DatetimeIndex.dtype = None

DatetimeIndex.drop_duplicates(*args, **kwargs) [source] Return Index with duplicate values removed Parameters: keep : {?first?, ?last?, False}, default ?first? first : Drop duplicates except for the first occurrence. last : Drop duplicates except for the last occurrence. False : Drop all duplicates. take_last : deprecated Returns: deduplicated : Index

DatetimeIndex.dropna(how='any') [source] Return Index without NA/NaN values Parameters: how : {?any?, ?all?}, default ?any? If the Index is a MultiIndex, drop the value when any or all levels are NaN. Returns: valid : Index

DatetimeIndex.difference(other) [source] Return a new Index with elements from the index that are not in other. This is the set difference of two Index objects. It?s sorted if sorting is possible. Parameters: other : Index or array-like Returns: difference : Index Examples >>> idx1 = pd.Index([1, 2, 3, 4]) >>> idx2 = pd.Index([3, 4, 5, 6]) >>> idx1.difference(idx2) Int64Index([1, 2], dtype='int64')

DatetimeIndex.drop(labels, errors='raise') [source] Make new Index with passed list of labels deleted Parameters: labels : array-like errors : {?ignore?, ?raise?}, default ?raise? If ?ignore?, suppress error and existing labels are dropped. Returns: dropped : Index

DatetimeIndex.delete(loc) [source] Make a new DatetimeIndex with passed location(s) deleted. Parameters: loc: int, slice or array of ints Indicate which sub-arrays to remove. Returns: new_index : DatetimeIndex

DatetimeIndex.days_in_month The number of days in the month New in version 0.16.0.

DatetimeIndex.daysinmonth The number of days in the month New in version 0.16.0.

DatetimeIndex.dayofweek The day of the week with Monday=0, Sunday=6

DatetimeIndex.day The days of the datetime