{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# pyecharts\n",
"\n",
"pyecharts is a library to generate charts using Echarts. It simply provides the interface of 28+ kinds of charts between Echarts and Python. https://github.com/pyecharts/pyecharts\n",
"\n",
"> pip install pyecharts\n",
" \n",
"> pip install echarts-countries-pypkg\n",
"\n",
"> pip install echarts-china-provinces-pypkg\n",
"\n",
"> pip install echarts-china-cities-pypkg"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"http://nbviewer.jupyter.org/github/pyecharts/pyecharts-users-cases/blob/master/notebook-users-cases/notebook-user-cases.ipynb"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Bar"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"ExecuteTime": {
"end_time": "2018-05-06T07:01:19.434123Z",
"start_time": "2018-05-06T07:01:19.142243Z"
},
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Bar\n",
"\n",
"attr = [\"衬衫\", \"羊毛衫\", \"雪纺衫\", \"裤子\", \"高跟鞋\", \"袜子\"]\n",
"v1 = [5, 20, 36, 10, 75, 90]\n",
"v2 = [10, 25, 8, 60, 20, 80]\n",
"bar = Bar(\"柱状图数据堆叠示例\")\n",
"bar.add(\"商家A\", attr, v1, is_stack=True)\n",
"bar.add(\"商家B\", attr, v2, is_stack=True)\n",
"\n",
"bar"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"scrolled": true,
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bar = Bar(\"柱状图示例\")\n",
"bar.add(\"商家A\", attr, v1, is_stack=False)\n",
"bar.add(\"商家B\", attr, v2, is_stack=False)\n",
"\n",
"bar"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bar = Bar(\"标记线和标记点示例\")\n",
"bar.add(\"商家A\", attr, v1, mark_point=[\"average\"])\n",
"bar.add(\"商家B\", attr, v2, mark_line=[\"min\", \"max\"])\n",
"\n",
"bar"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bar = Bar(\"x 轴和 y 轴交换\")\n",
"bar.add(\"商家A\", attr, v1)\n",
"bar.add(\"商家B\", attr, v2, is_convert=True)\n",
"\n",
"bar"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import random\n",
"\n",
"attr = [\"{}天\".format(i) for i in range(30)]\n",
"v1 = [random.randint(1, 30) for _ in range(30)]\n",
"bar = Bar(\"Bar - datazoom - slider 示例\")\n",
"bar.add(\"\", attr, v1, is_label_show=True, is_datazoom_show=True)\n",
"\n",
"bar"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"attr = [\"{}天\".format(i) for i in range(20)]\n",
"v1 = [random.randint(1, 20) for _ in range(20)]\n",
"bar = Bar(\"坐标轴标签旋转示例\")\n",
"bar.add(\"\", attr, v1, xaxis_interval=0, xaxis_rotate=30, yaxis_rotate=30)\n",
"\n",
"bar"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Bar3D"
]
},
{
"cell_type": "code",
"execution_count": 147,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"from pyecharts import Bar3D\n",
"\n",
"bar3d = Bar3D(\"3D 柱状图示例\", width=1200, height=600)\n",
"x_axis = [\"12a\", \"1a\", \"2a\", \"3a\", \"4a\", \"5a\", \"6a\", \"7a\", \"8a\", \"9a\", \"10a\", \"11a\",\n",
" \"12p\", \"1p\", \"2p\", \"3p\", \"4p\", \"5p\", \"6p\", \"7p\", \"8p\", \"9p\", \"10p\", \"11p\"]\n",
"y_aixs = [\"Saturday\", \"Friday\", \"Thursday\", \"Wednesday\", \"Tuesday\", \"Monday\", \"Sunday\"]\n",
"data = [[0, 0, 5], [0, 1, 1], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0],\n",
" [0, 8, 0],[0, 9, 0], [0, 10, 0], [0, 11, 2], [0, 12, 4], [0, 13, 1], [0, 14, 1], [0, 15, 3],\n",
" [0, 16, 4], [0, 17, 6], [0, 18, 4], [0, 19, 4], [0, 20, 3], [0, 21, 3], [0, 22, 2], [0, 23, 5],\n",
" [1, 0, 7], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [1, 8, 0],\n",
" [1, 9, 0], [1, 10, 5], [1, 11, 2], [1, 12, 2], [1, 13, 6], [1, 14, 9], [1, 15, 11], [1, 16, 6], [1, 17, 7],\n",
" [1, 18, 8], [1, 19, 12], [1, 20, 5], [1, 21, 5], [1, 22, 7], [1, 23, 2], [2, 0, 1], [2, 1, 1],\n",
" [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [2, 8, 0], [2, 9, 0], [2, 10, 3],\n",
" [2, 11, 2], [2, 12, 1], [2, 13, 9], [2, 14, 8], [2, 15, 10], [2, 16, 6], [2, 17, 5], [2, 18, 5],\n",
" [2, 19, 5], [2, 20, 7], [2, 21, 4], [2, 22, 2], [2, 23, 4], [3, 0, 7], [3, 1, 3], [3, 2, 0], [3, 3, 0],\n",
" [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [3, 8, 1], [3, 9, 0], [3, 10, 5], [3, 11, 4], [3, 12, 7],\n",
" [3, 13, 14], [3, 14, 13], [3, 15, 12], [3, 16, 9], [3, 17, 5], [3, 18, 5], [3, 19, 10], [3, 20, 6],\n",
" [3, 21, 4], [3, 22, 4], [3, 23, 1], [4, 0, 1], [4, 1, 3], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 1],\n",
" [4, 6, 0], [4, 7, 0], [4, 8, 0], [4, 9, 2], [4, 10, 4], [4, 11, 4], [4, 12, 2], [4, 13, 4], [4, 14, 4],\n",
" [4, 15, 14], [4, 16, 12], [4, 17, 1], [4, 18, 8], [4, 19, 5], [4, 20, 3], [4, 21, 7], [4, 22, 3],\n",
" [4, 23, 0], [5, 0, 2], [5, 1, 1], [5, 2, 0], [5, 3, 3], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0],\n",
" [5, 8, 2], [5, 9, 0], [5, 10, 4], [5, 11, 1], [5, 12, 5], [5, 13, 10], [5, 14, 5], [5, 15, 7], [5, 16, 11],\n",
" [5, 17, 6], [5, 18, 0], [5, 19, 5], [5, 20, 3], [5, 21, 4], [5, 22, 2], [5, 23, 0], [6, 0, 1], [6, 1, 0],\n",
" [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0], [6, 8, 0], [6, 9, 0], [6, 10, 1],\n",
" [6, 11, 0], [6, 12, 2], [6, 13, 1], [6, 14, 3], [6, 15, 4], [6, 16, 0], [6, 17, 0], [6, 18, 0], [6, 19, 0],\n",
" [6, 20, 1], [6, 21, 2], [6, 22, 2], [6, 23, 6]]"
]
},
{
"cell_type": "code",
"execution_count": 148,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 148,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"range_color = ['#313695', '#4575b4', '#74add1', '#abd9e9', '#e0f3f8', '#ffffbf',\n",
" '#fee090', '#fdae61', '#f46d43', '#d73027', '#a50026']\n",
"bar3d.add(\"\", x_axis, y_aixs, [[d[1], d[0], d[2]] for d in data], is_visualmap=True,\n",
" visual_range=[0, 20], visual_range_color=range_color, grid3d_width=200, grid3d_depth=80)\n",
"\n",
"bar3d"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# EffectScatter"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import EffectScatter\n",
"\n",
"es = EffectScatter(\"动态散点图各种图形示例\")\n",
"es.add(\"\", [10], [10], symbol_size=20, effect_scale=3.5, effect_period=3, symbol=\"pin\")\n",
"es.add(\"\", [20], [20], symbol_size=12, effect_scale=4.5, effect_period=4,symbol=\"rect\")\n",
"es.add(\"\", [30], [30], symbol_size=30, effect_scale=5.5, effect_period=5,symbol=\"roundRect\")\n",
"es.add(\"\", [40], [40], symbol_size=10, effect_scale=6.5, effect_brushtype='fill',symbol=\"diamond\")\n",
"es.add(\"\", [50], [50], symbol_size=16, effect_scale=5.5, effect_period=3,symbol=\"arrow\")\n",
"es.add(\"\", [60], [60], symbol_size=6, effect_scale=2.5, effect_period=3,symbol=\"triangle\")\n",
"\n",
"es"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Funnel"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Funnel\n",
"\n",
"attr = [\"衬衫\", \"羊毛衫\", \"雪纺衫\", \"裤子\", \"高跟鞋\", \"袜子\"]\n",
"value = [20, 40, 60, 80, 100, 120]\n",
"funnel = Funnel(\"漏斗图示例\")\n",
"funnel.add(\"商品\", attr, value, is_label_show=True, label_pos=\"inside\", label_text_color=\"#fff\")\n",
"\n",
"funnel"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Gauge"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Gauge\n",
"\n",
"gauge = Gauge(\"仪表盘示例\")\n",
"gauge.add(\"业务指标\", \"完成率\", 66.66)\n",
"\n",
"gauge"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Geo"
]
},
{
"cell_type": "code",
"execution_count": 145,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"from pyecharts import Geo\n",
"\n",
"data = [\n",
" (\"海门\", 9),(\"鄂尔多斯\", 12),(\"招远\", 12),(\"舟山\", 12),(\"齐齐哈尔\", 14),(\"盐城\", 15),\n",
" (\"赤峰\", 16),(\"青岛\", 18),(\"乳山\", 18),(\"金昌\", 19),(\"泉州\", 21),(\"莱西\", 21),\n",
" (\"日照\", 21),(\"胶南\", 22),(\"南通\", 23),(\"拉萨\", 24),(\"云浮\", 24),(\"梅州\", 25),\n",
" (\"文登\", 25),(\"上海\", 25),(\"攀枝花\", 25),(\"威海\", 25),(\"承德\", 25),(\"厦门\", 26),\n",
" (\"汕尾\", 26),(\"潮州\", 26),(\"丹东\", 27),(\"太仓\", 27),(\"曲靖\", 27),(\"烟台\", 28),\n",
" (\"福州\", 29),(\"瓦房店\", 30),(\"即墨\", 30),(\"抚顺\", 31),(\"玉溪\", 31),(\"张家口\", 31),\n",
" (\"阳泉\", 31),(\"莱州\", 32),(\"湖州\", 32),(\"汕头\", 32),(\"昆山\", 33),(\"宁波\", 33),\n",
" (\"湛江\", 33),(\"揭阳\", 34),(\"荣成\", 34),(\"连云港\", 35),(\"葫芦岛\", 35),(\"常熟\", 36),\n",
" (\"东莞\", 36),(\"河源\", 36),(\"淮安\", 36),(\"泰州\", 36),(\"南宁\", 37),(\"营口\", 37),\n",
" (\"惠州\", 37),(\"江阴\", 37),(\"蓬莱\", 37),(\"韶关\", 38),(\"嘉峪关\", 38),(\"广州\", 38),\n",
" (\"延安\", 38),(\"太原\", 39),(\"清远\", 39),(\"中山\", 39),(\"昆明\", 39),(\"寿光\", 40),\n",
" (\"盘锦\", 40),(\"长治\", 41),(\"深圳\", 41),(\"珠海\", 42),(\"宿迁\", 43),(\"咸阳\", 43),\n",
" (\"铜川\", 44),(\"平度\", 44),(\"佛山\", 44),(\"海口\", 44),(\"江门\", 45),(\"章丘\", 45),\n",
" (\"肇庆\", 46),(\"大连\", 47),(\"临汾\", 47),(\"吴江\", 47),(\"石嘴山\", 49),(\"沈阳\", 50),\n",
" (\"苏州\", 50),(\"茂名\", 50),(\"嘉兴\", 51),(\"长春\", 51),(\"胶州\", 52),(\"银川\", 52),\n",
" (\"张家港\", 52),(\"三门峡\", 53),(\"锦州\", 54),(\"南昌\", 54),(\"柳州\", 54),(\"三亚\", 54),\n",
" (\"自贡\", 56),(\"吉林\", 56),(\"阳江\", 57),(\"泸州\", 57),(\"西宁\", 57),(\"宜宾\", 58),\n",
" (\"呼和浩特\", 58),(\"成都\", 58),(\"大同\", 58),(\"镇江\", 59),(\"桂林\", 59),(\"张家界\", 59),\n",
" (\"宜兴\", 59),(\"北海\", 60),(\"西安\", 61),(\"金坛\", 62),(\"东营\", 62),(\"牡丹江\", 63),\n",
" (\"遵义\", 63),(\"绍兴\", 63),(\"扬州\", 64),(\"常州\", 64),(\"潍坊\", 65),(\"重庆\", 66),\n",
" (\"台州\", 67),(\"南京\", 67),(\"滨州\", 70),(\"贵阳\", 71),(\"无锡\", 71),(\"本溪\", 71),\n",
" (\"克拉玛依\", 72),(\"渭南\", 72),(\"马鞍山\", 72),(\"宝鸡\", 72),(\"焦作\", 75),(\"句容\", 75),\n",
" (\"北京\", 79),(\"徐州\", 79),(\"衡水\", 80),(\"包头\", 80),(\"绵阳\", 80),(\"乌鲁木齐\", 84),\n",
" (\"枣庄\", 84),(\"杭州\", 84),(\"淄博\", 85),(\"鞍山\", 86),(\"溧阳\", 86),(\"库尔勒\", 86),\n",
" (\"安阳\", 90),(\"开封\", 90),(\"济南\", 92),(\"德阳\", 93),(\"温州\", 95),(\"九江\", 96),\n",
" (\"邯郸\", 98),(\"临安\", 99),(\"兰州\", 99),(\"沧州\", 100),(\"临沂\", 103),(\"南充\", 104),\n",
" (\"天津\", 105),(\"富阳\", 106),(\"泰安\", 112),(\"诸暨\", 112),(\"郑州\", 113),(\"哈尔滨\", 114),\n",
" (\"聊城\", 116),(\"芜湖\", 117),(\"唐山\", 119),(\"平顶山\", 119),(\"邢台\", 119),(\"德州\", 120),\n",
" (\"济宁\", 120),(\"荆州\", 127),(\"宜昌\", 130),(\"义乌\", 132),(\"丽水\", 133),(\"洛阳\", 134),\n",
" (\"秦皇岛\", 136),(\"株洲\", 143),(\"石家庄\", 147),(\"莱芜\", 148),(\"常德\", 152),(\"保定\", 153),\n",
" (\"湘潭\", 154),(\"金华\", 157),(\"岳阳\", 169),(\"长沙\", 175),(\"衢州\", 177),(\"廊坊\", 193),\n",
" (\"菏泽\", 194),(\"合肥\", 229),(\"武汉\", 273),(\"大庆\", 279)]"
]
},
{
"cell_type": "code",
"execution_count": 146,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 146,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"geo = Geo(\"全国主要城市空气质量\", \"data from pm2.5\", title_color=\"#fff\", title_pos=\"center\",\n",
"width=1200, height=600, background_color='#404a59')\n",
"attr, value = geo.cast(data)\n",
"geo.add(\"\", attr, value, visual_range=[0, 200], visual_text_color=\"#fff\", symbol_size=15, is_visualmap=True)\n",
"\n",
"geo"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"geo = Geo(\"全国主要城市空气质量\", \"data from pm2.5\", title_color=\"#fff\", title_pos=\"center\", width=1200, height=600,\n",
" background_color='#404a59')\n",
"attr, value = geo.cast(data)\n",
"geo.add(\"\", attr, value, type=\"heatmap\", is_visualmap=True, visual_range=[0, 300], visual_text_color='#fff')\n",
"\n",
"geo"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Graph"
]
},
{
"cell_type": "code",
"execution_count": 143,
"metadata": {},
"outputs": [],
"source": [
"from pyecharts import Graph\n",
"\n",
"nodes = [{\"name\": \"结点1\", \"symbolSize\": 10},\n",
" {\"name\": \"结点2\", \"symbolSize\": 20},\n",
" {\"name\": \"结点3\", \"symbolSize\": 30},\n",
" {\"name\": \"结点4\", \"symbolSize\": 40},\n",
" {\"name\": \"结点5\", \"symbolSize\": 50},\n",
" {\"name\": \"结点6\", \"symbolSize\": 40},\n",
" {\"name\": \"结点7\", \"symbolSize\": 30},\n",
" {\"name\": \"结点8\", \"symbolSize\": 20}]"
]
},
{
"cell_type": "code",
"execution_count": 144,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 144,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"links = []\n",
"for i in nodes:\n",
" for j in nodes:\n",
" links.append({\"source\": i.get('name'), \"target\": j.get('name')})\n",
"graph = Graph(\"关系图-力引导布局示例\")\n",
"graph.add(\"\", nodes, links, repulsion=8000)\n",
"\n",
"graph"
]
},
{
"cell_type": "code",
"execution_count": 140,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"from pyecharts import Graph\n",
"\n",
"nodes = [\n",
" { 'name': '乔布斯', 'symbolSize' : 30},\n",
" { 'name': '丽萨-乔布斯','symbolSize' : 20},\n",
" { 'name': '保罗-乔布斯','symbolSize' : 3},\n",
" { 'name': '克拉拉-乔布斯','symbolSize' : 3},\n",
" { 'name': '劳伦-鲍威尔','symbolSize' : 7},\n",
" { 'name': '史蒂夫-沃兹尼艾克','symbolSize' : 5},\n",
" { 'name': '奥巴马','symbolSize' : 8},\n",
" { 'name': '比尔-盖茨','symbolSize' : 9},\n",
" { 'name': '乔纳森-艾夫','symbolSize' : 4},\n",
" { 'name': '蒂姆-库克','symbolSize' : 4},\n",
" { 'name': '龙-韦恩','symbolSize' : 1},\n",
" ]\n"
]
},
{
"cell_type": "code",
"execution_count": 141,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"relationship = [('丽萨-乔布斯', '乔布斯', 1),\n",
" ('保罗-乔布斯', '乔布斯', 2),\n",
" ('克拉拉-乔布斯', '乔布斯', 1),\n",
" ('劳伦-鲍威尔', '乔布斯', 2),\n",
" ('史蒂夫-沃兹尼艾克', '乔布斯', 3),\n",
" ('奥巴马', '乔布斯', 1),\n",
" ('比尔-盖茨', '乔布斯', 6),\n",
" ('乔纳森-艾夫', '乔布斯', 1),\n",
" ('蒂姆-库克', '乔布斯', 1),\n",
" ('龙-韦恩', '乔布斯', 1),\n",
" ('克拉拉-乔布斯', '保罗-乔布斯', 1),\n",
" ('奥巴马', '保罗-乔布斯', 1),\n",
" ('奥巴马', '克拉拉-乔布斯', 1),\n",
" ('奥巴马', '劳伦-鲍威尔', 1),\n",
" ('奥巴马', '史蒂夫-沃兹尼艾克', 1),\n",
" ('比尔-盖茨', '奥巴马', 6),\n",
" ('比尔-盖茨', '克拉拉-乔布斯', 1),\n",
" ('蒂姆-库克', '奥巴马', 1)]"
]
},
{
"cell_type": "code",
"execution_count": 142,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 142,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"links = []\n",
"for i in relationship:\n",
" links.append({\"source\": i[0], \"target\": i[1]})\n",
"graph = Graph(\"关系图-力引导布局示例2\")\n",
"graph.add(\"\", nodes, links, repulsion=200)\n",
"\n",
"graph"
]
},
{
"cell_type": "code",
"execution_count": 150,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 150,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import networkx as nx\n",
"from networkx.readwrite import json_graph\n",
"from pyecharts import Graph\n",
"\n",
"g = nx.Graph()\n",
"g.add_node('G1', name='Gateway 1')\n",
"g.add_node('N2', name='Node 2')\n",
"g.add_node('N3', name='Node 3')\n",
"g.add_edge('G1', 'N2')\n",
"g.add_edge('G1', 'N3')\n",
"g_data = json_graph.node_link_data(g)\n",
"eg = Graph('设备最新拓扑图')\n",
"eg.add('Devices', nodes=g_data['nodes'], links=g_data['links'])\n",
"eg"
]
},
{
"cell_type": "code",
"execution_count": 156,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 156,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ba=nx.barabasi_albert_graph(100,5)\n",
"g_data = json_graph.node_link_data(ba)\n",
"eg = Graph('BA Network')\n",
"eg.add('BA', nodes=g_data['nodes'], links=g_data['links'])\n",
"eg"
]
},
{
"cell_type": "code",
"execution_count": 155,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 155,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"G=nx.karate_club_graph()\n",
"g_data = json_graph.node_link_data(G)\n",
"eg = Graph('karate_club')\n",
"eg.add('karate_club', nodes=g_data['nodes'], links=g_data['links'])\n",
"eg"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# HeatMap"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import HeatMap\n",
"\n",
"x_axis = [\"12a\", \"1a\", \"2a\", \"3a\", \"4a\", \"5a\", \"6a\", \"7a\", \"8a\", \"9a\", \"10a\", \"11a\",\n",
" \"12p\", \"1p\", \"2p\", \"3p\", \"4p\", \"5p\", \"6p\", \"7p\", \"8p\", \"9p\", \"10p\", \"11p\"]\n",
"y_aixs = [\"Saturday\", \"Friday\", \"Thursday\", \"Wednesday\", \"Tuesday\", \"Monday\", \"Sunday\"]\n",
"data = [[i, j, random.randint(0, 50)] for i in range(24) for j in range(7)]\n",
"heatmap = HeatMap()\n",
"heatmap.add(\"热力图直角坐标系\", x_axis, y_aixs, data, is_visualmap=True,\n",
" visual_text_color=\"#000\", visual_orient='horizontal')\n",
"\n",
"heatmap"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Kline"
]
},
{
"cell_type": "code",
"execution_count": 138,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"from pyecharts import Kline\n",
"\n",
"v1 = [[2320.26, 2320.26, 2287.3, 2362.94], [2300, 2291.3, 2288.26, 2308.38],\n",
" [2295.35, 2346.5, 2295.35, 2345.92], [2347.22, 2358.98, 2337.35, 2363.8],\n",
" [2360.75, 2382.48, 2347.89, 2383.76], [2383.43, 2385.42, 2371.23, 2391.82],\n",
" [2377.41, 2419.02, 2369.57, 2421.15], [2425.92, 2428.15, 2417.58, 2440.38],\n",
" [2411, 2433.13, 2403.3, 2437.42], [2432.68, 2334.48, 2427.7, 2441.73],\n",
" [2430.69, 2418.53, 2394.22, 2433.89], [2416.62, 2432.4, 2414.4, 2443.03],\n",
" [2441.91, 2421.56, 2418.43, 2444.8], [2420.26, 2382.91, 2373.53, 2427.07],\n",
" [2383.49, 2397.18, 2370.61, 2397.94], [2378.82, 2325.95, 2309.17, 2378.82],\n",
" [2322.94, 2314.16, 2308.76, 2330.88], [2320.62, 2325.82, 2315.01, 2338.78],\n",
" [2313.74, 2293.34, 2289.89, 2340.71], [2297.77, 2313.22, 2292.03, 2324.63],\n",
" [2322.32, 2365.59, 2308.92, 2366.16], [2364.54, 2359.51, 2330.86, 2369.65],\n",
" [2332.08, 2273.4, 2259.25, 2333.54], [2274.81, 2326.31, 2270.1, 2328.14],\n",
" [2333.61, 2347.18, 2321.6, 2351.44], [2340.44, 2324.29, 2304.27, 2352.02],\n",
" [2326.42, 2318.61, 2314.59, 2333.67], [2314.68, 2310.59, 2296.58, 2320.96],\n",
" [2309.16, 2286.6, 2264.83, 2333.29], [2282.17, 2263.97, 2253.25, 2286.33],\n",
" [2255.77, 2270.28, 2253.31, 2276.22]]\n"
]
},
{
"cell_type": "code",
"execution_count": 139,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 139,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"kline = Kline(\"K 线图示例\")\n",
"kline.add(\"日K\", [\"2017/7/{}\".format(i + 1) for i in range(31)], v1)\n",
"\n",
"kline"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Line"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Line\n",
"\n",
"attr = [\"衬衫\", \"羊毛衫\", \"雪纺衫\", \"裤子\", \"高跟鞋\", \"袜子\"]\n",
"v1 = [5, 20, 36, 10, 10, 100]\n",
"v2 = [55, 60, 16, 20, 15, 80]\n",
"line = Line(\"折线图示例\")\n",
"line.add(\"商家A\", attr, v1, mark_point=[\"average\"])\n",
"line.add(\"商家B\", attr, v2, is_smooth=True, mark_line=[\"max\", \"average\"])\n",
"\n",
"line"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"line = Line(\"折线图-面积图示例\")\n",
"line.add(\"商家A\", attr, v1, is_fill=True, line_opacity=0.2, area_opacity=0.4, symbol=None)\n",
"line.add(\"商家B\", attr, v2, is_fill=True, area_color='#000', area_opacity=0.3, is_smooth=True)\n",
"\n",
"line"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Line3D"
]
},
{
"cell_type": "code",
"execution_count": 136,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"from pyecharts import Line3D\n",
"\n",
"import math\n",
"_data = []\n",
"for t in range(0, 25000):\n",
" _t = t / 1000\n",
" x = (1 + 0.25 * math.cos(75 * _t)) * math.cos(_t)\n",
" y = (1 + 0.25 * math.cos(75 * _t)) * math.sin(_t)\n",
" z = _t + 2.0 * math.sin(75 * _t)\n",
" _data.append([x, y, z])"
]
},
{
"cell_type": "code",
"execution_count": 137,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 137,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"range_color = ['#313695', '#4575b4', '#74add1', '#abd9e9', '#e0f3f8', '#ffffbf',\n",
" '#fee090', '#fdae61', '#f46d43', '#d73027', '#a50026']\n",
"line3d = Line3D(\"3D 折线图示例\", width=1200, height=600)\n",
"line3d.add(\"\", _data, is_visualmap=True, visual_range_color=range_color, visual_range=[0, 30],\n",
" is_grid3d_rotate=True, grid3d_rotate_speed=180)\n",
"\n",
"line3d"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Liquid"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Liquid\n",
"\n",
"liquid = Liquid(\"水球图示例\")\n",
"liquid.add(\"Liquid\", [0.6, 0.5, 0.4, 0.3], is_liquid_outline_show=False)\n",
"\n",
"liquid"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Map"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Map\n",
"\n",
"value = [155, 10, 66, 78]\n",
"attr = [\"福建\", \"山东\", \"北京\", \"上海\"]\n",
"map = Map(\"全国地图示例\", width=1200, height=600)\n",
"map.add(\"\", attr, value, maptype='china')\n",
"\n",
"map"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Map\n",
"\n",
"value = [20, 90, 453, 77, 65]\n",
"attr = ['南京市', '镇江市', '扬州市', '徐州市', '苏州市']\n",
"map = Map(\"江苏省地图示例\", width=1200, height=600)\n",
"map.add(\"\", attr, value, maptype='江苏', is_visualmap=True, visual_text_color='#000')\n",
"\n",
"map"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"#https://baike.baidu.com/item/沧州\n",
"data = [('运河区', 109.92), ('新华区', 109.47), ('泊头市', 1006.5),\n",
" ('任丘市', 1023.0), ('黄骅市', 1544.7), ('河间市', 1333.0),\n",
" ('沧县', 1104.0), ('青县', 968.0), ('东光县', 730.0),\n",
" ('海兴县', 915.1), ('盐山县', 796.0), ('肃宁县', 525.0),\n",
" ('南皮县', 794.0), ('吴桥县', 600.0), ('献县', 1191.0),\n",
" ('孟村回族自治县', 387.0)]"
]
},
{
"cell_type": "code",
"execution_count": 135,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 135,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"districts, areas = zip(*data)\n",
"\n",
"map = Map(\"沧州市图例－各区面积\", width=1200, height=600)\n",
"map.add(\"\", districts, areas, maptype='沧州', is_visualmap=True, visual_range=[min(areas), max(areas)],\n",
" visual_text_color='#000', is_map_symbol_show=False, is_label_show=True)\n",
"map"
]
},
{
"cell_type": "code",
"execution_count": 111,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 111,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"value = [1, 100]\n",
"attr = ['Gujarat', 'Tamil Nadu']\n",
"map = Map('India', width=800, height=600)\n",
"map.add('', attr, value, maptype=u'印度', is_visualmap=True, visual_text_color=\"#000\")\n",
"map"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"value = [95.1, 23.2, 43.3, 66.4, 88.5]\n",
"attr= [\"China\", \"Canada\", \"Brazil\", \"Russia\", \"United States\"]\n",
"map = Map(\"世界地图示例\", width=1200, height=600)\n",
"map.add(\"\", attr, value, maptype=\"world\", is_visualmap=True, visual_text_color='#000')\n",
"\n",
"map"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Parallel"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Parallel\n",
"\n",
"schema = [\"data\", \"AQI\", \"PM2.5\", \"PM10\", \"CO\", \"NO2\"]\n",
"data = [[1, 91, 45, 125, 0.82, 34],\n",
" [2, 65, 27, 78, 0.86, 45,],\n",
" [3, 83, 60, 84, 1.09, 73],\n",
" [4, 109, 81, 121, 1.28, 68],\n",
" [5, 106, 77, 114, 1.07, 55],\n",
" [6, 109, 81, 121, 1.28, 68],\n",
" [7, 106, 77, 114, 1.07, 55],\n",
" [8, 89, 65, 78, 0.86, 51, 26],\n",
" [9, 53, 33, 47, 0.64, 50, 17],\n",
" [10, 80, 55, 80, 1.01, 75, 24],\n",
" [11, 117, 81, 124, 1.03, 45]]\n",
"parallel = Parallel(\"平行坐标系-默认指示器\")\n",
"parallel.config(schema) \n",
"parallel.add(\"parallel\", data, is_random=True)\n",
"\n",
"parallel"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Pie"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Pie\n",
"\n",
"attr = [\"衬衫\", \"羊毛衫\", \"雪纺衫\", \"裤子\", \"高跟鞋\", \"袜子\"]\n",
"v1 = [11, 12, 13, 10, 10, 10]\n",
"pie = Pie(\"饼图示例\")\n",
"pie.add(\"\", attr, v1, is_label_show=True)\n",
"\n",
"pie"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"attr = [\"衬衫\", \"羊毛衫\", \"雪纺衫\", \"裤子\", \"高跟鞋\", \"袜子\"]\n",
"v1 = [11, 12, 13, 10, 10, 10]\n",
"v2 = [19, 21, 32, 20, 20, 33]\n",
"pie = Pie(\"饼图-玫瑰图示例\", title_pos='center', width=900)\n",
"pie.add(\"商品A\", attr, v1, center=[25, 50], is_random=True, radius=[30, 75], rosetype='radius')\n",
"pie.add(\"商品B\", attr, v2, center=[75, 50], is_random=True, radius=[30, 75], rosetype='area',\n",
" is_legend_show=False, is_label_show=True)\n",
"\n",
"pie"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Polar"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Polar\n",
"\n",
"import random\n",
"data = [(i, random.randint(1, 100)) for i in range(101)]\n",
"polar = Polar(\"极坐标系-散点图示例\")\n",
"polar.add(\"\", data, boundary_gap=False, type='scatter', is_splitline_show=False,\n",
" area_color=None, is_axisline_show=True)\n",
"\n",
"polar"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"radius = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']\n",
"polar = Polar(\"极坐标系-堆叠柱状图示例\", width=1200, height=600)\n",
"polar.add(\"A\", [1, 2, 3, 4, 3, 5, 1], radius_data=radius, type='barRadius', is_stack=True)\n",
"polar.add(\"B\", [2, 4, 6, 1, 2, 3, 1], radius_data=radius, type='barRadius', is_stack=True)\n",
"polar.add(\"C\", [1, 2, 3, 4, 1, 2, 5], radius_data=radius, type='barRadius', is_stack=True)\n",
"\n",
"polar"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Radar"
]
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 89,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Radar\n",
"\n",
"schema = [ \n",
" (\"销售\", 6500), (\"管理\", 16000), (\"信息技术\", 30000), (\"客服\", 38000), (\"研发\", 52000), (\"市场\", 25000)]\n",
"v1 = [[4300, 10000, 28000, 35000, 50000, 19000]]\n",
"v2 = [[5000, 14000, 28000, 31000, 42000, 21000]]\n",
"radar = Radar()\n",
"radar.config(schema)\n",
"radar.add(\"预算分配\", v1, is_splitline=True, is_axisline_show=True)\n",
"radar.add(\"实际开销\", v2, label_color=[\"#4e79a7\"], is_area_show=False, legend_selectedmode='single')\n",
"\n",
"radar"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Scatter"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"ExecuteTime": {
"end_time": "2019-04-23T04:43:51.698267Z",
"start_time": "2019-04-23T04:43:51.691690Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Help on Scatter in module pyecharts.charts.scatter object:\n",
"\n",
"class Scatter(pyecharts.chart.Chart)\n",
" | <<< 散点图 >>>\n",
" | \n",
" | 直角坐标系上的散点图可以用来展现数据的 x，y 之间的关系，如果数据项有多个维度，\n",
" | 可以用颜色来表现，利用 geo 组件。\n",
" | \n",
" | Method resolution order:\n",
" | Scatter\n",
" | pyecharts.chart.Chart\n",
" | pyecharts.base.Base\n",
" | builtins.object\n",
" | \n",
" | Methods defined here:\n",
" | \n",
" | __init__(self, title='', subtitle='', **kwargs)\n",
" | :param title:\n",
" | 主标题文本，支持 \n",
" | 换行，默认为 \"\"\n",
" | :param subtitle:\n",
" | 副标题文本，支持 \n",
" | 换行，默认为 \"\"\n",
" | :param width:\n",
" | 画布宽度，默认为 800（px）\n",
" | :param height:\n",
" | 画布高度，默认为 400（px）\n",
" | :param title_pos:\n",
" | 标题距离左侧距离，默认为'left'，有'auto', 'left', 'right',\n",
" | 'center'可选，也可为百分比或整数\n",
" | :param title_top:\n",
" | 标题距离顶部距离，默认为'top'，有'top', 'middle', 'bottom'可选，\n",
" | 也可为百分比或整数\n",
" | :param title_color:\n",
" | 主标题文本颜色，默认为 '#000'\n",
" | :param subtitle_color:\n",
" | 副标题文本颜色，默认为 '#aaa'\n",
" | :param title_text_size:\n",
" | 主标题文本字体大小，默认为 18\n",
" | :param subtitle_text_size:\n",
" | 副标题文本字体大小，默认为 12\n",
" | :param background_color:\n",
" | 画布背景颜色，默认为 '#fff'\n",
" | :param page_title:\n",
" | 指定生成的 html 文件中 标签的值。默认为 'Echarts'\n",
" | :param renderer:\n",
" | 指定使用渲染方式，有 'svg' 和 'canvas' 可选，默认为 'canvas'。\n",
" | 3D 图仅能使用 'canvas'。\n",
" | \n",
" | add(self, *args, **kwargs)\n",
" | `add()` 方法只是用于提供自动参数补全\n",
" | \n",
" | draw(self, path, color=None)\n",
" | 将图片上的像素点转换为数组，如 color 为（255,255,255）时只保留非白色像素点的\n",
" | 坐标信息返回两个 k_lst, v_lst 两个列表刚好作为散点图的数据项\n",
" | \n",
" | :param path:\n",
" | 转换图片的地址\n",
" | :param color:\n",
" | 所要排除的颜色\n",
" | :return:\n",
" | 转换后的数组\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Methods inherited from pyecharts.base.Base:\n",
" | \n",
" | get_js_dependencies(self)\n",
" | 声明所有的 js 文件路径\n",
" | \n",
" | print_echarts_options(self)\n",
" | 打印输出图形所有配置项\n",
" | \n",
" | render(self, path='render.html', template_name='simple_chart.html', object_name='chart', extra_context=None)\n",
" | \n",
" | render_embed(self)\n",
" | 渲染图表的所有配置项，为 web pages 服务，不过需先提供\n",
" | 所需要的js 依赖文件\n",
" | \n",
" | show_config(self)\n",
" | 打印输出图形所有配置项\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Static methods inherited from pyecharts.base.Base:\n",
" | \n",
" | cast(seq)\n",
" | 转换数据序列，将带字典和元组类型的序列转换为 k_lst,v_lst 两个列表\n",
" | \n",
" | 元组列表\n",
" | [(A1, B1), (A2, B2), ...] -->\n",
" | k_lst[ A[i1, i2...] ], v_lst[ B[i1, i2...] ]\n",
" | 字典列表\n",
" | [{A1: B1}, {A2: B2}, ...] -->\n",
" | k_lst[ A[i1, i2...] ], v_lst[ B[i1, i2...] ]\n",
" | 字典\n",
" | {A1: B1, A2: B2, ...} -- >\n",
" | k_lst[ A[i1, i2...] ], v_lst[ B[i1, i2...] ]\n",
" | \n",
" | :param seq:\n",
" | 待转换的序列\n",
" | :return:\n",
" | \n",
" | ----------------------------------------------------------------------\n",
" | Data descriptors inherited from pyecharts.base.Base:\n",
" | \n",
" | __dict__\n",
" | dictionary for instance variables (if defined)\n",
" | \n",
" | __weakref__\n",
" | list of weak references to the object (if defined)\n",
" | \n",
" | chart_id\n",
" | \n",
" | js_dependencies\n",
" | \n",
" | options\n",
" | \n",
" | page_title\n",
"\n"
]
}
],
"source": [
"help(scatter)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2019-04-23T04:32:23.224359Z",
"start_time": "2019-04-23T04:32:23.210591Z"
},
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"<script>\n",
" require.config({\n",
" paths: {\n",
" 'echarts': '/nbextensions/echarts/echarts.min'\n",
" }\n",
" });\n",
"</script>\n",
" <div id=\"667d524a1a39455e9ec778718ef4b847\" style=\"width:800px;height:400px;\"></div>\n",
"\n",
"\n",
"<script>\n",
" require(['echarts'], function(echarts) {\n",
" \n",
"var myChart_667d524a1a39455e9ec778718ef4b847 = echarts.init(document.getElementById('667d524a1a39455e9ec778718ef4b847'), null, {renderer: 'canvas'});\n",
"var option_667d524a1a39455e9ec778718ef4b847 = {\n",
" \"legend\": [\n",
" {\n",
" \"data\": [\n",
" \"A\"\n",
" ],\n",
" \"top\": \"top\",\n",
" \"show\": true,\n",
" \"orient\": \"horizontal\",\n",
" \"selectedMode\": \"multiple\",\n",
" \"left\": \"center\",\n",
" \"textStyle\": {\n",
" \"fontSize\": 12,\n",
" \"color\": \"#333\"\n",
" }\n",
" }\n",
" ],\n",
" \"series\": [\n",
" {\n",
" \"markLine\": {\n",
" \"data\": []\n",
" },\n",
" \"data\": [\n",
" [\n",
" 10,\n",
" 10\n",
" ],\n",
" [\n",
" 20,\n",
" 20\n",
" ],\n",
" [\n",
" 30,\n",
" 30\n",
" ],\n",
" [\n",
" 40,\n",
" 40\n",
" ],\n",
" [\n",
" 50,\n",
" 50\n",
" ],\n",
" [\n",
" 60,\n",
" 60\n",
" ]\n",
" ],\n",
" \"label\": {\n",
" \"normal\": {\n",
" \"position\": \"top\",\n",
" \"show\": false,\n",
" \"formatter\": null,\n",
" \"textStyle\": {\n",
" \"fontSize\": 12,\n",
" \"color\": \"#000\"\n",
" }\n",
" },\n",
" \"emphasis\": {\n",
" \"position\": null,\n",
" \"show\": true,\n",
" \"textStyle\": {\n",
" \"fontSize\": 12,\n",
" \"color\": \"#fff\"\n",
" }\n",
" }\n",
" },\n",
" \"name\": \"A\",\n",
" \"markPoint\": {\n",
" \"data\": []\n",
" },\n",
" \"type\": \"scatter\",\n",
" \"symbolSize\": 10,\n",
" \"seriesId\": 5513557,\n",
" \"symbol\": \"circle\"\n",
" }\n",
" ],\n",
" \"backgroundColor\": \"#fff\",\n",
" \"yAxis\": [\n",
" {\n",
" \"boundaryGap\": true,\n",
" \"position\": null,\n",
" \"show\": true,\n",
" \"nameGap\": 25,\n",
" \"max\": null,\n",
" \"splitLine\": {\n",
" \"show\": true\n",
" },\n",
" \"min\": null,\n",
" \"inverse\": false,\n",
" \"axisLabel\": {\n",
" \"textStyle\": {\n",
" \"fontSize\": 12,\n",
" \"color\": \"#000\"\n",
" },\n",
" \"interval\": \"auto\",\n",
" \"margin\": 8,\n",
" \"formatter\": \"{value} \",\n",
" \"rotate\": 0\n",
" },\n",
" \"nameLocation\": \"middle\",\n",
" \"name\": \"\",\n",
" \"nameTextStyle\": {\n",
" \"fontSize\": 14\n",
" },\n",
" \"type\": \"value\",\n",
" \"axisTick\": {\n",
" \"alignWithLabel\": false\n",
" }\n",
" }\n",
" ],\n",
" \"tooltip\": {\n",
" \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
" \"borderWidth\": 0,\n",
" \"axisPointer\": {\n",
" \"type\": \"line\"\n",
" },\n",
" \"formatter\": null,\n",
" \"borderColor\": \"#333\",\n",
" \"trigger\": \"item\",\n",
" \"triggerOn\": \"mousemove|click\",\n",
" \"textStyle\": {\n",
" \"fontSize\": 14,\n",
" \"color\": \"#fff\"\n",
" }\n",
" },\n",
" \"toolbox\": {\n",
" \"feature\": {\n",
" \"dataView\": {\n",
" \"show\": true\n",
" },\n",
" \"saveAsImage\": {\n",
" \"show\": true,\n",
" \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\"\n",
" },\n",
" \"restore\": {\n",
" \"show\": true\n",
" }\n",
" },\n",
" \"show\": true,\n",
" \"left\": \"95%\",\n",
" \"top\": \"center\",\n",
" \"orient\": \"vertical\"\n",
" },\n",
" \"xAxis\": [\n",
" {\n",
" \"boundaryGap\": true,\n",
" \"position\": null,\n",
" \"show\": true,\n",
" \"nameGap\": 25,\n",
" \"max\": null,\n",
" \"data\": [\n",
" 10,\n",
" 20,\n",
" 30,\n",
" 40,\n",
" 50,\n",
" 60\n",
" ],\n",
" \"min\": null,\n",
" \"inverse\": false,\n",
" \"axisLabel\": {\n",
" \"textStyle\": {\n",
" \"fontSize\": 12,\n",
" \"color\": \"#000\"\n",
" },\n",
" \"interval\": \"auto\",\n",
" \"margin\": 8,\n",
" \"rotate\": 0\n",
" },\n",
" \"nameLocation\": \"middle\",\n",
" \"name\": \"\",\n",
" \"nameTextStyle\": {\n",
" \"fontSize\": 14\n",
" },\n",
" \"type\": \"value\",\n",
" \"axisTick\": {\n",
" \"alignWithLabel\": false\n",
" }\n",
" }\n",
" ],\n",
" \"series_id\": 5513557,\n",
" \"color\": [\n",
" \"#c23531\",\n",
" \"#2f4554\",\n",
" \"#61a0a8\",\n",
" \"#d48265\",\n",
" \"#749f83\",\n",
" \"#ca8622\",\n",
" \"#bda29a\",\n",
" \"#6e7074\",\n",
" \"#546570\",\n",
" \"#c4ccd3\",\n",
" \"#f05b72\",\n",
" \"#ef5b9c\",\n",
" \"#f47920\",\n",
" \"#905a3d\",\n",
" \"#fab27b\",\n",
" \"#2a5caa\",\n",
" \"#444693\",\n",
" \"#726930\",\n",
" \"#b2d235\",\n",
" \"#6d8346\",\n",
" \"#ac6767\",\n",
" \"#1d953f\",\n",
" \"#6950a1\",\n",
" \"#918597\",\n",
" \"#f6f5ec\"\n",
" ],\n",
" \"title\": [\n",
" {\n",
" \"text\": \"\\u6563\\u70b9\\u56fe\\u793a\\u4f8b\",\n",
" \"subtext\": \"\",\n",
" \"subtextStyle\": {\n",
" \"fontSize\": 12,\n",
" \"color\": \"#aaa\"\n",
" },\n",
" \"top\": \"auto\",\n",
" \"left\": \"auto\",\n",
" \"textStyle\": {\n",
" \"fontSize\": 18,\n",
" \"color\": \"#000\"\n",
" }\n",
" }\n",
" ]\n",
"};\n",
"myChart_667d524a1a39455e9ec778718ef4b847.setOption(option_667d524a1a39455e9ec778718ef4b847);\n",
"\n",
" });\n",
"</script>\n"
],
"text/plain": [
"<pyecharts.charts.scatter.Scatter at 0x10f418860>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Scatter\n",
"\n",
"v1 = [10, 20, 30, 40, 50, 60]\n",
"v2 = [10, 20, 30, 40, 50, 60]\n",
"scatter = Scatter(\"散点图示例\")\n",
"scatter.add(\"A\", v1, v2)\n",
"#scatter.add(\"B\", v1[::-1], v2)\n",
"\n",
"scatter"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"<script>\n",
" require.config({\n",
" paths: {\n",
" 'echarts': '/nbextensions/echarts/echarts.min'\n",
" }\n",
" });\n",
"</script>\n",
" <div id=\"b12934bf6f46466a856a00526a1544be\" style=\"width:800px;height:400px;\"></div>\n",
"\n",
"\n",
"<script>\n",
" require(['echarts'], function(echarts) {\n",
" \n",
"var myChart_b12934bf6f46466a856a00526a1544be = echarts.init(document.getElementById('b12934bf6f46466a856a00526a1544be'), null, {renderer: 'canvas'});\n",
"var option_b12934bf6f46466a856a00526a1544be = {\n",
" \"series\": [\n",
" {\n",
" \"seriesId\": 6806247,\n",
" \"data\": [\n",
" [\n",
" \"a\",\n",
" 10\n",
" ],\n",
" [\n",
" \"b\",\n",
" 20\n",
" ],\n",
" [\n",
" \"c\",\n",
" 30\n",
" ],\n",
" [\n",
" \"d\",\n",
" 40\n",
" ],\n",
" [\n",
" \"e\",\n",
" 50\n",
" ],\n",
" [\n",
" \"f\",\n",
" 60\n",
" ]\n",
" ],\n",
" \"markPoint\": {\n",
" \"data\": []\n",
" },\n",
" \"symbol\": \"circle\",\n",
" \"type\": \"scatter\",\n",
" \"symbolSize\": 10,\n",
" \"name\": \"A\",\n",
" \"label\": {\n",
" \"normal\": {\n",
" \"formatter\": null,\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"position\": \"top\",\n",
" \"show\": false\n",
" },\n",
" \"emphasis\": {\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"position\": null,\n",
" \"show\": true\n",
" }\n",
" },\n",
" \"markLine\": {\n",
" \"data\": []\n",
" }\n",
" },\n",
" {\n",
" \"seriesId\": 6806247,\n",
" \"data\": [\n",
" [\n",
" \"a\",\n",
" 60\n",
" ],\n",
" [\n",
" \"b\",\n",
" 50\n",
" ],\n",
" [\n",
" \"c\",\n",
" 40\n",
" ],\n",
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" \"formatter\": null,\n",
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" \"fontSize\": 12\n",
" },\n",
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" }\n",
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" ],\n",
" \"legend\": [\n",
" {\n",
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" \"data\": [\n",
" \"A\",\n",
" \"B\"\n",
" ],\n",
" \"left\": \"center\",\n",
" \"top\": \"top\",\n",
" \"textStyle\": {\n",
" \"color\": \"#333\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"show\": true,\n",
" \"orient\": \"horizontal\"\n",
" }\n",
" ],\n",
" \"color\": [\n",
" \"#c23531\",\n",
" \"#2f4554\",\n",
" \"#61a0a8\",\n",
" \"#d48265\",\n",
" \"#749f83\",\n",
" \"#ca8622\",\n",
" \"#bda29a\",\n",
" \"#6e7074\",\n",
" \"#546570\",\n",
" \"#c4ccd3\",\n",
" \"#f05b72\",\n",
" \"#ef5b9c\",\n",
" \"#f47920\",\n",
" \"#905a3d\",\n",
" \"#fab27b\",\n",
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" \"#444693\",\n",
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" \"#6950a1\",\n",
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" \"#f6f5ec\"\n",
" ],\n",
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" {\n",
" \"text\": \"\\u6563\\u70b9\\u56fe\\u793a\\u4f8b\",\n",
" \"subtextStyle\": {\n",
" \"color\": \"#aaa\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"left\": \"auto\",\n",
" \"top\": \"auto\",\n",
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" \"color\": \"#000\",\n",
" \"fontSize\": 18\n",
" },\n",
" \"subtext\": \"\"\n",
" }\n",
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" \"backgroundColor\": \"#fff\",\n",
" \"yAxis\": [\n",
" {\n",
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" },\n",
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" },\n",
" \"axisLabel\": {\n",
" \"margin\": 8,\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"formatter\": \"{value} \",\n",
" \"interval\": \"auto\",\n",
" \"rotate\": 0\n",
" }\n",
" }\n",
" ],\n",
" \"series_id\": 6806247,\n",
" \"xAxis\": [\n",
" {\n",
" \"nameLocation\": \"middle\",\n",
" \"axisTick\": {\n",
" \"alignWithLabel\": false\n",
" },\n",
" \"position\": null,\n",
" \"type\": \"category\",\n",
" \"max\": null,\n",
" \"name\": \"\",\n",
" \"min\": null,\n",
" \"nameGap\": 25,\n",
" \"boundaryGap\": true,\n",
" \"show\": true,\n",
" \"inverse\": false,\n",
" \"data\": [\n",
" \"a\",\n",
" \"b\",\n",
" \"c\",\n",
" \"d\",\n",
" \"e\",\n",
" \"f\"\n",
" ],\n",
" \"nameTextStyle\": {\n",
" \"fontSize\": 14\n",
" },\n",
" \"axisLabel\": {\n",
" \"margin\": 8,\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"interval\": \"auto\",\n",
" \"rotate\": 0\n",
" }\n",
" }\n",
" ],\n",
" \"toolbox\": {\n",
" \"feature\": {\n",
" \"dataView\": {\n",
" \"show\": true\n",
" },\n",
" \"saveAsImage\": {\n",
" \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\",\n",
" \"show\": true\n",
" },\n",
" \"restore\": {\n",
" \"show\": true\n",
" }\n",
" },\n",
" \"left\": \"95%\",\n",
" \"top\": \"center\",\n",
" \"show\": true,\n",
" \"orient\": \"vertical\"\n",
" },\n",
" \"tooltip\": {\n",
" \"borderWidth\": 0,\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 14\n",
" },\n",
" \"formatter\": null,\n",
" \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
" \"borderColor\": \"#333\",\n",
" \"triggerOn\": \"mousemove|click\",\n",
" \"trigger\": \"item\",\n",
" \"axisPointer\": {\n",
" \"type\": \"line\"\n",
" }\n",
" }\n",
"};\n",
"myChart_b12934bf6f46466a856a00526a1544be.setOption(option_b12934bf6f46466a856a00526a1544be);\n",
"\n",
" });\n",
"</script>\n"
],
"text/plain": [
"<pyecharts.charts.scatter.Scatter at 0x10ba887b8>"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scatter = Scatter(\"散点图示例\")\n",
"scatter.add(\"A\", [\"a\", \"b\", \"c\", \"d\", \"e\", \"f\"], v2)\n",
"scatter.add(\"B\", [\"a\", \"b\", \"c\", \"d\", \"e\", \"f\"], v1[::-1], xaxis_type=\"category\")\n",
"\n",
"scatter"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Scatter3D"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
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" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"position\": \"top\",\n",
" \"show\": false\n",
" },\n",
" \"emphasis\": {\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"position\": null,\n",
" \"show\": true\n",
" }\n",
" }\n",
" }\n",
" ],\n",
" \"legend\": [\n",
" {\n",
" \"selectedMode\": \"multiple\",\n",
" \"data\": [\n",
" \"\"\n",
" ],\n",
" \"left\": \"center\",\n",
" \"top\": \"top\",\n",
" \"textStyle\": {\n",
" \"color\": \"#333\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"show\": true,\n",
" \"orient\": \"horizontal\"\n",
" }\n",
" ],\n",
" \"color\": [\n",
" \"#c23531\",\n",
" \"#2f4554\",\n",
" \"#61a0a8\",\n",
" \"#d48265\",\n",
" \"#749f83\",\n",
" \"#ca8622\",\n",
" \"#bda29a\",\n",
" \"#6e7074\",\n",
" \"#546570\",\n",
" \"#c4ccd3\",\n",
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" \"#905a3d\",\n",
" \"#fab27b\",\n",
" \"#2a5caa\",\n",
" \"#444693\",\n",
" \"#726930\",\n",
" \"#b2d235\",\n",
" \"#6d8346\",\n",
" \"#ac6767\",\n",
" \"#1d953f\",\n",
" \"#6950a1\",\n",
" \"#918597\",\n",
" \"#f6f5ec\"\n",
" ],\n",
" \"grid3D\": {\n",
" \"boxHeight\": 100,\n",
" \"boxWidth\": 100,\n",
" \"boxDepth\": 100,\n",
" \"viewControl\": {\n",
" \"autoRotate\": false,\n",
" \"autoRotateSpeed\": 10,\n",
" \"rotateSensitivity\": 1\n",
" }\n",
" },\n",
" \"zAxis3D\": {\n",
" \"type\": \"value\",\n",
" \"max\": null,\n",
" \"name\": \"\",\n",
" \"min\": null,\n",
" \"nameGap\": 20,\n",
" \"nameTextStyle\": {\n",
" \"fontSize\": 16\n",
" },\n",
" \"axisLabel\": {\n",
" \"margin\": 8\n",
" }\n",
" },\n",
" \"visualMap\": {\n",
" \"calculable\": true,\n",
" \"type\": \"continuous\",\n",
" \"showLabel\": true,\n",
" \"max\": 100,\n",
" \"inRange\": {\n",
" \"color\": [\n",
" \"#313695\",\n",
" \"#4575b4\",\n",
" \"#74add1\",\n",
" \"#abd9e9\",\n",
" \"#e0f3f8\",\n",
" \"#ffffbf\",\n",
" \"#fee090\",\n",
" \"#fdae61\",\n",
" \"#f46d43\",\n",
" \"#d73027\",\n",
" \"#a50026\"\n",
" ]\n",
" },\n",
" \"min\": 0,\n",
" \"text\": [\n",
" \"high\",\n",
" \"low\"\n",
" ],\n",
" \"left\": \"left\",\n",
" \"top\": \"bottom\",\n",
" \"dimension\": null,\n",
" \"textStyle\": {\n",
" \"color\": null\n",
" },\n",
" \"splitNumber\": 5,\n",
" \"orient\": \"vertical\"\n",
" },\n",
" \"xAxis3D\": {\n",
" \"type\": \"value\",\n",
" \"max\": null,\n",
" \"name\": \"\",\n",
" \"min\": null,\n",
" \"nameGap\": 20,\n",
" \"nameTextStyle\": {\n",
" \"fontSize\": 16\n",
" },\n",
" \"axisLabel\": {\n",
" \"margin\": 8,\n",
" \"interval\": \"auto\"\n",
" }\n",
" },\n",
" \"title\": [\n",
" {\n",
" \"text\": \"3D \\u6563\\u70b9\\u56fe\\u793a\\u4f8b\",\n",
" \"subtextStyle\": {\n",
" \"color\": \"#aaa\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"left\": \"auto\",\n",
" \"top\": \"auto\",\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 18\n",
" },\n",
" \"subtext\": \"\"\n",
" }\n",
" ],\n",
" \"backgroundColor\": \"#fff\",\n",
" \"series_id\": 488285,\n",
" \"toolbox\": {\n",
" \"feature\": {\n",
" \"dataView\": {\n",
" \"show\": true\n",
" },\n",
" \"saveAsImage\": {\n",
" \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\",\n",
" \"show\": true\n",
" },\n",
" \"restore\": {\n",
" \"show\": true\n",
" }\n",
" },\n",
" \"left\": \"95%\",\n",
" \"top\": \"center\",\n",
" \"show\": true,\n",
" \"orient\": \"vertical\"\n",
" },\n",
" \"yAxis3D\": {\n",
" \"type\": \"value\",\n",
" \"max\": null,\n",
" \"name\": \"\",\n",
" \"min\": null,\n",
" \"nameGap\": 20,\n",
" \"nameTextStyle\": {\n",
" \"fontSize\": 16\n",
" },\n",
" \"axisLabel\": {\n",
" \"margin\": 8,\n",
" \"interval\": \"auto\"\n",
" }\n",
" },\n",
" \"tooltip\": {\n",
" \"borderWidth\": 0,\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 14\n",
" },\n",
" \"formatter\": null,\n",
" \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
" \"borderColor\": \"#333\",\n",
" \"triggerOn\": \"mousemove|click\",\n",
" \"trigger\": \"item\",\n",
" \"axisPointer\": {\n",
" \"type\": \"line\"\n",
" }\n",
" }\n",
"};\n",
"myChart_c01b65a0b2cf40b49f883a31993d6a49.setOption(option_c01b65a0b2cf40b49f883a31993d6a49);\n",
"\n",
" });\n",
"</script>\n"
],
"text/plain": [
"<pyecharts.charts.scatter3D.Scatter3D at 0x10be1d390>"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Scatter3D\n",
"\n",
"import random\n",
"data = [[random.randint(0, 100), random.randint(0, 100), random.randint(0, 100)] for _ in range(80)]\n",
"range_color = ['#313695', '#4575b4', '#74add1', '#abd9e9', '#e0f3f8', '#ffffbf',\n",
" '#fee090', '#fdae61', '#f46d43', '#d73027', '#a50026']\n",
"scatter3D = Scatter3D(\"3D 散点图示例\", width=1200, height=600)\n",
"scatter3D.add(\"\", data, is_visualmap=True, visual_range_color=range_color)\n",
"\n",
"scatter3D"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# WordCloud"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
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"<script>\n",
" require.config({\n",
" paths: {\n",
" 'echarts': '/nbextensions/echarts/echarts.min', 'wordcloud': '/nbextensions/echarts/echarts-wordcloud.min'\n",
" }\n",
" });\n",
"</script>\n",
" <div id=\"f05445f52d164da69019db8a62a45f3c\" style=\"width:1300px;height:620px;\"></div>\n",
"\n",
"\n",
"<script>\n",
" require(['echarts', 'wordcloud'], function(echarts) {\n",
" \n",
"var myChart_f05445f52d164da69019db8a62a45f3c = echarts.init(document.getElementById('f05445f52d164da69019db8a62a45f3c'), null, {renderer: 'canvas'});\n",
"var option_f05445f52d164da69019db8a62a45f3c = {\n",
" \"series\": [\n",
" {\n",
" \"girdSize\": 20,\n",
" \"data\": [\n",
" {\n",
" \"name\": \"Sam S Club\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(133,52,119)\"\n",
" }\n",
" },\n",
" \"value\": 10000\n",
" },\n",
" {\n",
" \"name\": \"Macys\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(148,92,82)\"\n",
" }\n",
" },\n",
" \"value\": 6181\n",
" },\n",
" {\n",
" \"name\": \"Amy Schumer\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(28,137,77)\"\n",
" }\n",
" },\n",
" \"value\": 4386\n",
" },\n",
" {\n",
" \"name\": \"Jurassic World\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(150,16,156)\"\n",
" }\n",
" },\n",
" \"value\": 4055\n",
" },\n",
" {\n",
" \"name\": \"Charter Communications\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(70,121,157)\"\n",
" }\n",
" },\n",
" \"value\": 2467\n",
" },\n",
" {\n",
" \"name\": \"Chick Fil A\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(72,153,148)\"\n",
" }\n",
" },\n",
" \"value\": 2244\n",
" },\n",
" {\n",
" \"name\": \"Planet Fitness\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(45,57,22)\"\n",
" }\n",
" },\n",
" \"value\": 1898\n",
" },\n",
" {\n",
" \"name\": \"Pitch Perfect\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(8,20,152)\"\n",
" }\n",
" },\n",
" \"value\": 1484\n",
" },\n",
" {\n",
" \"name\": \"Express\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(56,92,92)\"\n",
" }\n",
" },\n",
" \"value\": 1112\n",
" },\n",
" {\n",
" \"name\": \"Home\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(113,61,44)\"\n",
" }\n",
" },\n",
" \"value\": 965\n",
" },\n",
" {\n",
" \"name\": \"Johnny Depp\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(87,20,153)\"\n",
" }\n",
" },\n",
" \"value\": 847\n",
" },\n",
" {\n",
" \"name\": \"Lena Dunham\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(21,112,29)\"\n",
" }\n",
" },\n",
" \"value\": 582\n",
" },\n",
" {\n",
" \"name\": \"Lewis Hamilton\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(155,44,99)\"\n",
" }\n",
" },\n",
" \"value\": 555\n",
" },\n",
" {\n",
" \"name\": \"KXAN\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(145,112,147)\"\n",
" }\n",
" },\n",
" \"value\": 550\n",
" },\n",
" {\n",
" \"name\": \"Mary Ellen Mark\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(151,119,19)\"\n",
" }\n",
" },\n",
" \"value\": 462\n",
" },\n",
" {\n",
" \"name\": \"Farrah Abraham\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(69,120,12)\"\n",
" }\n",
" },\n",
" \"value\": 366\n",
" },\n",
" {\n",
" \"name\": \"Rita Ora\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(67,101,66)\"\n",
" }\n",
" },\n",
" \"value\": 360\n",
" },\n",
" {\n",
" \"name\": \"Serena Williams\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(135,90,4)\"\n",
" }\n",
" },\n",
" \"value\": 282\n",
" },\n",
" {\n",
" \"name\": \"NCAA baseball tournament\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(4,149,53)\"\n",
" }\n",
" },\n",
" \"value\": 273\n",
" },\n",
" {\n",
" \"name\": \"Point Break\",\n",
" \"textStyle\": {\n",
" \"normal\": {\n",
" \"color\": \"rgb(111,114,56)\"\n",
" }\n",
" },\n",
" \"value\": 265\n",
" }\n",
" ],\n",
" \"shape\": \"circle\",\n",
" \"type\": \"wordCloud\",\n",
" \"rotationRange\": [\n",
" -90,\n",
" 90\n",
" ],\n",
" \"name\": \"\",\n",
" \"sizeRange\": [\n",
" 20,\n",
" 100\n",
" ],\n",
" \"rotationStep\": 45\n",
" }\n",
" ],\n",
" \"legend\": [\n",
" {\n",
" \"selectedMode\": \"multiple\",\n",
" \"data\": [],\n",
" \"left\": \"center\",\n",
" \"top\": \"top\",\n",
" \"textStyle\": {\n",
" \"color\": \"#333\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"show\": true,\n",
" \"orient\": \"horizontal\"\n",
" }\n",
" ],\n",
" \"backgroundColor\": \"#fff\",\n",
" \"color\": [\n",
" \"#c23531\",\n",
" \"#2f4554\",\n",
" \"#61a0a8\",\n",
" \"#d48265\",\n",
" \"#749f83\",\n",
" \"#ca8622\",\n",
" \"#bda29a\",\n",
" \"#6e7074\",\n",
" \"#546570\",\n",
" \"#c4ccd3\",\n",
" \"#f05b72\",\n",
" \"#ef5b9c\",\n",
" \"#f47920\",\n",
" \"#905a3d\",\n",
" \"#fab27b\",\n",
" \"#2a5caa\",\n",
" \"#444693\",\n",
" \"#726930\",\n",
" \"#b2d235\",\n",
" \"#6d8346\",\n",
" \"#ac6767\",\n",
" \"#1d953f\",\n",
" \"#6950a1\",\n",
" \"#918597\",\n",
" \"#f6f5ec\"\n",
" ],\n",
" \"series_id\": 7569828,\n",
" \"toolbox\": {\n",
" \"feature\": {\n",
" \"dataView\": {\n",
" \"show\": true\n",
" },\n",
" \"saveAsImage\": {\n",
" \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\",\n",
" \"show\": true\n",
" },\n",
" \"restore\": {\n",
" \"show\": true\n",
" }\n",
" },\n",
" \"left\": \"95%\",\n",
" \"top\": \"center\",\n",
" \"show\": true,\n",
" \"orient\": \"vertical\"\n",
" },\n",
" \"title\": [\n",
" {\n",
" \"text\": \"\",\n",
" \"subtextStyle\": {\n",
" \"color\": \"#aaa\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"left\": \"auto\",\n",
" \"top\": \"auto\",\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 18\n",
" },\n",
" \"subtext\": \"\"\n",
" }\n",
" ],\n",
" \"tooltip\": {\n",
" \"borderWidth\": 0,\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 14\n",
" },\n",
" \"formatter\": null,\n",
" \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
" \"borderColor\": \"#333\",\n",
" \"triggerOn\": \"mousemove|click\",\n",
" \"trigger\": \"item\",\n",
" \"axisPointer\": {\n",
" \"type\": \"line\"\n",
" }\n",
" }\n",
"};\n",
"myChart_f05445f52d164da69019db8a62a45f3c.setOption(option_f05445f52d164da69019db8a62a45f3c);\n",
"\n",
" });\n",
"</script>\n"
],
"text/plain": [
"<pyecharts.charts.wordcloud.WordCloud at 0x10be1d9b0>"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import WordCloud\n",
"\n",
"name = ['Sam S Club', 'Macys', 'Amy Schumer', 'Jurassic World', 'Charter Communications',\n",
" 'Chick Fil A', 'Planet Fitness', 'Pitch Perfect', 'Express', 'Home', 'Johnny Depp',\n",
" 'Lena Dunham', 'Lewis Hamilton', 'KXAN', 'Mary Ellen Mark', 'Farrah Abraham',\n",
" 'Rita Ora', 'Serena Williams', 'NCAA baseball tournament', 'Point Break']\n",
"value = [10000, 6181, 4386, 4055, 2467, 2244, 1898, 1484, 1112, 965, 847, 582, 555,\n",
" 550, 462, 366, 360, 282, 273, 265]\n",
"wordcloud = WordCloud(width=1300, height=620)\n",
"wordcloud.add(\"\", name, value, word_size_range=[20, 100])\n",
"\n",
"wordcloud"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
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"<script>\n",
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" paths: {\n",
" 'echarts': '/nbextensions/echarts/echarts.min', 'wordcloud': '/nbextensions/echarts/echarts-wordcloud.min'\n",
" }\n",
" });\n",
"</script>\n",
" <div id=\"c06d7f6007bc4082b5f3dc213a19e7dd\" style=\"width:1300px;height:620px;\"></div>\n",
"\n",
"\n",
"<script>\n",
" require(['echarts', 'wordcloud'], function(echarts) {\n",
" \n",
"var myChart_c06d7f6007bc4082b5f3dc213a19e7dd = echarts.init(document.getElementById('c06d7f6007bc4082b5f3dc213a19e7dd'), null, {renderer: 'canvas'});\n",
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" \"series\": [\n",
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" \"girdSize\": 20,\n",
" \"data\": [\n",
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" {\n",
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" }\n",
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" }\n",
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" }\n",
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" 90\n",
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" \"name\": \"\",\n",
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" ],\n",
" \"legend\": [\n",
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" \"textStyle\": {\n",
" \"color\": \"#333\",\n",
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" },\n",
" \"show\": true,\n",
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" ],\n",
" \"backgroundColor\": \"#fff\",\n",
" \"color\": [\n",
" \"#c23531\",\n",
" \"#2f4554\",\n",
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" \"#d48265\",\n",
" \"#749f83\",\n",
" \"#ca8622\",\n",
" \"#bda29a\",\n",
" \"#6e7074\",\n",
" \"#546570\",\n",
" \"#c4ccd3\",\n",
" \"#f05b72\",\n",
" \"#ef5b9c\",\n",
" \"#f47920\",\n",
" \"#905a3d\",\n",
" \"#fab27b\",\n",
" \"#2a5caa\",\n",
" \"#444693\",\n",
" \"#726930\",\n",
" \"#b2d235\",\n",
" \"#6d8346\",\n",
" \"#ac6767\",\n",
" \"#1d953f\",\n",
" \"#6950a1\",\n",
" \"#918597\",\n",
" \"#f6f5ec\"\n",
" ],\n",
" \"series_id\": 1102927,\n",
" \"toolbox\": {\n",
" \"feature\": {\n",
" \"dataView\": {\n",
" \"show\": true\n",
" },\n",
" \"saveAsImage\": {\n",
" \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\",\n",
" \"show\": true\n",
" },\n",
" \"restore\": {\n",
" \"show\": true\n",
" }\n",
" },\n",
" \"left\": \"95%\",\n",
" \"top\": \"center\",\n",
" \"show\": true,\n",
" \"orient\": \"vertical\"\n",
" },\n",
" \"title\": [\n",
" {\n",
" \"text\": \"\",\n",
" \"subtextStyle\": {\n",
" \"color\": \"#aaa\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"left\": \"auto\",\n",
" \"top\": \"auto\",\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 18\n",
" },\n",
" \"subtext\": \"\"\n",
" }\n",
" ],\n",
" \"tooltip\": {\n",
" \"borderWidth\": 0,\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 14\n",
" },\n",
" \"formatter\": null,\n",
" \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
" \"borderColor\": \"#333\",\n",
" \"triggerOn\": \"mousemove|click\",\n",
" \"trigger\": \"item\",\n",
" \"axisPointer\": {\n",
" \"type\": \"line\"\n",
" }\n",
" }\n",
"};\n",
"myChart_c06d7f6007bc4082b5f3dc213a19e7dd.setOption(option_c06d7f6007bc4082b5f3dc213a19e7dd);\n",
"\n",
" });\n",
"</script>\n"
],
"text/plain": [
"<pyecharts.charts.wordcloud.WordCloud at 0x11da71240>"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import jieba.analyse\n",
"import numpy as np\n",
"\n",
"with open('../data/gov_reports1954-2017.txt', 'r') as f:\n",
" reports = f.readlines()\n",
"\n",
"txt = reports[-1]\n",
"tf = jieba.analyse.extract_tags(txt, topK=100, withWeight=True)\n",
"name, value = np.array(tf).T\n",
"\n",
"wordcloud = WordCloud(width=1300, height=620)\n",
"wordcloud.add(\"\", name, value, word_size_range=[20, 100])\n",
"\n",
"wordcloud"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Grid"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"ExecuteTime": {
"end_time": "2018-05-06T07:07:19.481163Z",
"start_time": "2018-05-06T07:07:19.472338Z"
},
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"from pyecharts import Bar, Line, Scatter, EffectScatter, Grid \n",
"\n",
"attr = [\"衬衫\", \"羊毛衫\", \"雪纺衫\", \"裤子\", \"高跟鞋\", \"袜子\"]\n",
"v1 = [5, 20, 36, 10, 75, 90]\n",
"v2 = [10, 25, 8, 60, 20, 80]\n",
"bar = Bar(\"柱状图示例\", height=720, width=1200, title_pos=\"65%\")\n",
"bar.add(\"商家A\", attr, v1, is_stack=True)\n",
"bar.add(\"商家B\", attr, v2, is_stack=True, legend_pos=\"80%\")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2018-05-06T07:07:20.356507Z",
"start_time": "2018-05-06T07:07:20.334725Z"
},
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"\n",
"line = Line(\"折线图示例\")\n",
"attr = ['周一', '周二', '周三', '周四', '周五', '周六', '周日']\n",
"line.add(\"最高气温\", attr, [11, 11, 15, 13, 12, 13, 10], mark_point=[\"max\", \"min\"], mark_line=[\"average\"])\n",
"line.add(\"最低气温\", attr, [1, -2, 2, 5, 3, 2, 0], mark_point=[\"max\", \"min\"],\n",
" mark_line=[\"average\"], legend_pos=\"20%\")\n",
"v1 = [5, 20, 36, 10, 75, 90]\n",
"v2 = [10, 25, 8, 60, 20, 80]\n",
"scatter = Scatter(\"散点图示例\", title_top=\"50%\", title_pos=\"65%\")\n",
"scatter.add(\"scatter\", v1, v2, legend_top=\"50%\", legend_pos=\"80%\")\n",
"es = EffectScatter(\"动态散点图示例\", title_top=\"50%\")\n",
"es.add(\"es\", [11, 11, 15, 13, 12, 13, 10], [1, -2, 2, 5, 3, 2, 0], effect_scale=6,\n",
" legend_top=\"50%\", legend_pos=\"20%\")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"ExecuteTime": {
"end_time": "2018-05-06T07:07:21.523941Z",
"start_time": "2018-05-06T07:07:21.508684Z"
},
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
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" \"opacity\": 1,\n",
" \"color\": null,\n",
" \"type\": \"solid\",\n",
" \"curveness\": 0\n",
" }\n",
" },\n",
" \"stack\": \"\",\n",
" \"type\": \"line\",\n",
" \"markPoint\": {\n",
" \"data\": [\n",
" {\n",
" \"valueDim\": null,\n",
" \"name\": \"Maximum\",\n",
" \"type\": \"max\",\n",
" \"symbolSize\": 50,\n",
" \"label\": {\n",
" \"normal\": {\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\"\n",
" }\n",
" }\n",
" },\n",
" \"symbol\": \"pin\"\n",
" },\n",
" {\n",
" \"valueDim\": null,\n",
" \"name\": \"Minimum\",\n",
" \"type\": \"min\",\n",
" \"symbolSize\": 50,\n",
" \"label\": {\n",
" \"normal\": {\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\"\n",
" }\n",
" }\n",
" },\n",
" \"symbol\": \"pin\"\n",
" }\n",
" ]\n",
" },\n",
" \"xAxisIndex\": 1,\n",
" \"step\": false,\n",
" \"seriesId\": 5272637,\n",
" \"showSymbol\": true,\n",
" \"smooth\": false\n",
" },\n",
" {\n",
" \"name\": \"scatter\",\n",
" \"symbolSize\": 10,\n",
" \"type\": \"scatter\",\n",
" \"label\": {\n",
" \"emphasis\": {\n",
" \"position\": null,\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"show\": true\n",
" },\n",
" \"normal\": {\n",
" \"position\": \"top\",\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"show\": false,\n",
" \"formatter\": null\n",
" }\n",
" },\n",
" \"symbol\": \"circle\",\n",
" \"data\": [\n",
" [\n",
" 5,\n",
" 10\n",
" ],\n",
" [\n",
" 20,\n",
" 25\n",
" ],\n",
" [\n",
" 36,\n",
" 8\n",
" ],\n",
" [\n",
" 10,\n",
" 60\n",
" ],\n",
" [\n",
" 75,\n",
" 20\n",
" ],\n",
" [\n",
" 90,\n",
" 80\n",
" ]\n",
" ],\n",
" \"xAxisIndex\": 2,\n",
" \"markLine\": {\n",
" \"data\": []\n",
" },\n",
" \"markPoint\": {\n",
" \"data\": []\n",
" },\n",
" \"seriesId\": 7664599,\n",
" \"yAxisIndex\": 2\n",
" },\n",
" {\n",
" \"yAxisIndex\": 3,\n",
" \"name\": \"es\",\n",
" \"xAxisIndex\": 3,\n",
" \"label\": {\n",
" \"emphasis\": {\n",
" \"position\": null,\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"show\": true\n",
" },\n",
" \"normal\": {\n",
" \"position\": \"top\",\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"show\": false,\n",
" \"formatter\": null\n",
" }\n",
" },\n",
" \"type\": \"effectScatter\",\n",
" \"seriesId\": 6322629,\n",
" \"data\": [\n",
" [\n",
" 11,\n",
" 1\n",
" ],\n",
" [\n",
" 11,\n",
" -2\n",
" ],\n",
" [\n",
" 15,\n",
" 2\n",
" ],\n",
" [\n",
" 13,\n",
" 5\n",
" ],\n",
" [\n",
" 12,\n",
" 3\n",
" ],\n",
" [\n",
" 13,\n",
" 2\n",
" ],\n",
" [\n",
" 10,\n",
" 0\n",
" ]\n",
" ],\n",
" \"showEffectOn\": \"render\",\n",
" \"symbolSize\": 10,\n",
" \"rippleEffect\": {\n",
" \"period\": 4,\n",
" \"scale\": 6,\n",
" \"brushType\": \"stroke\"\n",
" },\n",
" \"symbol\": \"circle\"\n",
" }\n",
" ],\n",
" \"grid\": [\n",
" {\n",
" \"bottom\": \"60%\",\n",
" \"left\": \"60%\"\n",
" },\n",
" {\n",
" \"bottom\": \"60%\",\n",
" \"left\": \"60%\"\n",
" },\n",
" {\n",
" \"right\": \"60%\",\n",
" \"bottom\": \"60%\"\n",
" },\n",
" {\n",
" \"right\": \"60%\",\n",
" \"bottom\": \"60%\"\n",
" },\n",
" {\n",
" \"top\": \"60%\",\n",
" \"left\": \"60%\"\n",
" },\n",
" {\n",
" \"right\": \"60%\",\n",
" \"top\": \"60%\"\n",
" }\n",
" ],\n",
" \"series_id\": 3944099\n",
"};\n",
"myChart_682d2e9b8bfa4e769700feffbbe2e4b1.setOption(option_682d2e9b8bfa4e769700feffbbe2e4b1);\n",
"\n",
" });\n",
"</script>\n"
],
"text/plain": [
"<pyecharts.custom.grid.Grid at 0x1109d9780>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"grid = Grid()\n",
"grid.add(bar, grid_bottom=\"60%\", grid_left=\"60%\")\n",
"grid.add(line, grid_bottom=\"60%\", grid_right=\"60%\")\n",
"grid.add(scatter, grid_top=\"60%\", grid_left=\"60%\")\n",
"grid.add(es, grid_top=\"60%\", grid_right=\"60%\")\n",
"\n",
"grid"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Save html files"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"ExecuteTime": {
"end_time": "2018-05-06T07:08:02.417679Z",
"start_time": "2018-05-06T07:08:02.406827Z"
},
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [],
"source": [
"grid.render(path = 'grid.html')\n",
"#help(grid.render)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Overlap"
]
},
{
"cell_type": "code",
"execution_count": 120,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"<script>\n",
" require.config({\n",
" paths: {\n",
" 'echarts': '/nbextensions/echarts/echarts.min'\n",
" }\n",
" });\n",
"</script>\n",
" <div id=\"522380e31e284c33b64b6eb6fb73beb2\" style=\"width:800px;height:400px;\"></div>\n",
"\n",
"\n",
"<script>\n",
" require(['echarts'], function(echarts) {\n",
" \n",
"var myChart_522380e31e284c33b64b6eb6fb73beb2 = echarts.init(document.getElementById('522380e31e284c33b64b6eb6fb73beb2'), null, {renderer: 'canvas'});\n",
"var option_522380e31e284c33b64b6eb6fb73beb2 = {\n",
" \"series\": [\n",
" {\n",
" \"data\": [\n",
" 10,\n",
" 20,\n",
" 30,\n",
" 40,\n",
" 50,\n",
" 60\n",
" ],\n",
" \"markPoint\": {\n",
" \"data\": []\n",
" },\n",
" \"markLine\": {\n",
" \"data\": []\n",
" },\n",
" \"type\": \"bar\",\n",
" \"stack\": \"\",\n",
" \"name\": \"bar\",\n",
" \"barCategoryGap\": \"20%\",\n",
" \"seriesId\": 2508144,\n",
" \"label\": {\n",
" \"normal\": {\n",
" \"position\": \"top\",\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"formatter\": null,\n",
" \"show\": false\n",
" },\n",
" \"emphasis\": {\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"position\": null,\n",
" \"show\": true\n",
" }\n",
" }\n",
" },\n",
" {\n",
" \"data\": [\n",
" 38,\n",
" 28,\n",
" 58,\n",
" 48,\n",
" 78,\n",
" 68\n",
" ],\n",
" \"markPoint\": {\n",
" \"data\": []\n",
" },\n",
" \"type\": \"line\",\n",
" \"lineStyle\": {\n",
" \"normal\": {\n",
" \"width\": 1,\n",
" \"opacity\": 1,\n",
" \"type\": \"solid\",\n",
" \"curveness\": 0,\n",
" \"color\": null\n",
" }\n",
" },\n",
" \"symbolSize\": 4,\n",
" \"stack\": \"\",\n",
" \"name\": \"line\",\n",
" \"yAxisIndex\": 0,\n",
" \"smooth\": false,\n",
" \"areaStyle\": {\n",
" \"color\": null,\n",
" \"opacity\": 0\n",
" },\n",
" \"markLine\": {\n",
" \"data\": []\n",
" },\n",
" \"symbol\": \"emptyCircle\",\n",
" \"step\": false,\n",
" \"xAxisIndex\": 0,\n",
" \"label\": {\n",
" \"normal\": {\n",
" \"formatter\": null,\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"position\": \"top\",\n",
" \"show\": false\n",
" },\n",
" \"emphasis\": {\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"position\": null,\n",
" \"show\": true\n",
" }\n",
" },\n",
" \"seriesId\": 2508144,\n",
" \"showSymbol\": true\n",
" }\n",
" ],\n",
" \"legend\": [\n",
" {\n",
" \"selectedMode\": \"multiple\",\n",
" \"data\": [\n",
" \"bar\",\n",
" \"line\"\n",
" ],\n",
" \"left\": \"center\",\n",
" \"top\": \"top\",\n",
" \"textStyle\": {\n",
" \"color\": \"#333\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"show\": true,\n",
" \"orient\": \"horizontal\"\n",
" }\n",
" ],\n",
" \"backgroundColor\": \"#fff\",\n",
" \"color\": [\n",
" \"#c23531\",\n",
" \"#2f4554\",\n",
" \"#61a0a8\",\n",
" \"#d48265\",\n",
" \"#749f83\",\n",
" \"#ca8622\",\n",
" \"#bda29a\",\n",
" \"#6e7074\",\n",
" \"#546570\",\n",
" \"#c4ccd3\",\n",
" \"#f05b72\",\n",
" \"#ef5b9c\",\n",
" \"#f47920\",\n",
" \"#905a3d\",\n",
" \"#fab27b\",\n",
" \"#2a5caa\",\n",
" \"#444693\",\n",
" \"#726930\",\n",
" \"#b2d235\",\n",
" \"#6d8346\",\n",
" \"#ac6767\",\n",
" \"#1d953f\",\n",
" \"#6950a1\",\n",
" \"#918597\",\n",
" \"#f6f5ec\"\n",
" ],\n",
" \"yAxis\": [\n",
" {\n",
" \"nameLocation\": \"middle\",\n",
" \"splitLine\": {\n",
" \"show\": true\n",
" },\n",
" \"position\": null,\n",
" \"inverse\": false,\n",
" \"show\": true,\n",
" \"max\": null,\n",
" \"name\": \"\",\n",
" \"min\": null,\n",
" \"nameGap\": 25,\n",
" \"boundaryGap\": true,\n",
" \"axisTick\": {\n",
" \"alignWithLabel\": false\n",
" },\n",
" \"type\": \"value\",\n",
" \"nameTextStyle\": {\n",
" \"fontSize\": 14\n",
" },\n",
" \"axisLabel\": {\n",
" \"margin\": 8,\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"formatter\": \"{value} \",\n",
" \"interval\": \"auto\",\n",
" \"rotate\": 0\n",
" }\n",
" }\n",
" ],\n",
" \"xAxis\": [\n",
" {\n",
" \"nameLocation\": \"middle\",\n",
" \"position\": null,\n",
" \"type\": \"category\",\n",
" \"show\": true,\n",
" \"max\": null,\n",
" \"name\": \"\",\n",
" \"min\": null,\n",
" \"nameGap\": 25,\n",
" \"boundaryGap\": true,\n",
" \"axisTick\": {\n",
" \"alignWithLabel\": false\n",
" },\n",
" \"inverse\": false,\n",
" \"data\": [\n",
" \"A\",\n",
" \"B\",\n",
" \"C\",\n",
" \"D\",\n",
" \"E\",\n",
" \"F\"\n",
" ],\n",
" \"nameTextStyle\": {\n",
" \"fontSize\": 14\n",
" },\n",
" \"axisLabel\": {\n",
" \"margin\": 8,\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"interval\": \"auto\",\n",
" \"rotate\": 0\n",
" }\n",
" }\n",
" ],\n",
" \"toolbox\": {\n",
" \"orient\": \"vertical\",\n",
" \"left\": \"95%\",\n",
" \"top\": \"center\",\n",
" \"show\": true,\n",
" \"feature\": {\n",
" \"dataView\": {\n",
" \"show\": true\n",
" },\n",
" \"saveAsImage\": {\n",
" \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\",\n",
" \"show\": true\n",
" },\n",
" \"restore\": {\n",
" \"show\": true\n",
" }\n",
" }\n",
" },\n",
" \"series_id\": 2508144,\n",
" \"title\": [\n",
" {\n",
" \"text\": \"Line - Bar \\u793a\\u4f8b\",\n",
" \"subtextStyle\": {\n",
" \"color\": \"#aaa\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"left\": \"auto\",\n",
" \"top\": \"auto\",\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 18\n",
" },\n",
" \"subtext\": \"\"\n",
" }\n",
" ],\n",
" \"tooltip\": {\n",
" \"borderWidth\": 0,\n",
" \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
" \"borderColor\": \"#333\",\n",
" \"formatter\": null,\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 14\n",
" },\n",
" \"triggerOn\": \"mousemove|click\",\n",
" \"trigger\": \"item\",\n",
" \"axisPointer\": {\n",
" \"type\": \"line\"\n",
" }\n",
" }\n",
"};\n",
"myChart_522380e31e284c33b64b6eb6fb73beb2.setOption(option_522380e31e284c33b64b6eb6fb73beb2);\n",
"\n",
" });\n",
"</script>\n"
],
"text/plain": [
"<pyecharts.custom.overlap.Overlap at 0x11daaa6a0>"
]
},
"execution_count": 120,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Bar, Line, Overlap\n",
"\n",
"attr = ['A', 'B', 'C', 'D', 'E', 'F']\n",
"v1 = [10, 20, 30, 40, 50, 60]\n",
"v2 = [38, 28, 58, 48, 78, 68]\n",
"bar = Bar(\"Line - Bar 示例\")\n",
"bar.add(\"bar\", attr, v1)\n",
"line = Line()\n",
"line.add(\"line\", attr, v2)\n",
"\n",
"overlap = Overlap()\n",
"overlap.add(bar)\n",
"overlap.add(line)\n",
"\n",
"overlap"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Page"
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"from pyecharts import Page, Scatter, EffectScatter\n",
"page = Page()\n",
"v1 = [10, 20, 30, 40, 50, 60]\n",
"v2 = [10, 20, 30, 40, 50, 60]\n",
"scatter = Scatter(\"散点图示例\")\n",
"scatter.add(\"A\", v1, v2)\n",
"scatter.add(\"B\", v1[::-1], v2)\n",
"\n",
"page.add(scatter)\n",
"\n",
"es = EffectScatter(\"动态散点图示例\", title_top=\"50%\")\n",
"es.add(\"es\", [11, 11, 15, 13, 12, 13, 10], [1, -2, 2, 5, 3, 2, 0], effect_scale=6,\n",
" legend_top=\"50%\", legend_pos=\"20%\")\n",
"page.add(es)"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"text/html": [
"<script>\n",
" require.config({\n",
" paths: {\n",
" 'echarts': '/nbextensions/echarts/echarts.min'\n",
" }\n",
" });\n",
"</script>\n",
" <div id=\"2d999879ab624a5cb551a29f8c388224\" style=\"width:800px;height:400px;\"></div>\n",
" <div id=\"9a3c907996744ba5b11e66ceaa8c9282\" style=\"width:800px;height:400px;\"></div>\n",
"\n",
"\n",
"<script>\n",
" require(['echarts'], function(echarts) {\n",
" \n",
"var myChart_2d999879ab624a5cb551a29f8c388224 = echarts.init(document.getElementById('2d999879ab624a5cb551a29f8c388224'), null, {renderer: 'canvas'});\n",
"var option_2d999879ab624a5cb551a29f8c388224 = {\n",
" \"series\": [\n",
" {\n",
" \"seriesId\": 341224,\n",
" \"data\": [\n",
" [\n",
" 10,\n",
" 10\n",
" ],\n",
" [\n",
" 20,\n",
" 20\n",
" ],\n",
" [\n",
" 30,\n",
" 30\n",
" ],\n",
" [\n",
" 40,\n",
" 40\n",
" ],\n",
" [\n",
" 50,\n",
" 50\n",
" ],\n",
" [\n",
" 60,\n",
" 60\n",
" ]\n",
" ],\n",
" \"markPoint\": {\n",
" \"data\": []\n",
" },\n",
" \"symbol\": \"circle\",\n",
" \"type\": \"scatter\",\n",
" \"symbolSize\": 10,\n",
" \"name\": \"A\",\n",
" \"label\": {\n",
" \"normal\": {\n",
" \"formatter\": null,\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"position\": \"top\",\n",
" \"show\": false\n",
" },\n",
" \"emphasis\": {\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"position\": null,\n",
" \"show\": true\n",
" }\n",
" },\n",
" \"markLine\": {\n",
" \"data\": []\n",
" }\n",
" },\n",
" {\n",
" \"seriesId\": 341224,\n",
" \"data\": [\n",
" [\n",
" 60,\n",
" 10\n",
" ],\n",
" [\n",
" 50,\n",
" 20\n",
" ],\n",
" [\n",
" 40,\n",
" 30\n",
" ],\n",
" [\n",
" 30,\n",
" 40\n",
" ],\n",
" [\n",
" 20,\n",
" 50\n",
" ],\n",
" [\n",
" 10,\n",
" 60\n",
" ]\n",
" ],\n",
" \"markPoint\": {\n",
" \"data\": []\n",
" },\n",
" \"symbol\": \"circle\",\n",
" \"type\": \"scatter\",\n",
" \"symbolSize\": 10,\n",
" \"name\": \"B\",\n",
" \"label\": {\n",
" \"normal\": {\n",
" \"formatter\": null,\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"position\": \"top\",\n",
" \"show\": false\n",
" },\n",
" \"emphasis\": {\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"position\": null,\n",
" \"show\": true\n",
" }\n",
" },\n",
" \"markLine\": {\n",
" \"data\": []\n",
" }\n",
" }\n",
" ],\n",
" \"legend\": [\n",
" {\n",
" \"selectedMode\": \"multiple\",\n",
" \"data\": [\n",
" \"A\",\n",
" \"B\"\n",
" ],\n",
" \"left\": \"center\",\n",
" \"top\": \"top\",\n",
" \"textStyle\": {\n",
" \"color\": \"#333\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"show\": true,\n",
" \"orient\": \"horizontal\"\n",
" }\n",
" ],\n",
" \"color\": [\n",
" \"#c23531\",\n",
" \"#2f4554\",\n",
" \"#61a0a8\",\n",
" \"#d48265\",\n",
" \"#749f83\",\n",
" \"#ca8622\",\n",
" \"#bda29a\",\n",
" \"#6e7074\",\n",
" \"#546570\",\n",
" \"#c4ccd3\",\n",
" \"#f05b72\",\n",
" \"#ef5b9c\",\n",
" \"#f47920\",\n",
" \"#905a3d\",\n",
" \"#fab27b\",\n",
" \"#2a5caa\",\n",
" \"#444693\",\n",
" \"#726930\",\n",
" \"#b2d235\",\n",
" \"#6d8346\",\n",
" \"#ac6767\",\n",
" \"#1d953f\",\n",
" \"#6950a1\",\n",
" \"#918597\",\n",
" \"#f6f5ec\"\n",
" ],\n",
" \"title\": [\n",
" {\n",
" \"text\": \"\\u6563\\u70b9\\u56fe\\u793a\\u4f8b\",\n",
" \"subtextStyle\": {\n",
" \"color\": \"#aaa\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"left\": \"auto\",\n",
" \"top\": \"auto\",\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 18\n",
" },\n",
" \"subtext\": \"\"\n",
" }\n",
" ],\n",
" \"backgroundColor\": \"#fff\",\n",
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" \"rotate\": 0\n",
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" \"xAxis\": [\n",
" {\n",
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" \"axisTick\": {\n",
" \"alignWithLabel\": false\n",
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" \"position\": null,\n",
" \"type\": \"value\",\n",
" \"max\": null,\n",
" \"name\": \"\",\n",
" \"min\": null,\n",
" \"nameGap\": 25,\n",
" \"boundaryGap\": true,\n",
" \"show\": true,\n",
" \"inverse\": false,\n",
" \"data\": null,\n",
" \"nameTextStyle\": {\n",
" \"fontSize\": 14\n",
" },\n",
" \"axisLabel\": {\n",
" \"margin\": 8,\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
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" \"interval\": \"auto\",\n",
" \"rotate\": 0\n",
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" ],\n",
" \"toolbox\": {\n",
" \"feature\": {\n",
" \"dataView\": {\n",
" \"show\": true\n",
" },\n",
" \"saveAsImage\": {\n",
" \"title\": \"\\u4e0b\\u8f7d\\u56fe\\u7247\",\n",
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" \"fontSize\": 12\n",
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" \"subtext\": \"\"\n",
" }\n",
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" \"tooltip\": {\n",
" \"borderWidth\": 0,\n",
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" \"triggerOn\": \"mousemove|click\",\n",
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" }\n",
" }\n",
"};\n",
"myChart_9a3c907996744ba5b11e66ceaa8c9282.setOption(option_9a3c907996744ba5b11e66ceaa8c9282);\n",
"\n",
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],
"text/plain": [
"[<pyecharts.charts.scatter.Scatter at 0x11da80240>,\n",
" <pyecharts.charts.effectscatter.EffectScatter at 0x11da80748>]"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"page"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Timeline"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"from pyecharts import Bar, Timeline\n",
"\n",
"from random import randint\n",
"\n",
"attr = [\"衬衫\", \"羊毛衫\", \"雪纺衫\", \"裤子\", \"高跟鞋\", \"袜子\"]\n",
"bar_1 = Bar(\"2012 年销量\", \"数据纯属虚构\")\n",
"bar_1.add(\"春季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_1.add(\"夏季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_1.add(\"秋季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_1.add(\"冬季\", attr, [randint(10, 100) for _ in range(6)])\n"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"bar_2 = Bar(\"2013 年销量\", \"数据纯属虚构\")\n",
"bar_2.add(\"春季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_2.add(\"夏季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_2.add(\"秋季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_2.add(\"冬季\", attr, [randint(10, 100) for _ in range(6)])\n",
"\n",
"bar_3 = Bar(\"2014 年销量\", \"数据纯属虚构\")\n",
"bar_3.add(\"春季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_3.add(\"夏季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_3.add(\"秋季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_3.add(\"冬季\", attr, [randint(10, 100) for _ in range(6)])"
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [],
"source": [
"bar_4 = Bar(\"2015 年销量\", \"数据纯属虚构\")\n",
"bar_4.add(\"春季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_4.add(\"夏季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_4.add(\"秋季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_4.add(\"冬季\", attr, [randint(10, 100) for _ in range(6)])\n",
"\n",
"bar_5 = Bar(\"2016 年销量\", \"数据纯属虚构\")\n",
"bar_5.add(\"春季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_5.add(\"夏季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_5.add(\"秋季\", attr, [randint(10, 100) for _ in range(6)])\n",
"bar_5.add(\"冬季\", attr, [randint(10, 100) for _ in range(6)], is_legend_show=True)\n"
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
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" },\n",
" \"left\": \"auto\",\n",
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" \"color\": \"#000\",\n",
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" \"\\u6625\\u5b63\",\n",
" \"\\u590f\\u5b63\",\n",
" \"\\u79cb\\u5b63\",\n",
" \"\\u51ac\\u5b63\"\n",
" ],\n",
" \"left\": \"center\",\n",
" \"top\": \"top\",\n",
" \"textStyle\": {\n",
" \"color\": \"#333\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"show\": true,\n",
" \"orient\": \"horizontal\"\n",
" }\n",
" ],\n",
" \"title\": [\n",
" {\n",
" \"text\": \"2016 \\u5e74\\u9500\\u91cf\",\n",
" \"subtextStyle\": {\n",
" \"color\": \"#aaa\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"left\": \"auto\",\n",
" \"top\": \"auto\",\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 18\n",
" },\n",
" \"subtext\": \"\\u6570\\u636e\\u7eaf\\u5c5e\\u865a\\u6784\"\n",
" }\n",
" ],\n",
" \"tooltip\": {\n",
" \"borderWidth\": 0,\n",
" \"textStyle\": {\n",
" \"color\": \"#fff\",\n",
" \"fontSize\": 14\n",
" },\n",
" \"formatter\": null,\n",
" \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
" \"borderColor\": \"#333\",\n",
" \"triggerOn\": \"mousemove|click\",\n",
" \"trigger\": \"item\",\n",
" \"axisPointer\": {\n",
" \"type\": \"line\"\n",
" }\n",
" }\n",
" }\n",
" ]\n",
"};\n",
"myChart_6597b138045a4ff491c38698392d0bb9.setOption(option_6597b138045a4ff491c38698392d0bb9);\n",
"\n",
" });\n",
"</script>\n"
],
"text/plain": [
"<pyecharts.custom.timeline.Timeline at 0x11da15550>"
]
},
"execution_count": 128,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"\n",
"timeline = Timeline(is_auto_play=True, timeline_bottom=0)\n",
"timeline.add(bar_1, '2012 年')\n",
"timeline.add(bar_2, '2013 年')\n",
"timeline.add(bar_3, '2014 年')\n",
"timeline.add(bar_4, '2015 年')\n",
"timeline.add(bar_5, '2016 年')\n",
"\n",
"timeline"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# More \n",
"https://github.com/pyecharts/pyecharts/tree/master/test"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"ExecuteTime": {
"end_time": "2018-05-06T07:06:18.250815Z",
"start_time": "2018-05-06T07:06:18.200263Z"
},
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
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"</script>\n",
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"\n",
"\n",
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" \"axisPointer\": {\n",
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" \"SY\",\n",
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" \"series\": [\n",
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" ],\n",
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" ],\n",
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" \"DQ\"\n",
" ],\n",
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" 35,\n",
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" \"TY\"\n",
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" 37,\n",
" \"TY\"\n",
" ],\n",
" [\n",
" \"2015/11/11\",\n",
" 22,\n",
" \"TY\"\n",
" ],\n",
" [\n",
" \"2015/11/12\",\n",
" 24,\n",
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" ],\n",
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" \"TY\"\n",
" ],\n",
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" \"2015/11/14\",\n",
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" ],\n",
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" \"2015/11/15\",\n",
" 21,\n",
" \"TY\"\n",
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" 18,\n",
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" 26,\n",
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" 15,\n",
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" ],\n",
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" \"2015/11/26\",\n",
" 35,\n",
" \"TY\"\n",
" ],\n",
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" \"2015/11/27\",\n",
" 42,\n",
" \"TY\"\n",
" ],\n",
" [\n",
" \"2015/11/28\",\n",
" 42,\n",
" \"TY\"\n",
" ],\n",
" [\n",
" \"2015/11/08\",\n",
" 21,\n",
" \"SS\"\n",
" ],\n",
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" \"2015/11/09\",\n",
" 25,\n",
" \"SS\"\n",
" ],\n",
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" \"2015/11/10\",\n",
" 27,\n",
" \"SS\"\n",
" ],\n",
" [\n",
" \"2015/11/11\",\n",
" 23,\n",
" \"SS\"\n",
" ],\n",
" [\n",
" \"2015/11/12\",\n",
" 24,\n",
" \"SS\"\n",
" ],\n",
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" \"2015/11/13\",\n",
" 21,\n",
" \"SS\"\n",
" ],\n",
" [\n",
" \"2015/11/14\",\n",
" 35,\n",
" \"SS\"\n",
" ],\n",
" [\n",
" \"2015/11/15\",\n",
" 39,\n",
" \"SS\"\n",
" ]\n",
" ],\n",
" \"name\": [\n",
" \"DQ\",\n",
" \"TY\",\n",
" \"SS\",\n",
" \"QG\",\n",
" \"SY\",\n",
" \"DD\"\n",
" ],\n",
" \"label\": {\n",
" \"emphasis\": {\n",
" \"position\": null,\n",
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" \"color\": \"#fff\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"show\": true\n",
" },\n",
" \"normal\": {\n",
" \"position\": \"top\",\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"show\": true,\n",
" \"formatter\": null\n",
" }\n",
" },\n",
" \"type\": \"themeRiver\"\n",
" }\n",
" ],\n",
" \"title\": [\n",
" {\n",
" \"subtext\": \"\",\n",
" \"textStyle\": {\n",
" \"color\": \"#000\",\n",
" \"fontSize\": 18\n",
" },\n",
" \"subtextStyle\": {\n",
" \"color\": \"#aaa\",\n",
" \"fontSize\": 12\n",
" },\n",
" \"top\": \"auto\",\n",
" \"left\": \"auto\",\n",
" \"text\": \"\\u4e3b\\u9898\\u6cb3\\u6d41\\u56fe\\u793a\\u4f8b\\u56fe\"\n",
" }\n",
" ]\n",
"};\n",
"myChart_848b9d701f75406daf46752f1e104482.setOption(option_848b9d701f75406daf46752f1e104482);\n",
"\n",
" });\n",
"</script>\n"
],
"text/plain": [
"<pyecharts.charts.themeriver.ThemeRiver at 0x1109f7128>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import ThemeRiver\n",
"\n",
"data = [\n",
" ['2015/11/08', 10, 'DQ'], ['2015/11/09', 15, 'DQ'],\n",
" ['2015/11/10', 35, 'DQ'], ['2015/11/14', 7, 'DQ'],\n",
" ['2015/11/15', 2, 'DQ'], ['2015/11/16', 17, 'DQ'],\n",
" ['2015/11/17', 33, 'DQ'], ['2015/11/18', 40, 'DQ'],\n",
" ['2015/11/19', 32, 'DQ'], ['2015/11/20', 26, 'DQ'],\n",
" ['2015/11/21', 35, 'DQ'], ['2015/11/22', 40, 'DQ'],\n",
" ['2015/11/23', 32, 'DQ'], ['2015/11/24', 26, 'DQ'],\n",
" ['2015/11/25', 22, 'DQ'], ['2015/11/08', 35, 'TY'],\n",
" ['2015/11/09', 36, 'TY'], ['2015/11/10', 37, 'TY'],\n",
" ['2015/11/11', 22, 'TY'], ['2015/11/12', 24, 'TY'],\n",
" ['2015/11/13', 26, 'TY'], ['2015/11/14', 34, 'TY'],\n",
" ['2015/11/15', 21, 'TY'], ['2015/11/16', 18, 'TY'],\n",
" ['2015/11/17', 45, 'TY'], ['2015/11/18', 32, 'TY'],\n",
" ['2015/11/19', 35, 'TY'], ['2015/11/20', 30, 'TY'],\n",
" ['2015/11/21', 28, 'TY'], ['2015/11/22', 27, 'TY'],\n",
" ['2015/11/23', 26, 'TY'], ['2015/11/24', 15, 'TY'],\n",
" ['2015/11/25', 30, 'TY'], ['2015/11/26', 35, 'TY'],\n",
" ['2015/11/27', 42, 'TY'], ['2015/11/28', 42, 'TY'],\n",
" ['2015/11/08', 21, 'SS'], ['2015/11/09', 25, 'SS'],\n",
" ['2015/11/10', 27, 'SS'], ['2015/11/11', 23, 'SS'],\n",
" ['2015/11/12', 24, 'SS'], ['2015/11/13', 21, 'SS'],\n",
" ['2015/11/14', 35, 'SS'], ['2015/11/15', 39, 'SS']\n",
"]\n",
"tr = ThemeRiver(\"主题河流图示例图\")\n",
"tr.add(['DQ', 'TY', 'SS', 'QG', 'SY', 'DD'], data, is_label_show=True)\n",
"tr"
]
},
{
"cell_type": "code",
"execution_count": 163,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
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" <div id=\"f77d41c1899341f2891324502cb782c6\" style=\"width:800px;height:400px;\"></div>\n",
"\n",
"\n",
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" \"formatter\": null,\n",
" \"backgroundColor\": \"rgba(50,50,50,0.7)\",\n",
" \"borderColor\": \"#333\",\n",
" \"triggerOn\": \"mousemove|click\",\n",
" \"trigger\": \"item\",\n",
" \"axisPointer\": {\n",
" \"type\": \"line\"\n",
" }\n",
" }\n",
"};\n",
"myChart_f77d41c1899341f2891324502cb782c6.setOption(option_f77d41c1899341f2891324502cb782c6);\n",
"\n",
" });\n",
"</script>\n"
],
"text/plain": [
"<pyecharts.charts.boxplot.Boxplot at 0x1137bb198>"
]
},
"execution_count": 163,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pyecharts import Boxplot\n",
"\n",
"\n",
"boxplot = Boxplot(\"箱形图\")\n",
"x_axis = ['expr1', 'expr2', 'expr3', 'expr4', 'expr5']\n",
"y_axis = [\n",
" [850, 740, 900, 1070, 930, 850, 950, 980, 980, 880,\n",
" 1000, 980, 930, 650, 760, 810, 1000, 1000, 960, 960],\n",
" [960, 940, 960, 940, 880, 800, 850, 880, 900, 840,\n",
" 830, 790, 810, 880, 880, 830, 800, 790, 760, 800],\n",
" [880, 880, 880, 860, 720, 720, 620, 860, 970, 950,\n",
" 880, 910, 850, 870, 840, 840, 850, 840, 840, 840],\n",
" [890, 810, 810, 820, 800, 770, 760, 740, 750, 760,\n",
" 910, 920, 890, 860, 880, 720, 840, 850, 850, 780],\n",
" [890, 840, 780, 810, 760, 810, 790, 810, 820, 850,\n",
" 870, 870, 810, 740, 810, 940, 950, 800, 810, 870]\n",
"]\n",
"_yaxis = boxplot.prepare_data(y_axis)\n",
"boxplot.add(\"boxplot\", x_axis, _yaxis)\n",
"boxplot"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"celltoolbar": "Slideshow",
"kernelspec": {
"display_name": "Python [conda env:anaconda]",
"language": "python",
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"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.4"
},
"latex_envs": {
"LaTeX_envs_menu_present": true,
"autoclose": false,
"autocomplete": true,
"bibliofile": "biblio.bib",
"cite_by": "apalike",
"current_citInitial": 1,
"eqLabelWithNumbers": true,
"eqNumInitial": 1,
"hotkeys": {
"equation": "Ctrl-E",
"itemize": "Ctrl-I"
},
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"user_envs_cfg": false
},
"toc": {
"base_numbering": 1,
"nav_menu": {},
"number_sections": false,
"sideBar": true,
"skip_h1_title": false,
"title_cell": "Table of Contents",
"title_sidebar": "Contents",
"toc_cell": false,
"toc_position": {},
"toc_section_display": true,
"toc_window_display": false
}
},
"nbformat": 4,
"nbformat_minor": 2
}