{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import xlrd\n",
"from plotly.graph_objs import Scatter, layout\n",
"import plotly\n",
"import plotly.offline as py\n",
"import plotly.graph_objs as go\n",
"import cufflinks as cf\n",
"from urllib.request import urlopen\n",
"import json\n",
"import re\n",
"cf.go_offline()###这两句是离线生成图片的设置\n",
"cf.set_config_file(offline=True, world_readable=True)\n",
"plotly.offline.init_notebook_mode(connected=True)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"alignmentgroup": "True",
"bingroup": "x",
"histfunc": "sum",
"hovertemplate": "smoker=No
sex=%{x}
sum of total_bill=%{y}
sex=%{x}
sum of total_bill=%{y}