Welcome to OStack Knowledge Sharing Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
1.2k views
in Technique[技术] by (71.8m points)

matplotlib - pandas .plot() x-axis tick frequency -- how can I show more ticks?

I am plotting time series using pandas .plot() and want to see every month shown as an x-tick.

Here is the dataset structure data set

Here is the result of the .plot()

enter image description here

I was trying to use examples from other posts and matplotlib documentation and do something like

ax.xaxis.set_major_locator(
   dates.MonthLocator(revenue_pivot.index, bymonthday=1,interval=1))

But that removed all the ticks :(

I also tried to pass xticks = df.index, but it has not changed anything.

What would be the rigth way to show more ticks on x-axis?

See Question&Answers more detail:os

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Answer

0 votes
by (71.8m points)

No need to pass any args to MonthLocator. Make sure to use x_compat in the df.plot() call per @Rotkiv's answer.

import pandas as pd
import numpy as np
import matplotlib.pylab as plt
import matplotlib.dates as mdates

df = pd.DataFrame(np.random.rand(100,2), index=pd.date_range('1-1-2018', periods=100))
ax = df.plot(x_compat=True)
ax.xaxis.set_major_locator(mdates.MonthLocator())
plt.show()

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome to OStack Knowledge Sharing Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

...