cudf.DataFrame.ge#

DataFrame.ge(other, axis='columns', level=None, fill_value=None)#

Greater than or equal, element-wise (binary operator ge).

Parameters

otherSeries or scalar value
fill_valueNone or value: Value to fill nulls with before computation. If data in both corresponding Series locations is null the result will be null

Returns

Frame: The result of the operation.

Examples

DataFrame

>>> left = cudf.DataFrame({
...     'a': [1, 2, 3],
...     'b': [4, 5, 6],
...     'c': [7, 8, 9]}
... )
>>> right = cudf.DataFrame({
...     'a': [1, 2, 3],
...     'b': [4, 5, 6],
...     'd': [10, 12, 12]}
... )
>>> left.ge(right)
      a     b     c     d
0  True  True  <NA>  <NA>
1  True  True  <NA>  <NA>
2  True  True  <NA>  <NA>
>>> left.ge(right, fill_value=7)
      a     b     c      d
0  True  True  True  False
1  True  True  True  False
2  True  True  True  False

Series

>>> a = cudf.Series([1, 2, 3, None, 10, 20],
...                 index=['a', 'c', 'd', 'e', 'f', 'g'])
>>> a
a       1
c       2
d       3
e    <NA>
f      10
g      20
dtype: int64
>>> b = cudf.Series([-10, 23, -1, None, None],
...                 index=['a', 'b', 'c', 'd', 'e'])
>>> b
a     -10
b      23
c      -1
d    <NA>
e    <NA>
dtype: int64
>>> a.ge(b)
a     True
b    False
c     True
d    False
e    False
f    False
g    False
dtype: bool

cudf.DataFrame.le

cudf.DataFrame.ne