水平条形图可视化一列

Question

我正在尝试绘制水平条形图，但是第二个数据列根本没有出现！

df = pd.DataFrame(dict(graph=["Indian","Egyptian","Emirati","Philippino","Syrian","Pakistani","Jordanian",
          "British","Lebanese","American","Chinese","Ukrainian","Canadian","Russian",
          "French","Saudi","Sudanese","Moroccan","Nigerian","Palestinian","German","Iranian",
          "Italian","Turkish","Tunisian"],
                           n=[33060621,28185470,25327222,14033365,13895316,13335555,13067230,9065737,8871022,3914119,3875486,
         3505868,3421358,3407623,3067701,2940321,2824929,2620922,2510789,2439167,1874219,1800495,1852571,1415189,1657462], 
                           m=[13504,13762,9671,4568,4995,8016,6808,5559,5456,4137,2802,1011,2386,1806,4408,2002,1141,1530,916,992,1933,1651,
          1628,1469,839])) 

ind = np.arange(len(df))
width = 0.4

fig, ax = plt.subplots(figsize=(15,20))
ax.barh(ind, df.n, width, color='red', label='N')
ax.barh(ind + width, df.m, width, color='green', label='M')

ax.set(yticks=ind + width, yticklabels=df.graph, ylim=[2*width - 1, len(df)])
ax.legend()

plt.show()

https://drive.google.com/file/d/12TB_pArFWLbCI_ZhePkEfVMpnWxTj885/view?usp=sharing

我需要一些帮助:

为什么只显示一个数据列，另一个隐藏？
我可以为每一列设置不同的范围吗？例如，第一列放上x轴，第二列放下x轴？
为什么国家/地区的名称会发生变化？

Answer 1

另一个数据列在图中不可见，因为它的值小得多。要改变它，您可以将它们放大以用于情节，例如乘以 1000 倍。
您可以使用 ax.twiny() 向图中添加第二个 x 轴，请参见下文。
y 标签相对于条形的显示位置取决于您添加到索引的 width 值。下面的代码显示了一种为每对条形图集中它们的方法。

ind = np.arange(len(df))
width = 0.4
scale = 1000

xticks = [0, 10_000_000, 20_000_000, 30_000_000]
limits = [0, 35_000_000]

fig, ax = plt.subplots(figsize=(15,20))

ax.barh(ind + 0.5 * width, df.n, width, color='red', label='N')
ax.barh(ind + 1.5 * width, scale * df.m, width, color='green', label='M')
ax.xaxis.get_major_formatter().set_useOffset(False)
ax.set(yticks=ind + width, yticklabels=df.graph, ylim=[2*width - 1, len(df)],
       xticks=xticks, xticklabels=['0', '10 M', '20 M', '30 M'], xlim=limits)

ax2 = ax.twiny()
ax2.xaxis.get_major_formatter().set_useOffset(False)
ax2.set(xticks=xticks, xticklabels=['0', '10 K', '20 K', '30 K'], xlim=limits)

ax.legend()
plt.show()

Answer 2

import plotly.graph_objects as go
from plotly.subplots import make_subplots

fig=make_subplots()   

fig.update_layout(xaxis2={ 'overlaying': 'x', 'side': 'top'})

fig.add_trace(
    go.Bar(name='M', y=df['graph'], x=df.m, orientation='h'))
fig.add_trace(
    go.Bar(name='N', y=df['graph'], x=df.n, orientation='h'))
fig.data[1].update(xaxis='x2')
fig.update_layout(width=700, height=475)

fig.show()

水平条形图可视化一列

Horizontal bar chart visualize one column

python

pandas

matplotlib

bar-chart

axis