{
"cells": [
{
"cell_type": "markdown",
"id": "b7de4c22-d9d7-426e-9d27-bafa5ba12741",
"metadata": {},
"source": [
"# HCL color model.\n",
"\n",
"Lets-Plot now uses the `HCL` color model instead of `HLV`. This change affects hue scale and gradient scales (both color and greyscale).\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "437cbe49-4f7b-413a-82ed-9c5db230bf24",
"metadata": {},
"outputs": [],
"source": [
"from lets_plot import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "fd1026f5-35e9-4465-a723-1861118f838e",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "d05a6fe6-b4bb-48f0-aa19-ca222a135a2b",
"metadata": {},
"outputs": [],
"source": [
"data = { 'x': ['A', 'B', 'C', 'D', 'E', 'F'] }\n",
"p = ggplot(data) \\\n",
" + geom_boxplot(aes(x='x', fill='x'), stat='identity', lower=25, middle=50, upper=75, ymin=0, ymax=100)"
]
},
{
"cell_type": "markdown",
"id": "cf5b6cc0-76e3-42e6-973a-86cea6e76aa2",
"metadata": {},
"source": [
"Palette for discrete data:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "da72d537-6d52-4a2c-94a0-0679e3a54b44",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p + scale_fill_hue()"
]
},
{
"cell_type": "markdown",
"id": "b34f1a5c-7a71-405e-91a4-fd9543ce8801",
"metadata": {},
"source": [
"Hue gradient:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "dcdd08ed-d31e-4b45-a365-42be3aed321e",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = {\n",
" 'x': list(range(256))\n",
"}\n",
"\n",
"ggplot(data) \\\n",
" + geom_tile(aes(x='x', fill='x', color='x'), size=1) \\\n",
" + scale_fill_hue() \\\n",
" + scale_color_hue() \\\n",
" + coord_cartesian() \\\n",
" + ggsize(800, 200)"
]
},
{
"cell_type": "markdown",
"id": "cd5dbc51-42fe-484e-b9e8-11607ce4d68f",
"metadata": {},
"source": [
"Gradient:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "b1cb4d66-9f3a-4a0b-91b1-e680cb7f9acf",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = { \n",
" 'x': list(range(256)) \n",
"}\n",
"\n",
"ggplot(df) \\\n",
" + geom_tile(aes(x='x', fill='x', color='x'), size=1) \\\n",
" + scale_fill_gradient(low=\"#00FF00\", high=\"#FF0000\") \\\n",
" + scale_color_gradient(low=\"#00FF00\", high=\"#FF0000\") \\\n",
" + coord_cartesian() \\\n",
" + ggsize(800, 200)\n"
]
},
{
"cell_type": "markdown",
"id": "39b53593-111a-4c12-9d42-1f1c08f9327a",
"metadata": {},
"source": [
"Gradientn"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "88713594-531a-4c87-ae4c-a1182bf94182",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = { \n",
" 'x': list(range(256)) \n",
"}\n",
"\n",
"ggplot(df) \\\n",
" + geom_tile(aes(x='x', fill='x', color='x'), size=1) \\\n",
" + scale_fill_gradientn(colors=[\"#00FF00\", \"#FF0000\", \"#0000FF\"]) \\\n",
" + scale_color_gradientn(colors=[\"#00FF00\", \"#FF0000\", \"#0000FF\"]) \\\n",
" + coord_cartesian() \\\n",
" + ggsize(800, 200)"
]
},
{
"cell_type": "markdown",
"id": "62174e32-01e6-4142-87d6-7da5b4b47a0a",
"metadata": {},
"source": [
"Greyscale gradient:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "03f1a44c-b903-4268-98e6-ce33a623c584",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = { \n",
" 'x': list(range(256)) \n",
"}\n",
"\n",
"ggplot(df) \\\n",
" + geom_tile(aes(x='x', fill='x', color='x'), size=1) \\\n",
" + scale_color_grey(start=0.1, end=0.9) \\\n",
" + scale_fill_grey(start=0.1, end=0.9) \\\n",
" + coord_cartesian() \\\n",
" + ggsize(800, 200)"
]
},
{
"cell_type": "markdown",
"id": "50184eff-508c-4938-8465-95aff147aafc",
"metadata": {},
"source": [
"Viridis"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "7cdf1c36-a3f5-4d9b-95f1-4b385bfe0aa5",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = { \n",
" 'x': list(range(256)) \n",
"}\n",
"\n",
"ggplot(df) \\\n",
" + geom_tile(aes(x='x', fill='x', color='x'), size=1) \\\n",
" + scale_fill_viridis() \\\n",
" + scale_color_viridis() \\\n",
" + coord_cartesian() \\\n",
" + ggsize(800, 200)"
]
},
{
"cell_type": "markdown",
"id": "17f0548a-ae3d-4e41-a811-449367c245f0",
"metadata": {},
"source": [
"Parameter `h_start` now works with descrete data:"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "37e65f9b-7c07-450e-82f2-354ee43ffc77",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p + scale_fill_hue(h_start=180)"
]
},
{
"cell_type": "markdown",
"id": "8ef1e8c8-460f-420c-9b43-6673d3e4964c",
"metadata": {},
"source": [
"Parameter `l` now correctly controls lightness:"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "ace5f30e-dd7f-4bdc-b962-45867921d751",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p + scale_fill_hue(c=95, l=75) + ggtitle('scale_fill_hue(c=95, l=75)')"
]
},
{
"cell_type": "markdown",
"id": "296617b4-8403-4e7b-8678-3b1ade222ec5",
"metadata": {},
"source": [
"# SANDBOX"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "2c86ceb4-4744-43db-997d-3cb6e0d1e0a7",
"metadata": {},
"outputs": [],
"source": [
"def dump_spec(plot, display=None):\n",
" import json\n",
"\n",
" try:\n",
" import clipboard\n",
" except:\n",
" clipboard = None\n",
" \n",
" from lets_plot._type_utils import standardize_dict\n",
" \n",
" plot_dict = standardize_dict(plot.as_dict())\n",
" plot_json = json.dumps(plot_dict, indent=2)\n",
" \n",
" if clipboard:\n",
" clipboard.copy('')\n",
" clipboard.copy(str(plot_json))\n",
" else:\n",
" if display is None:\n",
" display = True\n",
" \n",
" if display:\n",
" print(plot_json)\n",
"\n",
" return plot"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "71769866-ca0a-4e2d-a6d7-dd32168c53bd",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = {\n",
" 'x': list(range(60))\n",
"}\n",
"\n",
"dump_spec(ggplot(data) \\\n",
" + geom_tile(aes(x='x', fill='x', color='x'), size=1) \\\n",
" + scale_fill_hue() \\\n",
" + scale_color_hue() \\\n",
" + coord_cartesian() \\\n",
" + ggsize(600, 200))"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "fc3e3839-151d-434d-a6ca-fe651db75d85",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dump_spec(ggplot(data) \\\n",
" + geom_tile(aes(x='x', fill='x', color='x'), size=1) \\\n",
" + scale_fill_grey() \\\n",
" + scale_color_grey() \\\n",
" + coord_cartesian() \\\n",
" + ggsize(600, 200))"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "10a82931-757f-4fc4-a0a9-8d6c4fe48866",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = { 'x': list(range(59)) }\n",
"dump_spec(\n",
" ggplot(df) \\\n",
" + geom_tile(aes(x='x', fill='x', color='x'), size=1, height=40) \\\n",
" + scale_fill_gradient(low=\"#00FF00\", high=\"#FF0000\") \\\n",
" + scale_color_gradient(low=\"#00FF00\", high=\"#FF0000\")\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "cc27b75d-9c0d-43fe-b726-22ffe748a73f",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ggplot(df) + geom_tile(aes(x='x', fill='x'), height=40) + scale_fill_gradient(low = \"yellow\", high = \"red\")"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "412cfae1-ead8-4ad2-b3db-4aa441182386",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dump_spec(p + scale_fill_hue(h = [15, 375], c = 100, l = 100))"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "9020db19-8be9-4c7d-8b2e-0eceef111bc2",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = { \n",
" 'x': list(range(256)) \n",
"}\n",
"\n",
"ggplot(df) \\\n",
" + geom_tile(aes(x='x', fill='x', color='x'), size=1) \\\n",
" + scale_fill_viridis() \\\n",
" + scale_color_viridis() \\\n",
" + coord_cartesian() \\\n",
" + ggsize(800, 400)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "1c0a2fe3-65da-4a14-b720-8f3ea900b30f",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ggplot(df) \\\n",
" + geom_tile(aes(x='x', fill='x', color='x'), size=1) \\\n",
" + scale_fill_viridis() \\\n",
" + scale_color_viridis(option='A') \\\n",
" + coord_cartesian() \\\n",
" + ggsize(800, 400)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "945a81f1-1a8c-418e-9a3c-f36ee84c7a40",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.15"
}
},
"nbformat": 4,
"nbformat_minor": 5
}