3. patsy.categorical¶
3.1. Functions¶
C(data[, contrast, levels]) |
Marks some data as being categorical, and specifies how to interpret it. |
assert_no_pickling(obj) |
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categorical_to_int(data, levels, NA_action) |
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guess_categorical(data) |
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iterable(obj) |
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no_pickling(*args, **kwargs) |
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pandas_Categorical_categories(cat) |
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pandas_Categorical_codes(cat) |
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pandas_Categorical_from_codes(codes, categories) |
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safe_is_pandas_categorical(data) |
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safe_issubdtype(dt1, dt2) |
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safe_scalar_isnan(x) |
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test_C() |
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test_CategoricalSniffer() |
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test_categorical_to_int() |
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test_guess_categorical() |
3.3. Exceptions¶
PatsyError(message[, origin]) |
This is the main error type raised by Patsy functions. |