pandas.arrays.IntegerArray

class pandas.arrays.IntegerArray(values, mask, copy=False)

Array of integer (optional missing) values.

We represent an IntegerArray with 2 numpy arrays:

• data: contains a numpy integer array of the appropriate dtype
• mask: a boolean array holding a mask on the data, True is missing

To construct an IntegerArray from generic array-like input, use integer_array function instead.

Parameters:

values : integer 1D numpy array

mask : boolean 1D numpy array

copy : bool, default False

Returns:

IntegerArray

Attributes

nbytes	The number of bytes needed to store this object in memory.
ndim	Extension Arrays are only allowed to be 1-dimensional.
shape	Return a tuple of the array dimensions.

dtype

Methods

argsort([ascending, kind])	Return the indices that would sort this array.
astype(dtype[, copy])	Cast to a NumPy array or IntegerArray with ‘dtype’.
copy([deep])	Return a copy of the array.
dropna()	Return ExtensionArray without NA values
factorize([na_sentinel])	Encode the extension array as an enumerated type.
fillna([value, method, limit])	Fill NA/NaN values using the specified method.
isna()	A 1-D array indicating if each value is missing.
repeat(repeats[, axis])	Repeat elements of a ExtensionArray.
searchsorted(value[, side, sorter])	Find indices where elements should be inserted to maintain order.
shift([periods, fill_value])	Shift values by desired number.
take(indexer[, allow_fill, fill_value])	Take elements from an array.
unique()	Compute the ExtensionArray of unique values.
value_counts([dropna])	Returns a Series containing counts of each category.