{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
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"shell.execute_reply": "2026-01-27T17:06:21.419894Z"
}
},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"from lets_plot import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"execution": {
"iopub.execute_input": "2026-01-27T17:06:21.421164Z",
"iopub.status.busy": "2026-01-27T17:06:21.421088Z",
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"shell.execute_reply": "2026-01-27T17:06:21.422770Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"execution": {
"iopub.execute_input": "2026-01-27T17:06:21.438040Z",
"iopub.status.busy": "2026-01-27T17:06:21.437958Z",
"iopub.status.idle": "2026-01-27T17:06:21.439581Z",
"shell.execute_reply": "2026-01-27T17:06:21.439309Z"
}
},
"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": 4,
"metadata": {
"execution": {
"iopub.execute_input": "2026-01-27T17:06:21.440559Z",
"iopub.status.busy": "2026-01-27T17:06:21.440485Z",
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"shell.execute_reply": "2026-01-27T17:06:21.492722Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 4,
"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": 5,
"metadata": {
"execution": {
"iopub.execute_input": "2026-01-27T17:06:21.494248Z",
"iopub.status.busy": "2026-01-27T17:06:21.494164Z",
"iopub.status.idle": "2026-01-27T17:06:21.497170Z",
"shell.execute_reply": "2026-01-27T17:06:21.496877Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"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": 6,
"metadata": {
"execution": {
"iopub.execute_input": "2026-01-27T17:06:21.498091Z",
"iopub.status.busy": "2026-01-27T17:06:21.498018Z",
"iopub.status.idle": "2026-01-27T17:06:21.500922Z",
"shell.execute_reply": "2026-01-27T17:06:21.500635Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 6,
"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": 7,
"metadata": {
"execution": {
"iopub.execute_input": "2026-01-27T17:06:21.501669Z",
"iopub.status.busy": "2026-01-27T17:06:21.501598Z",
"iopub.status.idle": "2026-01-27T17:06:21.504765Z",
"shell.execute_reply": "2026-01-27T17:06:21.504484Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 7,
"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": 8,
"metadata": {
"execution": {
"iopub.execute_input": "2026-01-27T17:06:21.505531Z",
"iopub.status.busy": "2026-01-27T17:06:21.505454Z",
"iopub.status.idle": "2026-01-27T17:06:21.508471Z",
"shell.execute_reply": "2026-01-27T17:06:21.508191Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 8,
"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": 9,
"metadata": {
"execution": {
"iopub.execute_input": "2026-01-27T17:06:21.509152Z",
"iopub.status.busy": "2026-01-27T17:06:21.509080Z",
"iopub.status.idle": "2026-01-27T17:06:21.512327Z",
"shell.execute_reply": "2026-01-27T17:06:21.512045Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 9,
"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": 10,
"metadata": {
"execution": {
"iopub.execute_input": "2026-01-27T17:06:21.512995Z",
"iopub.status.busy": "2026-01-27T17:06:21.512925Z",
"iopub.status.idle": "2026-01-27T17:06:21.516019Z",
"shell.execute_reply": "2026-01-27T17:06:21.515703Z"
}
},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 10,
"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": 4
}