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. Following code:

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()