使用matplotlib绘制df时如何在图表上获取x轴标签

Question

I have minutely data in a dataframe. I'm trying to plot on y axis column C , against the index column date. How can I show 5 dates as x-axis labels?

Currently, I try to plot like this:

df['C'].plot(figsize=(16,6))

However, I can't see any x-axis labels.

df=pd.DataFrame([["2020-07-01 00:00:00",2],["2020-07-01 00:01:00",3]],columns=['date','C'])

Answer 1

Here is the solution :

• Read the dataframe :

df=pd.DataFrame([["2020-07-01 00:00:00",2],["2020-07-01 00:01:00",3]],columns=['date','C'])

• Change the dtype of date to pandas datetime64[ns] .

df.date = pd.to_datetime(df.date)

• Plot with supplying date as x :

df.plot(x='date')

Output :

You can change the frequency of the ticks using mdates.DateFormatter as explained in the answer here :

## borrowed from https://stackoverflow.com/questions/14946371/editing-the-date-formatting-of-x-axis-tick-labels-in-matplotlib
import matplotlib.dates as mdates
myFmt = mdates.DateFormatter('%d') ## change '%d' depending on your requirement
ax.xaxis.set_major_formatter(myFmt)