Series.dot(other) [source] Matrix multiplication with DataFrame or inner-product with Series objects Parameters: other : Series or DataFrame Returns: dot_product : scalar or Series

TimedeltaIndex.nbytes return the number of bytes in the underlying data

DataFrame.reset_index(level=None, drop=False, inplace=False, col_level=0, col_fill='') [source] For DataFrame with multi-level index, return new DataFrame with labeling information in the columns under the index names, defaulting to ?level_0?, ?level_1?, etc. if any are None. For a standard index, the index name will be used (if set), otherwise a default ?index? or ?level_0? (if ?index? is already taken) will be used. Parameters: level : int, str, tuple, or list, default None Only remove

Panel4D.reindex_axis(labels, axis=0, method=None, level=None, copy=True, limit=None, fill_value=nan) [source] Conform input object to new index with optional filling logic, placing NA/NaN in locations having no value in the previous index. A new object is produced unless the new index is equivalent to the current one and copy=False Parameters: labels : array-like New labels / index to conform to. Preferably an Index object to avoid duplicating data axis : {0, 1, 2, ?items?, ?major_axis?,

Series.dt.is_year_start Logical indicating if first day of year (defined by frequency)

Series.get_ftype_counts() [source] Return the counts of ftypes in this object.

DataFrame.get(key, default=None) [source] Get item from object for given key (DataFrame column, Panel slice, etc.). Returns default value if not found. Parameters: key : object Returns: value : type of items contained in object

DataFrame.set_index(keys, drop=True, append=False, inplace=False, verify_integrity=False) [source] Set the DataFrame index (row labels) using one or more existing columns. By default yields a new object. Parameters: keys : column label or list of column labels / arrays drop : boolean, default True Delete columns to be used as the new index append : boolean, default False Whether to append columns to existing index inplace : boolean, default False Modify the DataFrame in place (do not

DatetimeIndex.shift(n, freq=None) [source] Specialized shift which produces a DatetimeIndex Parameters: n : int Periods to shift by freq : DateOffset or timedelta-like, optional Returns: shifted : DatetimeIndex

Index.str() [source] Vectorized string functions for Series and Index. NAs stay NA unless handled otherwise by a particular method. Patterned after Python?s string methods, with some inspiration from R?s stringr package. Examples >>> s.str.split('_') >>> s.str.replace('_', '')