{
"cells": [
{
"cell_type": "markdown",
"id": "26508211",
"metadata": {},
"source": [
"# Stat `na_rm` Checks\n",
"\n",
"Small examples for checking `na_rm` handling in selected stats."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "cdcd2d5d",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" \n",
" "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"from lets_plot import *\n",
"\n",
"LetsPlot.setup_html()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "3fa7f86e",
"metadata": {},
"outputs": [],
"source": [
"df_x = pd.DataFrame({\n",
" \"x\": [1, 2, np.nan, 4, 5, np.nan]\n",
"})\n",
"\n",
"df_xy = pd.DataFrame({\n",
" \"x\": [1, 2, np.nan, 4, 5, np.nan],\n",
" \"y\": [2, np.nan, 3, 4, 5, np.nan],\n",
" \"g\": [\"A\", \"A\", \"A\", \"B\", \"B\", \"B\"]\n",
"})"
]
},
{
"cell_type": "markdown",
"id": "28a9298e",
"metadata": {},
"source": [
"## `stat_summary`"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "229f5e9a",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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