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DOC: Additions/updates documentation for df.interpolate() methods #60227 #60247

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Merged
merged 17 commits into from
Nov 12, 2024
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DOC: Additions/updates documentation for df.interpolate() methods #60227 #60247

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a8b2b66
DOC: Improve documentation for df.interpolate() methods #60227
Nov 8, 2024
78b1893
DOC: Fix rounding in DataFrame.interpolate index method example
Nov 9, 2024
cefadad
Merge remote-tracking branch 'upstream/main' into improve-docs-interp…
Nov 9, 2024
937fc33
Fix: Use index method for linear interpolation with non-sequential index
Nov 9, 2024
c80d9bf
Refactor: Rename DataFrame variable for non-sequential index
Nov 9, 2024
5da848b
Refactor: Added Example for non-sequential dataframe at the end of do…
Nov 9, 2024
62a2359
CLN: Remove trailing whitespace in docstring and adding comment
Nov 9, 2024
8cd11de
DOC: Revert added non-sequential index example in interpolate() docst…
Nov 9, 2024
5e789d8
Merge branch 'main' into improve-docs-interpolate
anishkarki Nov 10, 2024
122cb73
Update pandas/core/generic.py
anishkarki Nov 10, 2024
92ace21
Update pandas/core/generic.py
anishkarki Nov 10, 2024
79d8a03
Trigger CI
Nov 10, 2024
beb2cc6
Merge branch 'main' into improve-docs-interpolate
anishkarki Nov 11, 2024
d7106d8
Merge branch 'main' into improve-docs-interpolate
anishkarki Nov 11, 2024
e46a947
Trigger CI
Nov 10, 2024
61b34ec
Merge branch 'main' into improve-docs-interpolate
anishkarki Nov 12, 2024
a632b53
Merge branch 'main' into improve-docs-interpolate
anishkarki Nov 12, 2024
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8 changes: 6 additions & 2 deletions pandas/core/generic.py
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Expand Up @@ -7668,8 +7668,12 @@ def interpolate(
* 'linear': Ignore the index and treat the values as equally
spaced. This is the only method supported on MultiIndexes.
* 'time': Works on daily and higher resolution data to interpolate
given length of interval.
* 'index', 'values': use the actual numerical values of the index.
given length of interval. This interpolates values based on
time interval between observations.
* 'index': The interpolation uses the actual numerical values
of the df's index to linearly calculate missing value.
* 'value': Interpolation based on the actual numerical values
in the DataFrame, treating them as equally spaced along the index.
* 'nearest', 'zero', 'slinear', 'quadratic', 'cubic',
'barycentric', 'polynomial': Passed to
`scipy.interpolate.interp1d`, whereas 'spline' is passed to
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