pandas 1.4.2

ParametersReturns
hist_series(self, by=None, ax=None, grid: 'bool' = True, xlabelsize: 'int | None' = None, xrot: 'float | None' = None, ylabelsize: 'int | None' = None, yrot: 'float | None' = None, figsize: 'tuple[int, int] | None' = None, bins: 'int | Sequence[int]' = 10, backend: 'str | None' = None, legend: 'bool' = False, **kwargs)

Parameters

by : object, optional

If passed, then used to form histograms for separate groups.

ax : matplotlib axis object

If not passed, uses gca().

grid : bool, 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.

ylabelsize : int, default None

If specified changes the y-axis label size.

yrot : float, default None

Rotation of y axis labels.

figsize : tuple, default None

Figure size in inches by default.

bins : int 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.

backend : str, default None

Backend to use instead of the backend specified in the option plotting.backend . For instance, 'matplotlib'. Alternatively, to specify the plotting.backend for the whole session, set pd.options.plotting.backend .

versionadded
legend : bool, default False

Whether to show the legend.

versionadded
**kwargs :

To be passed to the actual plotting function.

Returns

matplotlib.AxesSubplot

A histogram plot.

Draw histogram of the input series using matplotlib.

See Also

matplotlib.axes.Axes.hist

Plot a histogram using matplotlib.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


File: /pandas/plotting/_core.py#33
type: <class 'function'>
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