實現功能：
python繪制金字塔圖，一種排過序的分組水平柱狀圖barplot，可很好展示不同分組之間的差異，可可視化逐級過濾或者漏鬥的每個階段。
實現代碼：
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import pandas as pd |
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import matplotlib.pyplot as plt |
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import seaborn as sns |
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# Read data |
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df = pd.read_csv("D:\數據雜壇\datasets\email_campaign_funnel.csv") |
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# Draw Plot |
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plt.figure(figsize=(12, 8), dpi=80) |
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group_col = 'Gender' |
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order_of_bars = df.Stage.unique()[::-1] |
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colors = [ |
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plt.cm.Set1(i / float(len(df[group_col].unique()) - 1)) |
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for i in range(len(df[group_col].unique())) |
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] |
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for c, group in zip(colors, df[group_col].unique()): |
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sns.barplot(x='Users', |
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y='Stage', |
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data=df.loc[df[group_col] == group, :], |
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order=order_of_bars, |
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color=c, |
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label=group) |
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# Decorations |
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plt.xlabel("$Users$") |
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plt.ylabel("Stage of Purchase") |
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plt.yticks(fontsize=12) |
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plt.title("Population Pyramid of the Marketing Funnel", fontsize=18) |
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plt.legend() |
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plt.show() |
實現效果：
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