DatetimeIndex.month

DatetimeIndex.month The month as January=1, December=12

DataFrame()

class pandas.DataFrame(data=None, index=None, columns=None, dtype=None, copy=False) [source] Two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). Arithmetic operations align on both row and column labels. Can be thought of as a dict-like container for Series objects. The primary pandas data structure Parameters: data : numpy ndarray (structured or homogeneous), dict, or DataFrame Dict can contain Series, arrays, constants, or

Index.nlevels

Index.nlevels

DatetimeIndex.weekday_name

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

pandas.merge()

pandas.merge(left, right, how='inner', on=None, left_on=None, right_on=None, left_index=False, right_index=False, sort=False, suffixes=('_x', '_y'), copy=True, indicator=False) [source] Merge DataFrame objects by performing a database-style join operation by columns or indexes. If joining columns on columns, the DataFrame indexes will be ignored. Otherwise if joining indexes on indexes or indexes on a column or columns, the index will be passed on. Parameters: left : DataFrame right : Data

Resampler.backfill()

Resampler.backfill(limit=None) [source] Backward fill the values Parameters: limit : integer, optional limit of how many values to fill See also Series.fillna, DataFrame.fillna

MultiIndex.intersection()

MultiIndex.intersection(other) [source] Form the intersection of two MultiIndex objects, sorting if possible Parameters: other : MultiIndex or array / Index of tuples Returns: Index

Series.replace()

Series.replace(to_replace=None, value=None, inplace=False, limit=None, regex=False, method='pad', axis=None) [source] Replace values given in ?to_replace? with ?value?. Parameters: to_replace : str, regex, list, dict, Series, numeric, or None str or regex: str: string exactly matching to_replace will be replaced with value regex: regexs matching to_replace will be replaced with value list of str, regex, or numeric: First, if to_replace and value are both lists, they must be the sam

Index.is_monotonic

Index.is_monotonic alias for is_monotonic_increasing (deprecated)

CategoricalIndex.as_unordered()

CategoricalIndex.as_unordered(*args, **kwargs) [source] Sets the Categorical to be unordered Parameters: inplace : boolean (default: False) Whether or not to set the ordered attribute inplace or return a copy of this categorical with ordered set to False