Series.hist(by=None, ax=None, grid=True, xlabelsize=None, xrot=None, ylabelsize=None, yrot=None, figsize=None, bins=10, **kwds) [source] Draw histogram of the input series using matplotlib Parameters: by : object, optional If passed, then used to form histograms for separate groups ax : matplotlib axis object If not passed, uses gca() grid : boolean, default True Whether to show axis grid lines xlabelsize : int, default None If specified changes the x-axis label size xrot : float,

Series.idxmax(axis=None, skipna=True, *args, **kwargs) [source] Index of first occurrence of maximum of values. Parameters: skipna : boolean, default True Exclude NA/null values Returns: idxmax : Index of maximum of values See also DataFrame.idxmax, numpy.ndarray.argmax Notes This method is the Series version of ndarray.argmax.

Series.head(n=5) [source] Returns first n rows

Series.gt(other, level=None, fill_value=None, axis=0) [source] Greater than of series and other, element-wise (binary operator gt). Equivalent to series > other, but with support to substitute a fill_value for missing data in one of the inputs. Parameters: other: Series or scalar value fill_value : None or float value, default None (NaN) Fill missing (NaN) values with this value. If both Series are missing, the result will be missing level : int or name Broadcast across a level, matc

Series.hasnans = None

Series.groupby(by=None, axis=0, level=None, as_index=True, sort=True, group_keys=True, squeeze=False, **kwargs) [source] Group series using mapper (dict or key function, apply given function to group, return result as series) or by a series of columns. Parameters: by : mapping function / list of functions, dict, Series, or tuple / list of column names. Called on each element of the object index to determine the groups. If a dict or Series is passed, the Series or dict VALUES will be used

Series.get_values() [source] same as values (but handles sparseness conversions); is a view

Series.get_value(label, takeable=False) [source] Quickly retrieve single value at passed index label Parameters: index : label takeable : interpret the index as indexers, default False Returns: value : scalar value

Series.get_dtype_counts() [source] Return the counts of dtypes in this object.

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