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calilisantos/pyspark_plot.ipynb

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The plot method in Pyspark dataframes
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pyspark_plot.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## **Dependencies**"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {},
"outputs": [],
"source": [
"from pyspark.sql import functions as F, SparkSession # pyspark==4.0.0\n",
"# required: pandas==2.2.3 and plotly>=4.8\n",
"# for render plot in ipykernel: nbformat>=4.2.0"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## **Spark session**"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {},
"outputs": [],
"source": [
"spark = (\n",
" SparkSession.builder\n",
" .master(\"local[*]\")\n",
" .appName(\"pyspark_plot\")\n",
" .getOrCreate()\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## **Sample**"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"+---+--------+-------------------+-------------------+-------------------+\n",
"| id|category| random_value| random_value_two| random_value_three|\n",
"+---+--------+-------------------+-------------------+-------------------+\n",
"| 0| A| 0.0|0.42921980248809466|0.23659933529792898|\n",
"| 1| B| 0.374414785230507| 2.6435261986114273|0.24007668857174058|\n",
"| 2| C| 0.5249154877668918| 4.371938454605184| 0.7833660823995947|\n",
"| 3| A| 2.6152695661182475| 6.76514478631716|0.07936132610510027|\n",
"| 4| B| 0.5412161982309747| 8.668076063857432| 0.940383781791168|\n",
"| 5| C| 0.7664317121912667| 10.034940388262854| 0.8925072781977915|\n",
"| 6| A|0.17327241274168448| 12.534496443243448| 0.3066613970552863|\n",
"| 7| B| 1.7959139963840272| 14.594260362670015|0.18646730014988266|\n",
"| 8| C| 2.7674468136540895| 16.914432235971688|0.06318558529336704|\n",
"| 9| A| 4.832362674889765| 18.108284192579475|0.35303981022497144|\n",
"| 10| B|0.49258563342859274| 20.721090938259543| 0.5953833212133626|\n",
"| 11| C| 0.6722974745305086| 22.403627418968387| 0.0451866358088453|\n",
"| 12| A| 1.894038795178714| 24.147959082627345| 0.8570688669782733|\n",
"| 13| B| 1.108656380822814| 26.52319774626571| 0.6577306371456679|\n",
"| 14| C| 9.564501971325367| 28.759429291993026| 0.7212961741874088|\n",
"| 15| A| 2.141994890043801| 30.728841474724838| 0.6884795990673171|\n",
"| 16| B| 10.564458704993505| 32.14623155816745| 0.4107547724693499|\n",
"| 17| C| 15.191841274537977| 34.803880106709315| 0.5961187521975972|\n",
"| 18| A| 12.906375286163277| 36.15584060590984|0.22998425307924197|\n",
"| 19| B| 18.011377454849644| 38.09944473288908| 0.5934412229787119|\n",
"+---+--------+-------------------+-------------------+-------------------+\n",
"only showing top 20 rows\n"
]
}
],
"source": [
"sample_columns = {\n",
" \"category\": (\n",
" F.when(F.col(\"id\") % 3 == 0, \"A\")\n",
" .when(F.col(\"id\") % 3 == 1, \"B\")\n",
" .otherwise(\"C\")\n",
" ),\n",
" \"random_value\": F.col(\"id\") * F.rand(),\n",
" \"random_value_two\": (F.col(\"id\") * 2) + F.rand(),\n",
" \"random_value_three\": F.rand()\n",
"}\n",
"\n",
"df = spark.range(0, 100).withColumns(sample_columns)\n",
"\n",
"df.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## **Plots with pattern:**\n",
"* **`x`: str** Name of column to use for the horizontal axis;\n",
"* **`y`: str or list[str]** Name(s) of the column(s) to use for the vertical axis. Multiple columns can be plotted;\n",
"* **`kwargs`: str** Plotly options."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### **line plot**"
]
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {},
"outputs": [
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"ticks": ""
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}
},
"title": {
"x": 0.05
},
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"borderwidth": 0
},
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"title": {
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},
"title": {
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},
"xaxis": {
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"domain": [
0,
1
],
"title": {
"text": "id"
}
},
"yaxis": {
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0,
1
],
"title": {
"text": "value"
}
}
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"source": [
"df.plot.line(\n",
" x=\"id\", \n",
" y=[\"random_value\", \"random_value_two\"],\n",
" title=\"Line Plot Example\", \n",
" template=\"plotly_dark\"\n",
").show()\n",
"# df.plot(\n",
"# kind=\"line\",\n",
"# x=\"id\", \n",
"# y=[\"random_value\", \"random_value_two\"],\n",
"# title=\"Line Plot Example\", \n",
"# template=\"plotly_dark\"\n",
"# ).show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### **area plot**"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {},
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"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"line": {
"color": "#283442"
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"line": {
"color": "#283442"
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#506784"
},
"line": {
"color": "rgb(17,17,17)"
}
},
"header": {
"fill": {
"color": "#2a3f5f"
},
"line": {
"color": "rgb(17,17,17)"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#f2f5fa",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#f2f5fa"
},
"geo": {
"bgcolor": "rgb(17,17,17)",
"lakecolor": "rgb(17,17,17)",
"landcolor": "rgb(17,17,17)",
"showlakes": true,
"showland": true,
"subunitcolor": "#506784"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "dark"
},
"paper_bgcolor": "rgb(17,17,17)",
"plot_bgcolor": "rgb(17,17,17)",
"polar": {
"angularaxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
},
"bgcolor": "rgb(17,17,17)",
"radialaxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "rgb(17,17,17)",
"gridcolor": "#506784",
"gridwidth": 2,
"linecolor": "#506784",
"showbackground": true,
"ticks": "",
"zerolinecolor": "#C8D4E3"
},
"yaxis": {
"backgroundcolor": "rgb(17,17,17)",
"gridcolor": "#506784",
"gridwidth": 2,
"linecolor": "#506784",
"showbackground": true,
"ticks": "",
"zerolinecolor": "#C8D4E3"
},
"zaxis": {
"backgroundcolor": "rgb(17,17,17)",
"gridcolor": "#506784",
"gridwidth": 2,
"linecolor": "#506784",
"showbackground": true,
"ticks": "",
"zerolinecolor": "#C8D4E3"
}
},
"shapedefaults": {
"line": {
"color": "#f2f5fa"
}
},
"sliderdefaults": {
"bgcolor": "#C8D4E3",
"bordercolor": "rgb(17,17,17)",
"borderwidth": 1,
"tickwidth": 0
},
"ternary": {
"aaxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
},
"baxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
},
"bgcolor": "rgb(17,17,17)",
"caxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"updatemenudefaults": {
"bgcolor": "#506784",
"borderwidth": 0
},
"xaxis": {
"automargin": true,
"gridcolor": "#283442",
"linecolor": "#506784",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "#283442",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "#283442",
"linecolor": "#506784",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "#283442",
"zerolinewidth": 2
}
}
},
"title": {
"text": "Area Plot Example"
},
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "id"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "value"
}
}
}
}
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df.plot.area(\n",
" x=\"id\", \n",
" y=[\"random_value\", \"random_value_two\"], \n",
" title=\"Area Plot Example\",\n",
" template=\"plotly_dark\"\n",
").show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### **bar plot**"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.plotly.v1+json": {
"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"alignmentgroup": "True",
"hovertemplate": "category=%{x}<br>avg_value=%{y}<extra></extra>",
"legendgroup": "",
"marker": {
"color": "#636efa"
},
"name": "",
"offsetgroup": "",
"orientation": "v",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
"B",
"C",
"A"
],
"xaxis": "x",
"y": [
22.015206595868754,
21.47559205969526,
33.67323044035863
],
"yaxis": "y"
}
],
"layout": {
"barmode": "relative",
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#f2f5fa"
},
"error_y": {
"color": "#f2f5fa"
},
"marker": {
"line": {
"color": "rgb(17,17,17)",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "rgb(17,17,17)",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
"aaxis": {
"endlinecolor": "#A2B1C6",
"gridcolor": "#506784",
"linecolor": "#506784",
"minorgridcolor": "#506784",
"startlinecolor": "#A2B1C6"
},
"baxis": {
"endlinecolor": "#A2B1C6",
"gridcolor": "#506784",
"linecolor": "#506784",
"minorgridcolor": "#506784",
"startlinecolor": "#A2B1C6"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"line": {
"color": "#283442"
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"line": {
"color": "#283442"
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#506784"
},
"line": {
"color": "rgb(17,17,17)"
}
},
"header": {
"fill": {
"color": "#2a3f5f"
},
"line": {
"color": "rgb(17,17,17)"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#f2f5fa",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"sequentialminus": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#f2f5fa"
},
"geo": {
"bgcolor": "rgb(17,17,17)",
"lakecolor": "rgb(17,17,17)",
"landcolor": "rgb(17,17,17)",
"showlakes": true,
"showland": true,
"subunitcolor": "#506784"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "dark"
},
"paper_bgcolor": "rgb(17,17,17)",
"plot_bgcolor": "rgb(17,17,17)",
"polar": {
"angularaxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
},
"bgcolor": "rgb(17,17,17)",
"radialaxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "rgb(17,17,17)",
"gridcolor": "#506784",
"gridwidth": 2,
"linecolor": "#506784",
"showbackground": true,
"ticks": "",
"zerolinecolor": "#C8D4E3"
},
"yaxis": {
"backgroundcolor": "rgb(17,17,17)",
"gridcolor": "#506784",
"gridwidth": 2,
"linecolor": "#506784",
"showbackground": true,
"ticks": "",
"zerolinecolor": "#C8D4E3"
},
"zaxis": {
"backgroundcolor": "rgb(17,17,17)",
"gridcolor": "#506784",
"gridwidth": 2,
"linecolor": "#506784",
"showbackground": true,
"ticks": "",
"zerolinecolor": "#C8D4E3"
}
},
"shapedefaults": {
"line": {
"color": "#f2f5fa"
}
},
"sliderdefaults": {
"bgcolor": "#C8D4E3",
"bordercolor": "rgb(17,17,17)",
"borderwidth": 1,
"tickwidth": 0
},
"ternary": {
"aaxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
},
"baxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
},
"bgcolor": "rgb(17,17,17)",
"caxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"updatemenudefaults": {
"bgcolor": "#506784",
"borderwidth": 0
},
"xaxis": {
"automargin": true,
"gridcolor": "#283442",
"linecolor": "#506784",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "#283442",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "#283442",
"linecolor": "#506784",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "#283442",
"zerolinewidth": 2
}
}
},
"title": {
"text": "Bar Plot Example"
},
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "category"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "avg_value"
}
}
}
}
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"(\n",
" df.groupBy(\"category\")\n",
" .agg(F.avg(\"random_value\").alias(\"avg_value\"))\n",
" .plot.bar(\n",
" x=\"category\", \n",
" y=\"avg_value\", \n",
" title=\"Bar Plot Example\",\n",
" template=\"plotly_dark\"\n",
" ).show()\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### **barHorizontal plot**"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [
{
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"config": {
"plotlyServerURL": "https://plot.ly"
},
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{
"alignmentgroup": "True",
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"legendgroup": "",
"marker": {
"color": "#636efa"
},
"name": "",
"offsetgroup": "",
"orientation": "h",
"showlegend": false,
"textposition": "auto",
"type": "bar",
"x": [
"B",
"C",
"A"
],
"xaxis": "x",
"y": [
98.47591076927253,
100.56331943418964,
99.42844957606434
],
"yaxis": "y"
}
],
"layout": {
"barmode": "relative",
"legend": {
"tracegroupgap": 0
},
"template": {
"data": {
"bar": [
{
"error_x": {
"color": "#f2f5fa"
},
"error_y": {
"color": "#f2f5fa"
},
"marker": {
"line": {
"color": "rgb(17,17,17)",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "rgb(17,17,17)",
"width": 0.5
}
},
"type": "barpolar"
}
],
"carpet": [
{
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"endlinecolor": "#A2B1C6",
"gridcolor": "#506784",
"linecolor": "#506784",
"minorgridcolor": "#506784",
"startlinecolor": "#A2B1C6"
},
"baxis": {
"endlinecolor": "#A2B1C6",
"gridcolor": "#506784",
"linecolor": "#506784",
"minorgridcolor": "#506784",
"startlinecolor": "#A2B1C6"
},
"type": "carpet"
}
],
"choropleth": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "choropleth"
}
],
"contour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
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[
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[
0.3333333333333333,
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[
0.4444444444444444,
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[
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"#fb9f3a"
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[
0.8888888888888888,
"#fdca26"
],
[
1,
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],
"type": "contour"
}
],
"contourcarpet": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "contourcarpet"
}
],
"heatmap": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmap"
}
],
"heatmapgl": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "heatmapgl"
}
],
"histogram": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "histogram"
}
],
"histogram2d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2d"
}
],
"histogram2dcontour": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
],
"type": "histogram2dcontour"
}
],
"mesh3d": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"type": "mesh3d"
}
],
"parcoords": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "parcoords"
}
],
"pie": [
{
"automargin": true,
"type": "pie"
}
],
"scatter": [
{
"marker": {
"line": {
"color": "#283442"
}
},
"type": "scatter"
}
],
"scatter3d": [
{
"line": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatter3d"
}
],
"scattercarpet": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattercarpet"
}
],
"scattergeo": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattergeo"
}
],
"scattergl": [
{
"marker": {
"line": {
"color": "#283442"
}
},
"type": "scattergl"
}
],
"scattermapbox": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scattermapbox"
}
],
"scatterpolar": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolar"
}
],
"scatterpolargl": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterpolargl"
}
],
"scatterternary": [
{
"marker": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"type": "scatterternary"
}
],
"surface": [
{
"colorbar": {
"outlinewidth": 0,
"ticks": ""
},
"colorscale": [
[
0,
"#0d0887"
],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
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],
[
0.6666666666666666,
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],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
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],
[
1,
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]
],
"type": "surface"
}
],
"table": [
{
"cells": {
"fill": {
"color": "#506784"
},
"line": {
"color": "rgb(17,17,17)"
}
},
"header": {
"fill": {
"color": "#2a3f5f"
},
"line": {
"color": "rgb(17,17,17)"
}
},
"type": "table"
}
]
},
"layout": {
"annotationdefaults": {
"arrowcolor": "#f2f5fa",
"arrowhead": 0,
"arrowwidth": 1
},
"coloraxis": {
"colorbar": {
"outlinewidth": 0,
"ticks": ""
}
},
"colorscale": {
"diverging": [
[
0,
"#8e0152"
],
[
0.1,
"#c51b7d"
],
[
0.2,
"#de77ae"
],
[
0.3,
"#f1b6da"
],
[
0.4,
"#fde0ef"
],
[
0.5,
"#f7f7f7"
],
[
0.6,
"#e6f5d0"
],
[
0.7,
"#b8e186"
],
[
0.8,
"#7fbc41"
],
[
0.9,
"#4d9221"
],
[
1,
"#276419"
]
],
"sequential": [
[
0,
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],
[
0.1111111111111111,
"#46039f"
],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
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],
[
0.6666666666666666,
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],
[
0.7777777777777778,
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],
[
0.8888888888888888,
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[
1,
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]
],
"sequentialminus": [
[
0,
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],
[
0.1111111111111111,
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],
[
0.2222222222222222,
"#7201a8"
],
[
0.3333333333333333,
"#9c179e"
],
[
0.4444444444444444,
"#bd3786"
],
[
0.5555555555555556,
"#d8576b"
],
[
0.6666666666666666,
"#ed7953"
],
[
0.7777777777777778,
"#fb9f3a"
],
[
0.8888888888888888,
"#fdca26"
],
[
1,
"#f0f921"
]
]
},
"colorway": [
"#636efa",
"#EF553B",
"#00cc96",
"#ab63fa",
"#FFA15A",
"#19d3f3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52"
],
"font": {
"color": "#f2f5fa"
},
"geo": {
"bgcolor": "rgb(17,17,17)",
"lakecolor": "rgb(17,17,17)",
"landcolor": "rgb(17,17,17)",
"showlakes": true,
"showland": true,
"subunitcolor": "#506784"
},
"hoverlabel": {
"align": "left"
},
"hovermode": "closest",
"mapbox": {
"style": "dark"
},
"paper_bgcolor": "rgb(17,17,17)",
"plot_bgcolor": "rgb(17,17,17)",
"polar": {
"angularaxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
},
"bgcolor": "rgb(17,17,17)",
"radialaxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
}
},
"scene": {
"xaxis": {
"backgroundcolor": "rgb(17,17,17)",
"gridcolor": "#506784",
"gridwidth": 2,
"linecolor": "#506784",
"showbackground": true,
"ticks": "",
"zerolinecolor": "#C8D4E3"
},
"yaxis": {
"backgroundcolor": "rgb(17,17,17)",
"gridcolor": "#506784",
"gridwidth": 2,
"linecolor": "#506784",
"showbackground": true,
"ticks": "",
"zerolinecolor": "#C8D4E3"
},
"zaxis": {
"backgroundcolor": "rgb(17,17,17)",
"gridcolor": "#506784",
"gridwidth": 2,
"linecolor": "#506784",
"showbackground": true,
"ticks": "",
"zerolinecolor": "#C8D4E3"
}
},
"shapedefaults": {
"line": {
"color": "#f2f5fa"
}
},
"sliderdefaults": {
"bgcolor": "#C8D4E3",
"bordercolor": "rgb(17,17,17)",
"borderwidth": 1,
"tickwidth": 0
},
"ternary": {
"aaxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
},
"baxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
},
"bgcolor": "rgb(17,17,17)",
"caxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"updatemenudefaults": {
"bgcolor": "#506784",
"borderwidth": 0
},
"xaxis": {
"automargin": true,
"gridcolor": "#283442",
"linecolor": "#506784",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "#283442",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "#283442",
"linecolor": "#506784",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "#283442",
"zerolinewidth": 2
}
}
},
"title": {
"text": "Horizontal Bar Plot"
},
"xaxis": {
"anchor": "y",
"domain": [
0,
1
],
"title": {
"text": "category"
}
},
"yaxis": {
"anchor": "x",
"domain": [
0,
1
],
"title": {
"text": "avg_value2"
}
}
}
}
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"(\n",
" df.groupBy(\"category\")\n",
" .agg(F.avg(\"random_value_two\").alias(\"avg_value2\"))\n",
" .plot.barh(\n",
" x=\"category\", \n",
" y=\"avg_value2\", \n",
" title=\"Horizontal Bar Plot\",\n",
" template=\"plotly_dark\"\n",
" ).show()\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## **Plots with pattern:**\n",
"* **`column`: str or list[str]** **_optional_** Column name or list of names to be used for creating the box plot.\n",
" * If None (default), all numeric columns will be used."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### **box plot**\n",
"`kwargs`:\n",
"* Extra arguments to `precision`: a float that is used by pyspark to compute approximate statistics for building a boxplot.\n",
"* The default value is 0.01. \n",
" * Use smaller values to get more precise statistics."
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [
{
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"config": {
"plotlyServerURL": "https://plot.ly"
},
"data": [
{
"boxmean": true,
"boxpoints": "suspectedoutliers",
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0
],
"mean": [
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"median": [
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"notched": false,
"q1": [
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"q3": [
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"upperfence": [
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"mean": [
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"name": "random_value_two",
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"q1": [
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"q3": [
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"type": "box",
"upperfence": [
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1
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"layout": {
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{
"error_x": {
"color": "#2a3f5f"
},
"error_y": {
"color": "#2a3f5f"
},
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "bar"
}
],
"barpolar": [
{
"marker": {
"line": {
"color": "#E5ECF6",
"width": 0.5
}
},
"type": "barpolar"
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"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"baxis": {
"endlinecolor": "#2a3f5f",
"gridcolor": "white",
"linecolor": "white",
"minorgridcolor": "white",
"startlinecolor": "#2a3f5f"
},
"type": "carpet"
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},
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],
[
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"ticks": ""
},
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}
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" title=\"Histogram of random_value\",\n",
" opacity=0.7,\n",
" template=\"plotly_dark\"\n",
").show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### **pie plot**\n",
"* **`x`: str** Name of column to be used as the category labels for the pie plot;\n",
"* **`y`: str** **_optional [currently required]_** Name of the column to plot. \n",
" * If not provided `subplots=True` must be passed at `kwargs`."
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
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"name": "stderr",
"output_type": "stream",
"text": [
"/home/calili_trybe/Documentos/gists/spark_plot/venv/lib/python3.10/site-packages/plotly/express/_core.py:1792: FutureWarning:\n",
"\n",
"When grouping with a length-1 list-like, you will need to pass a length-1 tuple to get_group in a future version of pandas. Pass `(name,)` instead of `name` to silence this warning.\n",
"\n"
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},
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"bordercolor": "rgb(17,17,17)",
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"linecolor": "#506784",
"ticks": ""
},
"baxis": {
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"linecolor": "#506784",
"ticks": ""
},
"bgcolor": "rgb(17,17,17)",
"caxis": {
"gridcolor": "#506784",
"linecolor": "#506784",
"ticks": ""
}
},
"title": {
"x": 0.05
},
"updatemenudefaults": {
"bgcolor": "#506784",
"borderwidth": 0
},
"xaxis": {
"automargin": true,
"gridcolor": "#283442",
"linecolor": "#506784",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "#283442",
"zerolinewidth": 2
},
"yaxis": {
"automargin": true,
"gridcolor": "#283442",
"linecolor": "#506784",
"ticks": "",
"title": {
"standoff": 15
},
"zerolinecolor": "#283442",
"zerolinewidth": 2
}
}
},
"title": {
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}
}
}
},
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}
],
"source": [
"(\n",
" df.groupBy(\"category\").count()\n",
" .plot.pie(\n",
" x=\"category\", \n",
" y=\"count\", \n",
" title=\"Pie Chart Example\",\n",
" template=\"plotly_dark\"\n",
" # subplots=True,\n",
" ).show()\n",
")\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### **scatter plot**\n",
"* **`x`: str** Name of column to use as horizontal coordinates for each point;\n",
"* **`y`: str** Name of column to use as vertical coordinates for each point."
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {},
"outputs": [
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"source": [
"### **kde plot**\n",
"* **`bw_method`: int or float** The method used to calculate the estimator bandwidth. See KernelDensity in PySpark for more information.\n",
"* **`column`: str or list of str** **_optional_** Column name or list of names to be used for creating the kde plot.\n",
" * If None (default), all numeric columns will be used.\n",
"* **`ind`: List of float, NumPy array or integer** **_optional_** Evaluation points for the estimated PDF. \n",
" * If None (default), 1000 equally spaced points are used. \n",
" * If `ind` is a NumPy array, the\n",
" KDE is evaluated at the points passed. \n",
" * If `ind` is an integer, `ind` number of equally spaced points are used."
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"25/05/30 22:04:43 WARN DAGScheduler: Broadcasting large task binary with size 2.5 MiB\n",
"25/05/30 22:04:49 WARN DAGScheduler: Broadcasting large task binary with size 4.4 MiB\n",
" \r"
]
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},
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},
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},
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},
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}
},
"title": {
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},
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},
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"ticks": "",
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},
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},
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"domain": [
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}
}
}
}
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df.plot.kde(\n",
" bw_method=0.5,\n",
" column=\"random_value\", \n",
" title=\"KDE of random_value\",\n",
" template=\"plotly_dark\"\n",
").show()\n"
]
}
],
"metadata": {
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},
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},
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"pygments_lexer": "ipython3",
"version": "3.10.12"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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