Panel.update()

Panel.update(other, join='left', overwrite=True, filter_func=None, raise_conflict=False) [source] Modify Panel in place using non-NA values from passed Panel, or object coercible to Panel. Aligns on items Parameters: other : Panel, or object coercible to Panel join : How to join individual DataFrames {?left?, ?right?, ?outer?, ?inner?}, default ?left? overwrite : boolean, default True If True then overwrite values for common keys in the calling panel filter_func : callable(1d-array) -&

DataFrameGroupBy.plot

DataFrameGroupBy.plot Class implementing the .plot attribute for groupby objects

CategoricalIndex.item()

CategoricalIndex.item() [source] return the first element of the underlying data as a python scalar

MultiIndex.is_floating()

MultiIndex.is_floating() [source]

CategoricalIndex.union()

CategoricalIndex.union(other) [source] Form the union of two Index objects and sorts if possible. Parameters: other : Index or array-like Returns: union : Index Examples >>> idx1 = pd.Index([1, 2, 3, 4]) >>> idx2 = pd.Index([3, 4, 5, 6]) >>> idx1.union(idx2) Int64Index([1, 2, 3, 4, 5, 6], dtype='int64')

CategoricalIndex.ravel()

CategoricalIndex.ravel(order='C') [source] return an ndarray of the flattened values of the underlying data See also numpy.ndarray.ravel

DatetimeIndex.name

DatetimeIndex.name = None

Series.dt.days

Series.dt.days Number of days for each element.

pandas.read_sql_query()

pandas.read_sql_query(sql, con, index_col=None, coerce_float=True, params=None, parse_dates=None, chunksize=None) [source] Read SQL query into a DataFrame. Returns a DataFrame corresponding to the result set of the query string. Optionally provide an index_col parameter to use one of the columns as the index, otherwise default integer index will be used. Parameters: sql : string SQL query or SQLAlchemy Selectable (select or text object) to be executed. con : SQLAlchemy connectable(engine

DataFrame.iterkv()

DataFrame.iterkv(*args, **kwargs) [source] iteritems alias used to get around 2to3. Deprecated