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繪圖專區.md

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繪圖專區

    # 改變繪圖樣式 (style)
    直方圖之類的
    plt.style.use('ggplot') 
    plt.hist(app_train['DAYS_BIRTH'] / 365, edgecolor = 'k', bins = 25)
    sns.kdeplot(app_train.loc[app_train['TARGET'] == 0, 'DAYS_BIRTH'] / 365, label = 'target == 0')
    sns.kdeplot(app_train.loc[app_train['TARGET'] == 1, 'DAYS_BIRTH'] / 365, label = 'target == 1')
    sns.distplot(app_train.loc[app_train['TARGET'] == 1, 'DAYS_BIRTH'] / 365, label = 'target == 1')
    # Heatmap
    如果是兩個欄資料，可以用 plot plt.plot(x1, x2) 看
    sns.heatmap(ext_data_corrs, cmap = plt.cm.RdYlBu_r, vmin = -0.25, annot = True, vmax = 0.6)
    grid = sns.PairGrid(Data)
    grid.map_upper(plt.scatter)
    gird.map_diag(sns.kdeplot)
    grid.map_lower(sns.kde.plot, cmap=plt.cm.OrRd_r)

Model flow

    model.summary()
    from keras.utils import plot_model
    plot_model(model, to_file='model.png')