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doc_Pandas
doc_Pandas


CategoricalIndex.is_integer()

CategoricalIndex.is_integer() [source]

CategoricalIndex.is_monotonic

CategoricalIndex.is_monotonic alias for is_monotonic_increasing (deprecated)

MultiIndex.lexsort_depth

MultiIndex.lexsort_depth = None

CategoricalIndex.values

CategoricalIndex.values return the underlying data, which is a Categorical

TimedeltaIndex.get_values()

TimedeltaIndex.get_values() [source] return the underlying data as an ndarray

CategoricalIndex.is_boolean()

CategoricalIndex.is_boolean() [source]

CategoricalIndex.argsort()

CategoricalIndex.argsort(*args, **kwargs) [source]

Series.loc

Series.loc Purely label-location based indexer for selection by label. .loc[] is primarily label based, but may also be used with a boolean array. Allowed inputs are: A single label, e.g. 5 or 'a', (note that 5 is interpreted as a label of the index, and never as an integer position along the index). A list or array of labels, e.g. ['a', 'b', 'c']. A slice object with labels, e.g. 'a':'f' (note that contrary to usual python slices, both the start and the stop are included!). A boolean array

DatetimeIndex.is_all_dates

DatetimeIndex.is_all_dates

CategoricalIndex.is_mixed()

CategoricalIndex.is_mixed() [source]

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