{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Histograms\n",
"\n",
"Documentation: \n",
"https://plotly.com/python/histograms/ \n",
"https://plotly.com/python-api-reference/generated/plotly.express.histogram.html"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import plotly.express as px"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Continuous x axis"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
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"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" total_bill | \n",
" tip | \n",
" sex | \n",
" smoker | \n",
" day | \n",
" time | \n",
" size | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 16.99 | \n",
" 1.01 | \n",
" Female | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 2 | \n",
"
\n",
" \n",
" 1 | \n",
" 10.34 | \n",
" 1.66 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 3 | \n",
"
\n",
" \n",
" 2 | \n",
" 21.01 | \n",
" 3.50 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 3 | \n",
"
\n",
" \n",
" 3 | \n",
" 23.68 | \n",
" 3.31 | \n",
" Male | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 2 | \n",
"
\n",
" \n",
" 4 | \n",
" 24.59 | \n",
" 3.61 | \n",
" Female | \n",
" No | \n",
" Sun | \n",
" Dinner | \n",
" 4 | \n",
"
\n",
" \n",
"
\n",
"
"
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"text/plain": [
" total_bill tip sex smoker day time size\n",
"0 16.99 1.01 Female No Sun Dinner 2\n",
"1 10.34 1.66 Male No Sun Dinner 3\n",
"2 21.01 3.50 Male No Sun Dinner 3\n",
"3 23.68 3.31 Male No Sun Dinner 2\n",
"4 24.59 3.61 Female No Sun Dinner 4"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tips_df = px.data.tips()\n",
"tips_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
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"ticks": "",
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"\tdata_frame=tips_df,\n",
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")\n",
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]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Categorical x axis"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
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"Dinner",
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"source": [
"tips_fig = px.histogram(\n",
"\tdata_frame=tips_df,\n",
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"\t\t'time': ['Lunch', 'Dinner'],\n",
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]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Column segments"
]
},
{
"cell_type": "code",
"execution_count": 6,
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],
"source": [
"tips_fig = px.histogram(\n",
"\tdata_frame=tips_df,\n",
"\tx='time',\n",
"\tcategory_orders={\n",
"\t\t'time': ['Lunch', 'Dinner'],\n",
"\t},\n",
"\tcolor='smoker',\n",
")\n",
"tips_fig"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Styling of histograms"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"See here for color names: \n",
"https://www.w3.org/TR/css-color-3/#svg-color"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
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"source": [
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"\n",
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\n",
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" gender | \n",
" group | \n",
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\n",
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" \n",
" \n",
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\n",
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