Categorize¶
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class
numcodecs.categorize.
Categorize
(labels, dtype, astype='u1')¶ Filter encoding categorical string data as integers.
Parameters: labels : sequence of strings
Category labels.
dtype : dtype
Data type to use for decoded data.
astype : dtype, optional
Data type to use for encoded data.
Examples
>>> import numcodecs >>> import numpy as np >>> x = np.array(['male', 'female', 'female', 'male', 'unexpected'], dtype=object) >>> x array(['male', 'female', 'female', 'male', 'unexpected'], dtype=object) >>> codec = numcodecs.Categorize(labels=['female', 'male'], dtype=object) >>> y = codec.encode(x) >>> y array([2, 1, 1, 2, 0], dtype=uint8) >>> z = codec.decode(y) >>> z array(['male', 'female', 'female', 'male', ''], dtype=object)
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codec_id
= 'categorize'¶
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encode
(buf)¶
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decode
(buf, out=None)¶
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get_config
()¶
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from_config
(config)¶ Instantiate codec from a configuration object.
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