DatetimeIndex.weekofyear

DatetimeIndex.weekofyear The week ordinal of the year

DatetimeIndex.weekday_name

DatetimeIndex.weekday_name The name of day in a week (ex: Friday) New in version 0.18.1.

DatetimeIndex.weekday

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

DatetimeIndex.week

DatetimeIndex.week The week ordinal of the year

DatetimeIndex.view()

DatetimeIndex.view(cls=None) [source]

DatetimeIndex.value_counts()

DatetimeIndex.value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True) [source] Returns object containing counts of unique values. The resulting object will be in descending order so that the first element is the most frequently-occurring element. Excludes NA values by default. Parameters: normalize : boolean, default False If True then the object returned will contain the relative frequencies of the unique values. sort : boolean, default True Sort by values as

DatetimeIndex.values

DatetimeIndex.values return the underlying data as an ndarray

DatetimeIndex.unique()

DatetimeIndex.unique() [source] Return Index of unique values in the object. Significantly faster than numpy.unique. Includes NA values. The order of the original is preserved. Returns: uniques : Index

DatetimeIndex.union_many()

DatetimeIndex.union_many(others) [source] A bit of a hack to accelerate unioning a collection of indexes

DatetimeIndex.union()

DatetimeIndex.union(other) [source] Specialized union for DatetimeIndex objects. If combine overlapping ranges with the same DateOffset, will be much faster than Index.union Parameters: other : DatetimeIndex or array-like Returns: y : Index or DatetimeIndex