fix: skip infinite values during serialization

[alespour]

Fixes https://github.com/influxdata/EAR/issues/5299

Proposed Changes

np.inf and -np.inf values in a Pandas data frame are skipped during during serialization into line protocol.

Other fixes:

• replace polars.DataFrame.apply (deprecated, and does not exists in latest version) with polars.DataFrame.map_rows
• replace pandas data frame replace() with apply(lambda: ) to avoid future problems

dataframe_serializer.py:250: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.

The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.

For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.

Checklist

• CHANGELOG.md updated
• Rebased/mergeable
• A test has been added if appropriate
• Tests pass
• Commit messages are conventional

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 53.26%. Comparing base (1fe1460) to head (146b987).

Additional details and impacted files

@@            Coverage Diff             @@
##             main      #99      +/-   ##
==========================================
+ Coverage   52.84%   53.26%   +0.41%     
==========================================
  Files          33       33              
  Lines        2036     2037       +1     
==========================================
+ Hits         1076     1085       +9     
+ Misses        960      952       -8     

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[bednar]

LGTM 🚀

Please back port this fix also to https://github.com/Influxdata/influxdb-client-python.