cudf.CategoricalIndex.equals

CategoricalIndex.equals(other)

Test whether two objects contain the same elements.

This function allows two objects to be compared against each other to see if they have the same shape and elements. NaNs in the same location are considered equal. The column headers do not need to have the same type.

Parameters:

otherIndex, Series, DataFrame

The other object to be compared with.

Returns:

bool

True if all elements are the same in both objects, False otherwise.

Examples

>>> import cudf

Comparing Series with equals:

>>> s = cudf.Series([1, 2, 3])
>>> other = cudf.Series([1, 2, 3])
>>> s.equals(other)
True
>>> different = cudf.Series([1.5, 2, 3])
>>> s.equals(different)
False

Comparing DataFrames with equals:

>>> df = cudf.DataFrame({1: [10], 2: [20]})
>>> df
    1   2
0  10  20
>>> exactly_equal = cudf.DataFrame({1: [10], 2: [20]})
>>> exactly_equal
    1   2
0  10  20
>>> df.equals(exactly_equal)
True

For two DataFrames to compare equal, the types of column values must be equal, but the types of column labels need not:

>>> different_column_type = cudf.DataFrame({1.0: [10], 2.0: [20]})
>>> different_column_type
   1.0  2.0
0   10   20
>>> df.equals(different_column_type)
True