bigframes.pandas.Series.get

Series.get(key, default=None)

Get item from object for given key (ex: DataFrame column).

Returns default value if not found.

Examples:

>>> df = bpd.DataFrame(
...     [
...         [24.3, 75.7, "high"],
...         [31, 87.8, "high"],
...         [22, 71.6, "medium"],
...         [35, 95, "medium"],
...     ],
...     columns=["temp_celsius", "temp_fahrenheit", "windspeed"],
...     index=["2014-02-12", "2014-02-13", "2014-02-14", "2014-02-15"],
... )
>>> df
            temp_celsius  temp_fahrenheit windspeed
2014-02-12          24.3             75.7      high
2014-02-13          31.0             87.8      high
2014-02-14          22.0             71.6    medium
2014-02-15          35.0             95.0    medium

[4 rows x 3 columns]

>>> df.get(["temp_celsius", "windspeed"])
            temp_celsius windspeed
2014-02-12          24.3      high
2014-02-13          31.0      high
2014-02-14          22.0    medium
2014-02-15          35.0    medium

[4 rows x 2 columns]

>>> ser = df['windspeed']
>>> ser
2014-02-12      high
2014-02-13      high
2014-02-14    medium
2014-02-15    medium
Name: windspeed, dtype: string
>>> ser.get('2014-02-13')
'high'

If the key is not found, the default value will be used.

>>> df.get(["temp_celsius", "temp_kelvin"])
>>> df.get(["temp_celsius", "temp_kelvin"], default="default_value")
'default_value'

Parameters:

key – object

Returns:

same type as items contained in object

Return type:

Any