散点图 plot x 轴刻度标签未显示

Question

Here is my code:

import pandas as pd
import matplotlib.pyplot as plt

wine = pd.read_csv('red wine quality.csv')

wine = wine.dropna()

plt.figure()
wine.plot.scatter(x = 'pH', y = 'alcohol', c = 'quality', alpha = 0.4,\
                  cmap = plt.get_cmap('jet'), colorbar = True)
plt.savefig('scatter plot.png')
plt.tight_layout()
plt.show()

Here is the plot that I get:

I get a scatter plot with the y-axis labeled as 'alcohol' ranging from 9-15 and the color bar labeled as 'quality' ranging from 3-8. I thought I had designated in my code that the x-axis would show up labeled as 'pH', but I get nothing. I have tried adjusting my figsize down to [8, 8], setting dpi to 100, and labeling the axes, but nothing will make the x-axis show up. What am I doing wrong?

Here is an MCVE to play with:

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

df = pd.DataFrame(np.random.randn(50, 4), columns=['A', 'B', 'C', 'D'])

plt.figure()
df.plot.scatter(x = 'A', y = 'B', c = 'C', alpha = 0.4,\
                  cmap = plt.get_cmap('jet'), colorbar = True)
plt.tight_layout()
plt.show()

Answer 1

X axis label and minor tick labels not showing on Pandas scatter plot is a known and open issue with Pandas (see BUG: Scatterplot x-axis label disappears with colorscale when using matplotlib backend · Issue #36064 ).

This bug occurs with Jupyter notebooks displaying Pandas scatterplots that have a colormap while using Matplotlib as the plotting backend. The simplest workaround is passing sharex=False to pandas.DataFrame.plot.scatter.

See Make pandas plot() show xlabel and xvalues