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[DOC]: Method-chaining examples for fill.py #1079

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merged 6 commits into from
May 2, 2022
Merged

[DOC]: Method-chaining examples for fill.py #1079

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c371b43
Provided method-chaining usage examples.
Econundrums May 2, 2022
9543339
Method-chaining examples for fill.py
Econundrums May 2, 2022
aeb1832
Method-chaining examples for fill.py
Econundrums May 2, 2022
dd62161
Update janitor/functions/fill.py
ericmjl May 2, 2022
2a14c22
Update janitor/functions/fill.py
ericmjl May 2, 2022
0cdbdea
Update janitor/functions/fill.py
ericmjl May 2, 2022
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69 changes: 54 additions & 15 deletions janitor/functions/fill.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,16 +36,34 @@ def fill_direction(df: pd.DataFrame, **kwargs) -> pd.DataFrame:

Method-chaining usage syntax:

```python
import pandas as pd
import janitor as jn

df = pd.DataFrame(...)
.fill_direction(
column_1 = direction_1,
column_2 = direction_2,
)
```
>>> import pandas as pd
>>> import janitor as jn
>>> df = pd.DataFrame(
... {
... 'col1': [1, 2, 3, 4],
... 'col2': [None, 5, 6, 7],
... 'col3': [8, 9, 10, None],
... 'col4': [None, None, 11, None],
... 'col5': [None, 12, 13, None]
... }
... )
>>> df
col1 col2 col3 col4 col5
0 1 NaN 8.0 NaN NaN
1 2 5.0 9.0 NaN 12.0
2 3 6.0 10.0 11.0 13.0
3 4 7.0 NaN NaN NaN
>>> df.fill_direction(
... col2 = 'up',
... col3 = 'down',
... col4 = 'downup',
... col5 = 'updown'
... )
col1 col2 col3 col4 col5
0 1 5.0 8.0 11.0 12.0
1 2 5.0 9.0 11.0 12.0
2 3 6.0 10.0 11.0 13.0
3 4 7.0 10.0 11.0 13.0

:param df: A pandas DataFrame.
:param kwargs: Key - value pairs of columns and directions.
Expand Down Expand Up @@ -128,11 +146,32 @@ def fill_empty(

Method chaining syntax:

```python
import pandas as pd
import janitor
df = pd.DataFrame(...).fill_empty(column_names=col1, value=0)
```

>>> import pandas as pd
>>> import janitor
>>> df = pd.DataFrame(
... {
... 'col1': [1, 2, 3],
... 'col2': [None, 4, None ],
... 'col3': [None, 5, 6]
... }
... )
>>> df
col1 col2 col3
0 1 NaN NaN
1 2 4.0 5.0
2 3 NaN 6.0
>>> df.fill_empty(column_names = 'col2', value = 0)
col1 col2 col3
0 1 0.0 NaN
1 2 4.0 5.0
2 3 0.0 6.0
>>> df.fill_empty(column_names = ['col2', 'col3'], value = 0)
col1 col2 col3
0 1 0.0 0.0
1 2 4.0 5.0
2 3 0.0 6.0


:param df: A pandas DataFrame.
:param column_names: column_names: A column name or an iterable (list
Expand Down