python - 限制 xticks pandas 条形图中的字符

Question

我有以下代码:

    df = input_df_.loc[input_df_.index.isin(inds)]
    df = df.drop(expected_metrics+metrics+['AgeNBR'],axis=1).mean()\
            .sort_values(ascending=False)[:25]
    df.plot(kind='bar',width=.4,position=1,color='red')
    full_df = input_df_[df.index].mean()
    full_df.plot(kind='bar',width=.4,position=0,color='blue')

    plt.show()

    difference = full_df - df

    difference.plot(kind='bar',color =  ['r' if x > 0 else 'b' for x in difference.values])
    plt.show()

代码有效，但由于某些 x-ticks 非常长，因此两张图像最终相距甚远。有没有办法限制单个 x-ticks 中文本的大小？类似于前 7 个字符？

Answer 1

下面是提问者是如何解决这个问题的:

    plt.subplot(1,2,1)
    df.plot(kind='bar',width=.4,position=1,color='red')
    full_df = input_df_[df.index].mean()
    full_df.plot(kind='bar',width=.4,position=0,color='blue')\
        .set_xticklabels([str(tick)[:45] for tick in full_df.index])
    plt.xticks(fontsize=20)
    plt.yticks(fontsize=20)
    plt.gca().set_title('Selected and full feature set averages',fontsize=30)

    plt.subplot(1,2,2)     
    difference = df - full_df 

    difference.plot(kind='bar',color =  ['r' if x > 0 else 'b' for x in difference.values]).\
        set_xticklabels([str(tick)[:45] for tick in difference.index])
    plt.xticks(fontsize=20)
    plt.yticks(fontsize=20)
    plt.gca().set_title('Selected minus full feature set averages', fontsize=30)
    plt.show()