pandas.Series.eq#

Series.eq(other, level=None, fill_value=None, axis=0)[source]#

Return Equal to of series and other, element-wise (binary operator eq).

Equivalent to series == other, but with support to substitute a fill_value for missing data in either one of the inputs.

Parameters:
otherobject

When a Series is provided, will align on indexes. For all other types, will behave the same as == but with possibly different results due to the other arguments.

levelint or name

Broadcast across a level, matching Index values on the passed MultiIndex level.

fill_valuescalar or None, default None

Fill NA values, whether present in the original data or introduced by alignment, with this value before computation. Positions where both inputs are NA are left unfilled and behave as NA does for the operation.

axis{0 or ‘index’}

Unused. Parameter needed for compatibility with DataFrame.

Returns:
Series

The result of the operation.

See also

Series.ge

Return elementwise Greater than or equal to of series and other.

Series.le

Return elementwise Less than or equal to of series and other.

Series.gt

Return elementwise Greater than of series and other.

Series.lt

Return elementwise Less than of series and other.

Examples

>>> a = pd.Series([1, 1, 1, np.nan], index=["a", "b", "c", "d"])
>>> a
a    1.0
b    1.0
c    1.0
d    NaN
dtype: float64
>>> b = pd.Series([1, np.nan, 1, np.nan], index=["a", "b", "d", "e"])
>>> b
a    1.0
b    NaN
d    1.0
e    NaN
dtype: float64
>>> a.eq(b, fill_value=0)
a     True
b    False
c    False
d    False
e    False
dtype: bool
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