【python数据分析】matlabplot之表格样式调用

    xiaoxiao2022-07-13  133

    1、定位空值

    import numpy as np import pandas as pd import matplotlib.pyplot as plt df = pd.DataFrame(np.random.rand(5,4),columns = list('ABCD')) df['A'][2] = np.nan df.style.highlight_null(null_color='red')

        

    2、色彩映射

    df = pd.DataFrame(np.random.rand(10,4),columns=['one','two','three','four']) df.style.background_gradient(cmap='pink',axis =1,low=0,high=1) # cmap:颜色 # axis:映射参考,0为行,1以列

       

    3、条形图

    df = pd.DataFrame(np.random.rand(10,4),columns=['one','two','three','four']) df.style.bar(subset=['one', 'three'], color='#d65f5f', width=100) # width:最长长度在格子的占比

       

    4、分段式构建样式

    df = pd.DataFrame(np.random.rand(10,4),columns=['one','two','three','four']) df['one'][[3,2]] = np.nan df.style.\ bar(subset=['one', 'four'], color='#d65f5f', width=100).\ highlight_null(null_color='yellow')

       

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