Pandas 2.0 Migration

[loicdiridollou]

While working on the following, I noticed that you could not pass a list of str to to_timedelta although this is used in the examples in the docs (https://pandas.pydata.org/docs/reference/api/pandas.DatetimeIndex.as_unit.html#pandas.DatetimeIndex.as_unit)

• Added DatetimeIndex.as_unit() and TimedeltaIndex.as_unit() to convert to different resolutions; supported resolutions are “s”, “ms”, “us”, and “ns”

Also noticed these ones from the tracker have no pending actions and could be marked as done:

• Removed arguments verbose and encoding from DataFrame.to_excel() and Series.to_excel()
• Remove argument inplace from MultiIndex.set_levels() and MultiIndex.set_codes()
• Removed deprecated Index.is_monotonic(), and Series.is_monotonic()
• Removed deprecated null_counts argument in DataFrame.info()
• Removed deprecated RangeIndex._start(), RangeIndex._stop(), RangeIndex._step()
• Removed deprecated Series.append(), DataFrame.append()
• Removed deprecated DataFrame._AXIS_NUMBERS(), DataFrame._AXIS_NAMES(), Series._AXIS_NUMBERS(), Series._AXIS_NAMES()
• Default value of dtype in get_dummies() is changed to bool from uint8
• DataFrame.plot.hist() now recognizes xlabel and ylabel arguments
• to_datetime() now accepts "ISO8601" as an argument to format, which will match any ISO8601 string (but possibly not identically-formatted)
• to_datetime() now accepts "mixed" as an argument to format, which will infer the format for each element individually
• The levels of the index of the Series returned from Series.sparse.from_coo now always have dtype int32. Previously they had dtype int64

[Dr-Irv]

I have updated the master list according to what you wrote above.