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IO Fixed Width
IO Fixed Width
read_fwf
IO HDF5
IO HDF5
read_hdf, HDFStore
IO HTML
IO HTML
read_html, to_html, Styler.apply, Styler.applymap
IO JSON
IO JSON
read_json, to_json, json_normalize
IO LaTeX
IO LaTeX
to_latex
IO Network
IO Network
Local or Cloud (AWS, GCS, etc.) IO Issues
IO Parquet
IO Parquet
parquet, feather
IO Pickle
IO Pickle
read_pickle, to_pickle
IO SAS
IO SAS
SAS: read_sas
IO SQL
IO SQL
to_sql, read_sql, read_sql_query
IO Stata
IO Stata
read_stata, to_stata
IO XML
IO XML
read_xml, to_xml
isin
isin
isin method
Linux
Linux
Linux OS
Localization
Localization
Internationalization of data
Master Tracker
Master Tracker
High level tracker for similar issues
metadata
metadata
_metadata, .attrs
Missing-data
Missing-data
np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
Mothballed
Mothballed
Temporarily-closed PR the author plans to return to
Multi-Block
Multi-Block
Issues caused by the presence of multiple Blocks
Multithreading
Multithreading
Parallelism in pandas
NA - MaskedArrays
NA - MaskedArrays
Related to pd.NA and nullable extension arrays
Needs Discussion
Needs Discussion
Requires discussion from core team before further action
Needs Info
Needs Info
Clarification about behavior needed to assess issue
Needs Tests
Needs Tests
Unit test(s) needed to prevent regressions
Needs Triage
Needs Triage
Issue that has not been reviewed by a pandas team member
Nested Data
Nested Data
Data where the values are collections (lists, sets, dicts, objects, etc.).
Non-Nano
Non-Nano
datetime64/timedelta64 with non-nanosecond resolution
Nuisance Columns
Nuisance Columns
Identifying/Dropping nuisance columns in reductions, groupby.add, DataFrame.apply