class pandas.arrays.IntegerArray(values, mask, copy=False)
[source]
Array of integer (optional missing) values.
New in version 0.24.0.
Warning
IntegerArray is currently experimental, and its API or internal implementation may change without warning.
We represent an IntegerArray with 2 numpy arrays:
To construct an IntegerArray from generic array-like input, use pandas.array()
with one of the integer dtypes (see examples).
See Nullable integer data type for more.
Parameters: |
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Returns: |
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Create an IntegerArray with pandas.array()
.
>>> int_array = pd.array([1, None, 3], dtype=pd.Int32Dtype()) >>> int_array <IntegerArray> [1, NaN, 3] Length: 3, dtype: Int32
String aliases for the dtypes are also available. They are capitalized.
>>> pd.array([1, None, 3], dtype='Int32') <IntegerArray> [1, NaN, 3] Length: 3, dtype: Int32
>>> pd.array([1, None, 3], dtype='UInt16') <IntegerArray> [1, NaN, 3] Length: 3, dtype: UInt16
None |
None |
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.arrays.IntegerArray.html