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import pandas as pd

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import matplotlib as mpl

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import matplotlib.pyplot as plt

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import seaborn as sns

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import warnings

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warnings.filterwarnings(action='once')

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plt.style.use('seaborn-whitegrid')

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sns.set_style("whitegrid")

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print(mpl.__version__)

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print(sns.__version__)

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def draw_Marginal_Histogram(file):

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# Import Data

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df = pd.read_csv(file)

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# Create Fig and gridspec

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fig = plt.figure(figsize=(10, 6), dpi=100)

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grid = plt.GridSpec(4, 4, hspace=0.5, wspace=0.2)

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# Define the axes

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ax_main = fig.add_subplot(grid[:-1, :-1])

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ax_right = fig.add_subplot(grid[:-1, -1], xticklabels=[], yticklabels=[])

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ax_bottom = fig.add_subplot(grid[-1, 0:-1], xticklabels=[], yticklabels=[])

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# Scatterplot on main ax

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ax_main.scatter('displ',

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'hwy',

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s=df.cty * 4,

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c=df.manufacturer.astype('category').cat.codes,

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alpha=.9,

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data=df,

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cmap="Set1",

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edgecolors='gray',

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linewidths=.5)

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# histogram on the right

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ax_bottom.hist(df.displ,

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40,

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histtype='stepfilled',

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orientation='vertical',

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color='#098154')

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ax_bottom.invert_yaxis()

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# histogram in the bottom

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ax_right.hist(df.hwy,

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40,

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histtype='stepfilled',

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orientation='horizontal',

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color='#098154')

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# Decorations

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ax_main.set(title='Scatterplot with Histograms displ vs hwy',

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xlabel='displ',

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ylabel='hwy')

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ax_main.title.set_fontsize(10)

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for item in ([ax_main.xaxis.label, ax_main.yaxis.label] +

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ax_main.get_xticklabels() + ax_main.get_yticklabels()):

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item.set_fontsize(10)

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xlabels = ax_main.get_xticks().tolist()

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ax_main.set_xticklabels(xlabels)

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plt.show()

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draw_Marginal_Histogram("F:\数据杂坛\datasets\mpg_ggplot2.csv")