{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Erstellung verschiedener Diagrammarten mit Plotly" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Installiere Plotly, beispielsweise mit pip:" ] }, { "cell_type": "code", "execution_count": 417, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: plotly in /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages (5.14.1)\n", "Requirement already satisfied: tenacity>=6.2.0 in /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages (from plotly) (8.2.2)\n", "Requirement already satisfied: packaging in /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages (from plotly) (21.3)\n", "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages (from packaging->plotly) (3.0.6)\n" ] } ], "source": [ "# install plotly using pip\n", "!pip3.10 install plotly" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Zum statischen Speichern der Plotly Figuren, installiere Kaleido:" ] }, { "cell_type": "code", "execution_count": 418, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: kaleido in /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages (0.2.1)\n" ] } ], "source": [ "!pip3.10 install -U kaleido" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Generierung von Beispieldaten und Anlegen eines Pandas-Dataframes: " ] }, { "cell_type": "code", "execution_count": 419, "metadata": {}, "outputs": [], "source": [ "# import libraries\n", "import plotly.express as px\n", "import plotly.graph_objs as go\n", "import pandas as pd\n", "import numpy as np\n", "\n", "# create sample data for one company\n", "data = {'Jahr': ['2017', '2018', '2019', '2020', '2021', '2022'],\n", " 'Umsatz': [19, 23, 30, 42, 37, 45]}\n", "# save as pandas dataframe\n", "df = pd.DataFrame.from_dict(data)\n", "\n", "# create sample data for a second company\n", "data2 = {'Jahr': ['2017', '2018', '2019', '2020', '2021', '2022'],\n", " 'Umsatz': [15, 21, 33, 28, 27, 30]}\n", "# save as pandas dataframe\n", "df2 = pd.DataFrame.from_dict(data2)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Säulendiagramme" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Erstellung eines \"einfachen\" Säulendiagramms:" ] }, { "cell_type": "code", "execution_count": 420, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "=%{y}", "legendgroup": "", "marker": { "color": "#00509b", "pattern": { "shape": "" } }, "name": "", "offsetgroup": "", "orientation": "v", "showlegend": false, "textposition": "auto", "type": "bar", "x": [ 0, 1, 2, 3, 4, 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"gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "" } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# create horizontal bar plot\n", "fig_balken = px.bar(df, x = 'Umsatz', labels = {'index': '', 'Umsatz': ''}, orientation='h')\n", "# set color\n", "fig_balken.update_traces(marker_color = '#00509b')\n", "\n", "# save as image\n", "fig_balken.write_image('Balken.png')\n", "# show in notebook\n", "fig_balken.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ergänzung von Titel und Achsenbeschriftungen:" ] }, { "cell_type": "code", "execution_count": 422, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Jahr=%{x}
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"paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Umsatzentwicklung von Unternehmen A" }, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "Jahr" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "Umsatz in Mio.€" } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "# sreate bar plot with named labels and title\n", "fig_saeule_titel = px.bar(df, x = 'Jahr', y = 'Umsatz', labels = {'Umsatz': 'Umsatz in Mio.€'}, title = 'Umsatzentwicklung von Unternehmen A')\n", "# set color\n", "fig_saeule_titel.update_traces(marker_color = '#00509b')\n", "\n", "# save as image\n", "fig_saeule_titel.write_image('Saeule_Titel.png')\n", "# show in notebook\n", "fig_saeule_titel.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Vergleich zweier Datensätze in einem Säulendiagramm:" ] }, { "cell_type": "code", "execution_count": 423, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "marker": { "color": "#00509b" }, "name": "A", "type": "bar", "x": [ "2017", "2018", "2019", "2020", "2021", "2022" ], "y": [ 19, 23, 30, 42, 37, 45 ] }, { "marker": { "color": "#6f7072" }, "name": "B", "type": "bar", "x": [ "2017", "2018", "2019", "2020", "2021", "2022" ], "y": [ 15, 21, 33, 28, 27, 30 ] } ], "layout": { "barmode": "group", "legend": { "title": { "text": "Unternehmen" } }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, 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0.8888888888888888, "#fdca26" ], [ 1, "#f0f921" ] ] }, "colorway": [ "#636efa", "#EF553B", "#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Vergleich der Umsatzentwicklung" }, "xaxis": { "title": { "text": "Jahr" } }, "yaxis": { "title": { "text": "Umsatz in Mio.€" } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# create figure\n", "fig_saeule_zwei= go.Figure()\n", "\n", "# add trace for company 1\n", "fig_saeule_zwei.add_trace(go.Bar(x = df['Jahr'], y = df['Umsatz'], name = 'A', marker_color=\"#00509b\"))\n", "\n", "# add trace for company 2\n", "fig_saeule_zwei.add_trace(go.Bar(x = df2['Jahr'], y = df2['Umsatz'], name = 'B', marker_color = \"#6f7072\"))\n", "\n", "# update layout to grouped\n", "fig_saeule_zwei.update_layout(barmode='group')\n", "\n", "# set title and labels\n", "fig_saeule_zwei.update_layout(\n", " title = \"Vergleich der Umsatzentwicklung\",\n", " xaxis_title = \"Jahr\",\n", " yaxis_title = \"Umsatz in Mio.€\",\n", " legend_title = \"Unternehmen\",\n", ")\n", "\n", "# save as image\n", "fig_saeule_zwei.write_image('Saeule_Zwei.png')\n", "# show in notebook\n", "fig_saeule_zwei.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Liniendiagramme\n", "\n", "Erstellen eines \"einfachen\" Liniendiagramms:" ] }, { "cell_type": "code", "execution_count": 424, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "=%{y}", "legendgroup": "", "line": { "color": "#00509b", "dash": "solid" }, "marker": { "symbol": "circle" }, "mode": "lines", "name": "", "orientation": "v", "showlegend": false, "type": "scatter", "x": [ 0, 1, 2, 3, 4, 5 ], "xaxis": "x", "y": [ 19, 23, 30, 42, 37, 45 ], "yaxis": "y" } ], "layout": { "legend": { "tracegroupgap": 0 }, "margin": { "t": 60 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], "barpolar": [ { "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, 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"lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "" } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# create line plot\n", "fig_line = px.line(df, y = df['Umsatz'], labels = {'index':'', 'Umsatz': ''})\n", "# set color\n", "fig_line.update_traces(line_color = '#00509b')\n", 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"#00cc96", "#ab63fa", "#FFA15A", "#19d3f3", "#FF6692", "#B6E880", "#FF97FF", "#FECB52" ], "font": { "color": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Vergleich der Umsatzentwicklung" }, "xaxis": { "title": { "text": "Jahr" } }, "yaxis": { "title": { "text": "Umsatz in Mio.€" } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# create figure\n", "fig_line = go.Figure()\n", "# add trace for company 1\n", "fig_line.add_trace(go.Scatter(x = df['Jahr'], y = df['Umsatz'], name = 'A', line_color = '#00509b', marker_color = '#00509b'))\n", "# add trace for company 2\n", "fig_line.add_trace(go.Scatter(x = df2['Jahr'], y = df2['Umsatz'], name = 'B', line_color = '#6f7072', marker_color = '#6f7072'))\n", "# set title and labels\n", "fig_line.update_layout(\n", " title = \"Vergleich der Umsatzentwicklung\",\n", " xaxis_title = \"Jahr\",\n", " yaxis_title = \"Umsatz in Mio.€\",\n", " legend_title = \"Unternehmen\",\n", ")\n", "# save as image\n", "fig_line.write_image(\"Linie_Vergleich.png\")\n", "# show in notebook\n", "fig_line.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Streudiagramm" ] }, { "cell_type": "code", "execution_count": 426, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "marker": { "color": 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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": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# create sample data\n", "x = [1,2,2,3,5,5,6,6,6,7,8,8,8,10,10,10,7,4,3,4,9,6]\n", "y = [1,2,3,3,3,4,5,5,6,6,7,7,8,8,9,10,2,10,8,6,6,4]\n", "\n", "# create scatter plot\n", "scatter = go.Figure(data=go.Scatter(x=x, y=y, mode='markers', marker = {'color': '#00509b'}))\n", "# save as image\n", "scatter.write_image('Streudiagramm.png')\n", "# show in netbook\n", "scatter.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Kreisdiagramm" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Erstellung eines \"einfachen\" Kreisdiagramms:" ] }, { "cell_type": "code", "execution_count": 427, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "customdata": [ [ "negativ" ], [ "neutral" ], [ "positiv" ] ], "domain": { "x": [ 0, 1 ], "y": [ 0, 1 ] }, "hovertemplate": "value=%{value}
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"white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# create sample data\n", "sentiment = [0.1, 0.3, 0.6]\n", "scores = ['negativ', 'neutral', 'positiv']\n", "# create pie chart\n", "fig_kreis = px.pie(values=sentiment, color = scores, color_discrete_map={'negativ':'black',\n", " 'neutral':'#6f7072',\n", " 'positiv':'#00509b'})\n", "# save as image\n", "fig_kreis.write_image('Kreis.png')\n", "# show in notebook\n", "fig_kreis.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Erweiterung um geeignete Farben, Beschriftungen und einen Titel:" ] }, { "cell_type": "code", "execution_count": 428, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { 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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": "#2a3f5f" }, "geo": { "bgcolor": "white", "lakecolor": "white", "landcolor": "#E5ECF6", "showlakes": true, "showland": true, "subunitcolor": "white" }, "hoverlabel": { "align": "left" }, "hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Stimmungsanalyse basierend auf Nachrichtenartikel X" } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# create figure \n", "fig_sentiment = px.pie(values=sentiment, names=scores, color = scores, color_discrete_map={'negativ':'lightcoral',\n", " 'neutral':'moccasin',\n", " 'positiv':'darkseagreen'}, title = 'Stimmungsanalyse basierend auf Nachrichtenartikel X')\n", "# change line color\n", "fig_sentiment.update_traces(marker = dict(line=dict(color='#000000', width=2)))\n", "# save as image\n", "fig_sentiment.write_image('Kreis_Sentiment.png')\n", "# show in notebook\n", "fig_sentiment.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Pfeile " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Achtung: Berechnungen stimmen noch nicht, Beispiel funktioniert bisher nur für 0.75 und 0.25 einigermaßen" ] }, { "cell_type": "code", "execution_count": 429, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.patches as patches\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "compound = 0.75\n", "angle = (compound * 100 - 50) * 1.8\n", "\n", "x_length = (np.sin(np.radians(angle))*1.2)/2\n", "y_length = (np.cos(np.radians(angle))*1.2)/2\n", "\n", "if compound < 0.5:\n", " y_tail = y_length\n", " y_head = -y_length\n", " x_tail = x_length\n", " x_head = - x_length\n", "else:\n", " y_tail = -y_length\n", " y_head = y_length\n", " x_tail = - x_length\n", " x_head = x_length\n", "\n", "\n", "dx = x_head - x_tail\n", "dy = y_head - y_tail\n", "\n", "fig, ax = plt.subplots() \n", "arrow = patches.FancyArrowPatch((x_tail, y_tail), (x_head, y_head),\n", " mutation_scale=100, ec = 'darkseagreen', fc = 'darkseagreen')\n", "ax.add_patch(arrow)\n", "plt.axis('off')\n", "ax.set_xlim([-1, 1])\n", "ax.set_ylim([-1, 1])\n", "ax.set_title('Aktueller Stimmungstrend', fontsize=20)\n", "fig.suptitle(' ', fontsize=24)\n", "fig.savefig('Pfeil.png')\n" ] } ], "metadata": { "interpreter": { "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" }, "kernelspec": { "display_name": "Python 3.10.1 64-bit", "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": "3.10.1" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }