MultiIndex.argmin(axis=None) [source] return a ndarray of the minimum argument indexer See also numpy.ndarray.argmin

pandas.date_range(start=None, end=None, periods=None, freq='D', tz=None, normalize=False, name=None, closed=None, **kwargs) [source] Return a fixed frequency datetime index, with day (calendar) as the default frequency Parameters: start : string or datetime-like, default None Left bound for generating dates end : string or datetime-like, default None Right bound for generating dates periods : integer or None, default None If None, must specify start and end freq : string or DateOffse

Panel4D.pow(other, axis=0) [source] Exponential power of series and other, element-wise (binary operator pow). Equivalent to panel ** other. Parameters: other : Panel or Panel4D axis : {labels, items, major_axis, minor_axis} Axis to broadcast over Returns: Panel4D See also Panel4D.rpow

TimedeltaIndex.get_slice_bound(label, side, kind) [source] Calculate slice bound that corresponds to given label. Returns leftmost (one-past-the-rightmost if side=='right') position of given label. Parameters: label : object side : {?left?, ?right?} kind : {?ix?, ?loc?, ?getitem?}

CategoricalIndex.nunique(dropna=True) [source] Return number of unique elements in the object. Excludes NA values by default. Parameters: dropna : boolean, default True Don?t include NaN in the count. Returns: nunique : int

TimedeltaIndex.summary(name=None) [source] return a summarized representation

CategoricalIndex.set_value(arr, key, value) [source] Fast lookup of value from 1-dimensional ndarray. Only use this if you know what you?re doing

Panel4D.rtruediv(other, axis=0) [source] Floating division of series and other, element-wise (binary operator rtruediv). Equivalent to other / panel. Parameters: other : Panel or Panel4D axis : {labels, items, major_axis, minor_axis} Axis to broadcast over Returns: Panel4D See also Panel4D.truediv

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

DataFrame.to_stata(fname, convert_dates=None, write_index=True, encoding='latin-1', byteorder=None, time_stamp=None, data_label=None, variable_labels=None) [source] A class for writing Stata binary dta files from array-like objects Parameters: fname : str or buffer String path of file-like object convert_dates : dict Dictionary mapping columns containing datetime types to stata internal format to use when wirting the dates. Options are ?tc?, ?td?, ?tm?, ?tw?, ?th?, ?tq?, ?ty?. Column ca