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# pandas.Series.eq

Series.eq(other, level=None, fill_value=None, axis=0)

  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:
    other object

      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.

    level int or name

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

    fill_value None or float value, default None (NaN)

      Fill existing missing (NaN) values, and any new element needed for successful Series alignment, with this value before computation. If data in both corresponding Series locations is missing the result of filling (at that location) will be missing.

    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