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)
If passed, then used to form histograms for separate groups.
If not passed, uses gca().
Whether to show axis grid lines.
If specified changes the x-axis label size.
Rotation of x axis labels.
If specified changes the y-axis label size.
Rotation of y axis labels.
Figure size in inches by default.
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 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
.
Whether to show the legend.
To be passed to the actual plotting function.
A histogram plot.
Draw histogram of the input series using matplotlib.
matplotlib.axes.Axes.hist
Plot a histogram using matplotlib.
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