{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Enrichment Plot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A function to plot step plots of cumulative counts."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"> from mlxtend.general_plotting import category_scatter"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Overview"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In enrichment plots, the y-axis can be interpreted as \"how many samples are less or equal to the corresponding x-axis label.\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### References\n",
"\n",
"- -"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example 1 - Enrichment Plots from Pandas DataFrames"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
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