bigframes.pandas.DataFrame.le#

DataFrame.le(other: Any, axis: str | int = 'columns') → DataFrame[source]#

Get less than or equal to of dataframe and other, element-wise (binary operator <=).

Among flexible wrappers (eq, ne, le, lt, ge, gt) to comparison operators.

Equivalent to ==, !=, <=, <, >=, > with support to choose axis (rows or columns) and level for comparison.

Note

Mismatched indices will be unioned together. NaN values in floating point columns are considered different (i.e. NaN != NaN).

Examples:

You can use method name:

>>> df = bpd.DataFrame({'angles': [0, 3, 4],
...        'degrees': [360, 180, 360]},
...       index=['circle', 'triangle', 'rectangle'])
>>> df["degrees"].le(180)
circle       False
triangle      True
rectangle    False
Name: degrees, dtype: boolean

You can also use arithmetic operator <=:

>>> df["degrees"] <= 180
circle       False
triangle      True
rectangle    False
Name: degrees, dtype: boolean

Parameters:

• other (scalar, sequence, Series, or DataFrame) Any single or multiple element data structure, or list-like object.

• axis ({0 or 'index', 1 or 'columns'}, default 'columns') Whether to compare by the index (0 or index) or columns (1 or columns).

Returns:

DataFrame of bool. The result of the comparison.

Return type:

bigframes.pandas.DataFrame