DatetimeIndex.is_leap_year

DatetimeIndex.is_leap_year Logical indicating if the date belongs to a leap year

DatetimeIndex.is_integer()

DatetimeIndex.is_integer() [source]

DatetimeIndex.is_floating()

DatetimeIndex.is_floating() [source]

DatetimeIndex.is_categorical()

DatetimeIndex.is_categorical() [source]

DatetimeIndex.is_boolean()

DatetimeIndex.is_boolean() [source]

DatetimeIndex.is_all_dates

DatetimeIndex.is_all_dates

DatetimeIndex.is_()

DatetimeIndex.is_(other) [source] More flexible, faster check like is but that works through views Note: this is not the same as Index.identical(), which checks that metadata is also the same. Parameters: other : object other object to compare against. Returns: True if both have same underlying data, False otherwise : bool

DatetimeIndex.isin()

DatetimeIndex.isin(values) [source] Compute boolean array of whether each index value is found in the passed set of values Parameters: values : set or sequence of values Returns: is_contained : ndarray (boolean dtype)

DatetimeIndex.intersection()

DatetimeIndex.intersection(other) [source] Specialized intersection for DatetimeIndex objects. May be much faster than Index.intersection Parameters: other : DatetimeIndex or array-like Returns: y : Index or DatetimeIndex

DatetimeIndex.insert()

DatetimeIndex.insert(loc, item) [source] Make new Index inserting new item at location Parameters: loc : int item : object if not either a Python datetime or a numpy integer-like, returned Index dtype will be object rather than datetime. Returns: new_index : Index