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I am trying to make a scatter plot that has hourly data of some value on y axis and each hourly data has a corresponding date (24 same dates for a day) as x axis value. When I plot this, the x axis seems too "crowded" and it becomes a black line. I would like to group those dates into months so that I have 12 months (for a year worth of data) on x axis and all the 24h values on the y axis. This is how the current graph looks like. And this is my basic plot code: 

plt.scatter(df['datum'],df['PEF-MFE'])
plt.axis('scaled')
plt.show()

Now, how would I go about grouping the dates so that I get months on the x axis?

Andraxyz
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  • Does this example help? https://matplotlib.org/gallery/text_labels_and_annotations/date.html – jdamp Oct 07 '18 at 18:45
  • You need to plot actual dates instead of strings. Possibly just use `df['datum'] = pd.to_datetime(df['datum'])`, but without [mcve] one cannot tell for sure. – ImportanceOfBeingErnest Oct 08 '18 at 00:01

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