相关疑难解决方法(0)

seaborn热图图中的离散传说

我使用这里的数据来构建使用seaborn和pandas的热图.

输入csv文件位于:https://www.dropbox.com/s/5jc1vr6u8j7058v/LUH2_trans_matrix.csv? dl = 0

码:

    import pandas
    import seaborn.apionly as sns

    # Read in csv file
    df_trans = pandas.read_csv('LUH2_trans_matrix.csv')

    sns.set(font_scale=0.8)
    cmap = sns.cubehelix_palette(start=2.8, rot=.1, light=0.9, as_cmap=True)
    cmap.set_under('gray')  # 0 values in activity matrix are shown in gray (inactive transitions)
    df_trans = df_trans.set_index(['Unnamed: 0'])
    ax = sns.heatmap(df_trans, cmap=cmap, linewidths=.5, linecolor='lightgray')

    # X - Y axis labels
    ax.set_ylabel('FROM')
    ax.set_xlabel('TO')

    # Rotate tick labels
    locs, labels = plt.xticks()
    plt.setp(labels, rotation=0)
    locs, labels = plt.yticks()
    plt.setp(labels, rotation=0)

    # revert matplotlib …
Run Code Online (Sandbox Code Playgroud)

python matplotlib pandas seaborn

13
推荐指数
3
解决办法
8292
查看次数

标签 统计

matplotlib ×1

pandas ×1

python ×1

seaborn ×1