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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:\数据杂坛\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#34;)

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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()