{
"cells": [
{
"cell_type": "markdown",
"id": "656e7b52",
"metadata": {},
"source": [
"# Option to show/hide plot messages\n",
"\n",
"The option `plot_message` allows to hide messages produced by sampling."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "2eb0f327",
"metadata": {},
"outputs": [],
"source": [
"from lets_plot import *"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "cedf8b23-85e1-439e-8ba4-9587c7d2008e",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "1fc369a0-1d09-444c-bfa9-441258666ede",
"metadata": {},
"outputs": [],
"source": [
"d = { \n",
" 'x': [it for it in range(100)] \n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "fc5e08e6-227d-442d-bcf1-a09d84c14e67",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p = ggplot(d) + geom_point(aes(x='x'), sampling=sampling_random(n=10))\n",
"p"
]
},
{
"cell_type": "markdown",
"id": "707fec5f-4e3c-4cd4-becc-aa123d66029b",
"metadata": {},
"source": [
"### Using the `plot_message` parameter"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "2a0e59d1",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p + theme(plot_message='blank')"
]
},
{
"cell_type": "markdown",
"id": "7935ee20",
"metadata": {},
"source": [
"### Hiding plot messages for the whole notebook\n",
"\n",
"Using the `LestPlot.set_theme(...)` function messages can be suppressed for the whole notebook."
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "b76694b7",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
" \n",
" "
],
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"LetsPlot.set_theme(theme(plot_message='blank'))\n",
"ggplot(d) + geom_point(aes(x='x'), sampling=sampling_random(n=10))"
]
}
],
"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": "3.10.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}