如何将条形图标签移动到 Y 轴？

Question

I want to have the bar labels marked on the Y-axis, instead of top of the bar charts. Is there a way to do this?

I have quite a lengthy piece of code to recreate this plot, so reproducing only part of it. My only idea is to do it one by one through ax.patches..

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

np.random.seed(12345)

df = pd.DataFrame([np.random.normal(32000,200000,3650), 
                   np.random.normal(43000,100000,3650), 
                   np.random.normal(43500,140000,3650), 
                   np.random.normal(48000,70000,3650)], 
                  index=[1992,1993,1994,1995])
df
....
bar_plot = plt.bar(df.index, df.mean(axis=1),yerr=upper, edgecolor='indigo', color=color)  
for i in ax.patches:

    ax.text(i.get_x()+0.2, i.get_height()-5.8, \
            str(round((i.get_height()), 1)), fontsize=14, color='darkblue')

Answer 1

To also show the heights on the y-axis, one could introduce minor y-ticks at those positions. Optionally, gridlines can be drawn there.

For the minor y tick labels not to interfere with the major y tick labels, a possibility is to make the ticks larger which moves the ticks to the left.

Other possibilities would be to remove the major ticks entirely ( plt.yticks([]) ), or to draw either of the ticks at the right side.

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import FixedLocator, FormatStrFormatter

np.random.seed(12345)

df = pd.DataFrame([np.random.normal(32000, 200000, 3650),
                   np.random.normal(43000, 100000, 3650),
                   np.random.normal(43500, 140000, 3650),
                   np.random.normal(48000, 70000, 3650)],
                  index=[1992, 1993, 1994, 1995])
means = df.mean(axis=1)
bar_plot = plt.bar(df.index, means, edgecolor='indigo',
                   color=[plt.cm.inferno(i / df.shape[0]) for i in range(df.shape[0])])
plt.xticks(df.index)
ax = plt.gca()
ax.yaxis.set_minor_locator(FixedLocator(means))
ax.yaxis.set_minor_formatter(FormatStrFormatter("%.2f"))
ax.tick_params(axis='y', which='minor', length=40, color='r', labelcolor='r', labelleft=True)
plt.grid(axis='y', which='minor', color='r', ls='--')
plt.tight_layout()
plt.show()