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docs: add code samples for Series.ffill and DataFrame.ffill #307

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Jan 8, 2024
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docs: add code samples for Series.ffill and DataFrame.ffill #307

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docs: add code samples for Series.ffill and DataFrame.ffill
ashleyxuu Jan 6, 2024
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ashleyxuu Jan 8, 2024
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42 changes: 42 additions & 0 deletions third_party/bigframes_vendored/pandas/core/generic.py
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Original file line number Diff line number Diff line change
Expand Up @@ -627,6 +627,48 @@ def copy(self):
def ffill(self, *, limit: Optional[int] = None):
"""Fill NA/NaN values by propagating the last valid observation to next valid.

**Examples:**

>>> import bigframes.pandas as bpd
>>> import numpy as np
>>> bpd.options.display.progress_bar = None

>>> df = bpd.DataFrame([[np.nan, 2, np.nan, 0],
... [3, 4, np.nan, 1],
... [np.nan, np.nan, np.nan, np.nan],
... [np.nan, 3, np.nan, 4]],
... columns=list("ABCD")).astype("Float64")
>>> df
A B C D
0 <NA> 2.0 <NA> 0.0
1 3.0 4.0 <NA> 1.0
2 <NA> <NA> <NA> <NA>
3 <NA> 3.0 <NA> 4.0
<BLANKLINE>
[4 rows x 4 columns]

Fill NA/NaN values in DataFrames:

>>> df.ffill()
A B C D
0 <NA> 2.0 <NA> 0.0
1 3.0 4.0 <NA> 1.0
2 3.0 4.0 <NA> 1.0
3 3.0 3.0 <NA> 4.0
<BLANKLINE>
[4 rows x 4 columns]


Fill NA/NaN values in Series:

>>> series = bpd.Series([1, np.nan, 2, 3])
>>> series.ffill()
0 1.0
1 1.0
2 2.0
3 3.0
dtype: Float64

Args:
limit : int, default None
If method is specified, this is the maximum number of consecutive
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