如何将 pandas dataframe plot 从垂直更改为水平并为轴标签添加行距？

Question

I plotted a dataframe using the following command我使用以下命令绘制了 dataframe

df['col1'].value_counts().plot.bar(orientation='vertical')

The output is shown as above. output 如上图所示。 I would like to change two things:我想改变两点：

swap the x and y axis so i can read the current x axis text from left to right (NOTE the current x axis labels contains long text and it is hard to read it vertically. Picture is truncated at the bottom for simplicity of this post)交换 x 和 y 轴，这样我就可以从左到右阅读当前的 x 轴文本（注意当前的 x 轴标签包含长文本，很难垂直阅读。为简单起见，图片在底部被截断）
add line spacing between the labels for the current x axis so it helps reading (will be on the y axis if step 1 is done).在当前 x 轴的标签之间添加行距，以便有助于阅读（如果步骤 1 完成，将在 y 轴上）。 If increasing the size of the plot is needed, please suggest how to do so.如果需要增加 plot 的尺寸，请建议如何做。

I have tried a few things but none of them have any visible effects.我已经尝试了一些东西，但它们都没有任何明显的效果。 eg,例如，

plt.xticks(linespacing=1.5)
np.linspace(-1, 1, 10000)

Answer 1

You can plot horizontally directly.您可以直接水平 plot。 Also, consider setting a different font size in advance, eg:另外，请考虑提前设置不同的字体大小，例如：

plt.rcParams.update({'font.size': 6})  # Arbitrary
df['col1'].value_counts().plot(kind="barh", figsize=(5, 20))