pandas.DataFrame.hist

DataFrame.hist(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)

Make a histogram of the DataFrame’s.

A histogram is a representation of the distribution of data. This function calls matplotlib.pyplot.hist(), on each series in the DataFrame, resulting in one histogram per column.

Parameters:

data : DataFrame

The pandas object holding the data.

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 True

Whether to show axis grid lines.

xlabelsize : int, default None

If specified changes the x-axis label size.

xrot : float, default None

Rotation of x axis labels. For example, a value of 90 displays the x labels rotated 90 degrees clockwise.

ylabelsize : int, default None

If specified changes the y-axis label size.

yrot : float, default None

Rotation of y axis labels. For example, a value of 90 displays the y labels rotated 90 degrees clockwise.

ax : Matplotlib axes object, default None

The axes to plot the histogram on.

sharex : boolean, default True if ax is None else False

In case subplots=True, share x axis and set some x axis labels to invisible; defaults to True if ax is None otherwise False if an ax is passed in. Note that passing in both an ax and sharex=True will alter all x axis labels for all subplots in a figure.

sharey : boolean, default False

In case subplots=True, share y axis and set some y axis labels to invisible.

figsize : tuple

The size in inches of the figure to create. Uses the value in matplotlib.rcParams by default.

layout : tuple, optional

Tuple of (rows, columns) for the layout of the histograms.

bins : integer or sequence, default 10

Number of histogram bins to be used. If an integer is given, bins + 1 bin edges are calculated and returned. If bins is a sequence, gives bin edges, including left edge of first bin and right edge of last bin. In this case, bins is returned unmodified.

**kwds

All other plotting keyword arguments to be passed to matplotlib.pyplot.hist().

Returns:

axes : matplotlib.AxesSubplot or numpy.ndarray of them

See also

matplotlib.pyplot.hist

Plot a histogram using matplotlib.

Examples

This example draws a histogram based on the length and width of some animals, displayed in three bins

>>> df = pd.DataFrame({
...     'length': [1.5, 0.5, 1.2, 0.9, 3],
...     'width': [0.7, 0.2, 0.15, 0.2, 1.1]
...     }, index= ['pig', 'rabbit', 'duck', 'chicken', 'horse'])
>>> hist = df.hist(bins=3)