Return Less than or equal to of series and other, \ element-wise (binary operator `le`). Equivalent to ``series <= other``, but with support to substitute a fill_value for missing data in either one of the inputs. Parameters ---------- other
(self, other, level=None, fill_value=None, axis: Axis = 0)
| 6959 | ) |
| 6960 | |
| 6961 | def le(self, other, level=None, fill_value=None, axis: Axis = 0) -> Series: |
| 6962 | """ |
| 6963 | Return Less than or equal to of series and other, \ |
| 6964 | element-wise (binary operator `le`). |
| 6965 | |
| 6966 | Equivalent to ``series <= other``, but with support to substitute a |
| 6967 | fill_value for missing data in either one of the inputs. |
| 6968 | |
| 6969 | Parameters |
| 6970 | ---------- |
| 6971 | other : object |
| 6972 | When a Series is provided, will align on indexes. For all other types, |
| 6973 | will behave the same as ``==`` but with possibly different results due |
| 6974 | to the other arguments. |
| 6975 | level : int or name |
| 6976 | Broadcast across a level, matching Index values on the |
| 6977 | passed MultiIndex level. |
| 6978 | fill_value : None or float value, default None (NaN) |
| 6979 | Fill existing missing (NaN) values, and any new element needed for |
| 6980 | successful Series alignment, with this value before computation. |
| 6981 | If data in both corresponding Series locations is missing |
| 6982 | the result of filling (at that location) will be missing. |
| 6983 | axis : {0 or 'index'} |
| 6984 | Unused. Parameter needed for compatibility with DataFrame. |
| 6985 | |
| 6986 | Returns |
| 6987 | ------- |
| 6988 | Series |
| 6989 | The result of the operation. |
| 6990 | |
| 6991 | See Also |
| 6992 | -------- |
| 6993 | Series.ge : Return elementwise Greater than or equal to of series and other. |
| 6994 | Series.lt : Return elementwise Less than of series and other. |
| 6995 | Series.gt : Return elementwise Greater than of series and other. |
| 6996 | Series.eq : Return elementwise equal to of series and other. |
| 6997 | |
| 6998 | Examples |
| 6999 | -------- |
| 7000 | >>> a = pd.Series([1, 1, 1, np.nan, 1], index=['a', 'b', 'c', 'd', 'e']) |
| 7001 | >>> a |
| 7002 | a 1.0 |
| 7003 | b 1.0 |
| 7004 | c 1.0 |
| 7005 | d NaN |
| 7006 | e 1.0 |
| 7007 | dtype: float64 |
| 7008 | >>> b = pd.Series([0, 1, 2, np.nan, 1], index=['a', 'b', 'c', 'd', 'f']) |
| 7009 | >>> b |
| 7010 | a 0.0 |
| 7011 | b 1.0 |
| 7012 | c 2.0 |
| 7013 | d NaN |
| 7014 | f 1.0 |
| 7015 | dtype: float64 |
| 7016 | >>> a.le(b, fill_value=0) |
| 7017 | a False |
| 7018 | b True |
nothing calls this directly
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