{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
"iopub.execute_input": "2024-04-26T11:56:36.233138Z",
"iopub.status.busy": "2024-04-26T11:56:36.233138Z",
"iopub.status.idle": "2024-04-26T11:56:37.199308Z",
"shell.execute_reply": "2024-04-26T11:56:37.199308Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"\n",
"from lets_plot import *\n",
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"execution": {
"iopub.execute_input": "2024-04-26T11:56:37.215066Z",
"iopub.status.busy": "2024-04-26T11:56:37.215066Z",
"iopub.status.idle": "2024-04-26T11:56:37.246373Z",
"shell.execute_reply": "2024-04-26T11:56:37.246373Z"
}
},
"outputs": [],
"source": [
"df = {'cond': ['A', 'A', 'B', 'B', 'C', 'C'], \\\n",
" 'x': [2, 3, 2, 3, 2, 3], \\\n",
" 'y': [1.0, 1.5, 2.0, 1.0, 1.6, 1.8]}"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"execution": {
"iopub.execute_input": "2024-04-26T11:56:37.246373Z",
"iopub.status.busy": "2024-04-26T11:56:37.246373Z",
"iopub.status.idle": "2024-04-26T11:56:37.356963Z",
"shell.execute_reply": "2024-04-26T11:56:37.356963Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Let's plot default lines and points\n",
"ggplot(df) + geom_line(aes(x='x', y='y', group='cond')) + \\\n",
" geom_point(aes(x='x', y='y'))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"execution": {
"iopub.execute_input": "2024-04-26T11:56:37.356963Z",
"iopub.status.busy": "2024-04-26T11:56:37.356963Z",
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"shell.execute_reply": "2024-04-26T11:56:37.372675Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Let's set dotted thicker line and hollow large squares\n",
"ggplot(df) + geom_line(aes(x='x', y='y', group='cond'), linetype='dotted', size = 1.5) + \\\n",
" geom_point(aes(x='x', y='y'), shape = 0, size = 4)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"execution": {
"iopub.execute_input": "2024-04-26T11:56:37.375943Z",
"iopub.status.busy": "2024-04-26T11:56:37.375943Z",
"iopub.status.idle": "2024-04-26T11:56:37.388657Z",
"shell.execute_reply": "2024-04-26T11:56:37.388657Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# We can make line type and shape of points depend on variable\n",
"ggplot(df) + geom_line(aes(x='x', y='y', group='cond', linetype='cond')) + \\\n",
" geom_point(aes(x='x', y='y', shape='cond'), size=4)\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"execution": {
"iopub.execute_input": "2024-04-26T11:56:37.388657Z",
"iopub.status.busy": "2024-04-26T11:56:37.388657Z",
"iopub.status.idle": "2024-04-26T11:56:37.404530Z",
"shell.execute_reply": "2024-04-26T11:56:37.404530Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# The same but with hollow shapes\n",
"ggplot(df, aes(x='x', y='y', group='cond')) + \\\n",
" geom_line(aes(linetype='cond')) + \\\n",
" geom_point(aes(shape='cond'), size=4) + scale_shape(solid=False)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"execution": {
"iopub.execute_input": "2024-04-26T11:56:37.404530Z",
"iopub.status.busy": "2024-04-26T11:56:37.404530Z",
"iopub.status.idle": "2024-04-26T11:56:37.420376Z",
"shell.execute_reply": "2024-04-26T11:56:37.420376Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Let's manually change the specific linetypes and shapes that are used\n",
"ggplot(df) + geom_line(aes(x='x', y='y', group='cond', linetype='cond')) + \\\n",
" geom_point(aes(x='x', y='y', shape='cond'), size=4) + \\\n",
" scale_linetype_manual(values=('dotdash', 'dotted', 'dashed')) + \\\n",
" scale_shape_manual(values=(6, 7, 8))"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"execution": {
"iopub.execute_input": "2024-04-26T11:56:37.420376Z",
"iopub.status.busy": "2024-04-26T11:56:37.420376Z",
"iopub.status.idle": "2024-04-26T11:56:37.436923Z",
"shell.execute_reply": "2024-04-26T11:56:37.435949Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Let's set gray lines and shapes with green fill\n",
"ggplot(df, aes(x='x', y='y', group='cond')) + \\\n",
" geom_line(aes(linetype='cond'), size=1.5, color='gray') + \\\n",
" geom_point(aes(shape='cond'), fill='dark_green', color='gray', size=6) + \\\n",
" scale_shape_manual(values=(21,22,24)) # Shapes: Filled circle, square, triangle"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"execution": {
"iopub.execute_input": "2024-04-26T11:56:37.436923Z",
"iopub.status.busy": "2024-04-26T11:56:37.436923Z",
"iopub.status.idle": "2024-04-26T11:56:37.452099Z",
"shell.execute_reply": "2024-04-26T11:56:37.452099Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# We can also add alpha channel(transparency)\n",
"ggplot(df, aes(x='x', y='y', group='cond')) + \\\n",
" geom_line(aes(linetype='cond'), size = 1.5, color='gray', alpha=.5) + \\\n",
" geom_point(aes(shape='cond'), fill='dark_green', color='gray', size=6, alpha=.7) + \\\n",
" scale_shape_manual(values=(21,22,24))"
]
}
],
"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": "3.10.13"
}
},
"nbformat": 4,
"nbformat_minor": 1
}