I would like to assign for x axis in matplotlib plot full date with time but with autoscale I could get only times or dates but not both.
import matplotlib.pyplot as plt
import pandas as pd
times = pd.date_range('2015-10-06', periods=500, freq='10min')
fig, ax = plt.subplots(1)
fig.autofmt_xdate()
plt.plot(times, range(times.size))
plt.show()
And on x axis I get only times without any dates so it's hard to distinct measurements.
I think that it's some option in matplotlib in matplotlib.dates.AutoDateFormatter but I couldn't find any one that could allow me to change that autoscale.
You can do this with a matplotlib.dates.DateFormatter
, which takes a strftime
format string as its argument. To get a day-month-year hour:minute
format, you can use %d-%m-%y %H:%M
:
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.dates as mdates
times = pd.date_range('2015-10-06', periods=500, freq='10min')
fig, ax = plt.subplots(1)
fig.autofmt_xdate()
plt.plot(times, range(times.size))
xfmt = mdates.DateFormatter('%d-%m-%y %H:%M')
ax.xaxis.set_major_formatter(xfmt)
plt.show()