Make pandas plot() show xlabel and xvalues

Question

I am using the standard pandas.df.plot() function to plot two columns in a dataframe. For some reason, the x-axis values and the xlabel are not visible! There seem

Answer 1

This is a bug with Jupyter notebooks displaying pandas scatterplots that have a colorscale displayed while using Matplotlib as the plotting backend.

@june-skeeter has a solution in the answers works. Alternatively, pass sharex=False to df.plot.scatter and you don't need to create subplots.

import matplotlib.cm as cm
import pandas as pd

X = np.random.rand(10,3)

df = pd.DataFrame(X,columns=['t','hlReference', 'STEP_STRENGTH'])

df.plot.scatter(
    x='t', 
    y='hlReference', 
    c='STEP_STRENGTH', 
    cmap=cm.autumn,
    sharex=False
)

See discussion in this closed pandas issues. Which references the above solution in a related SO answer.

Still an issue with pandas v1.1.0. You can track the issue here: https://github.com/pandas-dev/pandas/issues/36064

Answer 2

Create your axes instance first and then send it as an argument to the plot()

import matplotlib.cm as cm
import pandas as pd


X = np.random.rand(10,3)
df = pd.DataFrame(X,columns=['t','hlReference', 'STEP_STRENGTH'])
fig,ax1=plt.subplots()
df.plot.scatter(x='t', y='hlReference', c='STEP_STRENGTH', cmap=cm.autumn,ax=ax1)