Bug summary

Hello. When plotting time series data using Matplotlib and Pandas, I have observed a significant difference in execution times between plots with and without timezones.

Code and Observation:

I have provided a code snippet below for reference:

Code for reproduction

importmatplotlib.pyplotaspltn=1000000vertical= [iforiinrange(n)]# Prepare the datadates_no_tz=pd.date_range('2019-01-01',periods=n,freq='T')dates_with_tz=pd.date_range('2019-01-01',periods=n,freq='T',tz='UTC')# Plot the time series without timezone%timeplt.plot(dates_no_tz,vertical)# Plot the time series with timezone%timeplt.plot(dates_with_tz,vertical)

Actual outcome

CPU times: user 50.6 ms, sys: 19.1 ms, total: 69.7 ms
Wall time: 71.2 ms
CPU times: user 3.44 s, sys: 192 ms, total: 3.63 s
Wall time: 3.69 s

Expected outcome

Expect a similar execution time

Additional information

No response

Operating system

No response

Matplotlib Version

3.8.0

Matplotlib Backend

module://matplotlib_inline.backend_inline

Python version

Python 3.9.18

Jupyter version

No response

Installation

pip