Bug summary

When plotting time-series data from a high-frequency data source, the plot looks distorted when the values are plotted against a nanosecond timestamp.

I am working in PyCharm 2021.2.2 Community Edition, without Jupiter notebook

Code for reproduction

importpandasaspdfrompandasimportDataFramefrommatplotlibimportpyplotaspltif__name__=='__main__':data=DataFrame(pd.read_hdf('YRT1DT2F_rawdata_series_2022-05-10_0h-6h.h5','YRT1DT2F'))data=data[pd.to_datetime('2022-05-10 04:28:32.573995',utc=False,unit='ns'):pd.to_datetime('2022-05-10 04:28:32.574',utc=False,unit='ns')]print(data)plt.plot(data['value'])# produces bad outputplt.show()plt.plot(data['value'].values)# produces good outputplt.show()

Actual outcome

Plot result ofdata['values'].values

Plot result ofdata['values']

Expected outcome

I would expect the plot result to lookalike "good plot", but with time-scaled x-Axis

Additional information

No response

Operating system

MacOS 12.4 (Monterey)

Matplotlib Version

3.5.2

Matplotlib Backend

MacOSX

Python version

3.9.13

Jupyter version

No response

Installation

pip