Login Register

Categorical.array()

Categorical.__array__(dtype=None) [source]

The numpy array interface.

Returns:

values : numpy array

A numpy array of either the specified dtype or, if dtype==None (default), the same dtype as categorical.categories.dtype

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.Categorical.__array__.html

doc_Pandas

2025-01-10 15:47:30

Comments

Leave a Comment

Please login to continue.

Popular Articles

Categorical() class pandas.Categorical(values, categories=None, ordered=False, name=None, fastpath=False) [source] Represents a categorical variable in classic

Categorical Data New in version 0.15. Note While there was pandas.Categorical in earlier versions, the ability to use categorical data in Series and DataFrame is

CategoricalIndex.is_categorical() CategoricalIndex.is_categorical() [source]

DatetimeIndex.is_categorical() DatetimeIndex.is_categorical() [source]

array.array class array.array(typecode[, initializer]) A new array whose items are restricted by typecode, and initialized from the optional initializer value