DataFrame.iloc Purely integer-location based indexing for selection by position. .iloc[] is primarily integer position based (from 0 to length-1 of the axis), but may also be used with a boolean array. Allowed inputs are: An integer, e.g. 5. A list or array of integers, e.g. [4, 3, 0]. A slice object with ints, e.g. 1:7. A boolean array. A callable function with one argument (the calling Series, DataFrame or Panel) and that returns valid output for indexing (one of the above) .iloc will rai

DataFrame.iget_value(i, j) [source] DEPRECATED. Use .iat[i, j] instead

DataFrame.idxmin(axis=0, skipna=True) [source] Return index of first occurrence of minimum over requested axis. NA/null values are excluded. Parameters: axis : {0 or ?index?, 1 or ?columns?}, default 0 0 or ?index? for row-wise, 1 or ?columns? for column-wise skipna : boolean, default True Exclude NA/null values. If an entire row/column is NA, the result will be NA Returns: idxmin : Series See also Series.idxmin Notes This method is the DataFrame version of ndarray.argmin.

DataFrame.idxmax(axis=0, skipna=True) [source] Return index of first occurrence of maximum over requested axis. NA/null values are excluded. Parameters: axis : {0 or ?index?, 1 or ?columns?}, default 0 0 or ?index? for row-wise, 1 or ?columns? for column-wise skipna : boolean, default True Exclude NA/null values. If an entire row/column is NA, the result will be first index. Returns: idxmax : Series See also Series.idxmax Notes This method is the DataFrame version of ndarray.argma

DataFrame.iat Fast integer location scalar accessor. Similarly to iloc, iat provides integer based lookups. You can also set using these indexers.

DataFrame.hist(data, column=None, by=None, grid=True, xlabelsize=None, xrot=None, ylabelsize=None, yrot=None, ax=None, sharex=False, sharey=False, figsize=None, layout=None, bins=10, **kwds) [source] Draw histogram of the DataFrame?s series using matplotlib / pylab. Parameters: data : DataFrame column : string or sequence If passed, will be used to limit data to a subset of columns by : object, optional If passed, then used to form histograms for separate groups grid : boolean, default

DataFrame.icol(i) [source] DEPRECATED. Use .iloc[:, i] instead

DataFrame.gt(other, axis='columns', level=None) [source] Wrapper for flexible comparison methods gt

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

DataFrame.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 us