bar(self, x, height, width=0.8, bottom=None, *, align='center', data=None, **kwargs)
The bars are positioned at x with the given align\ment. Their dimensions are given by height and width. The vertical baseline is bottom (default 0).
Many parameters can take either a single value applying to all bars or a sequence of values, one for each bar.
Stacked bars can be achieved by passing individual bottom values per bar. See /gallery/lines_bars_and_markers/bar_stacked
.
The colors of the bar faces.
The colors of the bar edges.
Width of the bar edge(s). If 0, don't draw edges.
The tick labels of the bars. Default: None (Use default numeric labels.)
If not None, add horizontal / vertical errorbars to the bar tips. The values are +/- sizes relative to the data:
scalar: symmetric +/- values for all bars
shape(N,): symmetric +/- values for each bar
shape(2, N): Separate - and + values for each bar. First row contains the lower errors, the second row contains the upper errors.
None: No errorbar. (Default)
See /gallery/statistics/errorbar_features
for an example on the usage of xerr
and yerr
.
The line color of the errorbars.
The length of the error bar caps in points.
Dictionary of kwargs to be passed to the ~.Axes.errorbar
method. Values of ecolor or capsize defined here take precedence over the independent kwargs.
If True, set the y-axis to be log scale.
If given, all parameters also accept a string s
, which is interpreted as data[s]
(unless this raises an exception).
agg_filter: a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array alpha: scalar or None angle: unknown animated: bool antialiased or aa: bool or None bounds: (left, bottom, width, height) capstyle: .CapStyle
or {'butt', 'projecting', 'round'} clip_box: .Bbox
clip_on: bool clip_path: Patch or (Path, Transform) or None color: color edgecolor or ec: color or None facecolor or fc: color or None figure: .Figure
fill: bool gid: str hatch: {'/', '\\', '|', '-', '+', 'x', 'o', 'O', '.', '*'} height: unknown in_layout: bool joinstyle: .JoinStyle
or {'miter', 'round', 'bevel'} label: object linestyle or ls: {'-', '--', '-.', ':', '', (offset, on-off-seq), ...} linewidth or lw: float or None path_effects: .AbstractPathEffect
picker: None or bool or float or callable rasterized: bool sketch_params: (scale: float, length: float, randomness: float) snap: bool or None transform: .Transform
url: str visible: bool width: unknown x: unknown xy: (float, float) y: unknown zorder: float
The x coordinates of the bars. See also align for the alignment of the bars to the coordinates.
The height(s) of the bars.
The width(s) of the bars.
The y coordinate(s) of the bars bases.
Alignment of the bars to the x coordinates:
'center': Center the base on the x positions.
'edge': Align the left edges of the bars with the x positions.
To align the bars on the right edge pass a negative width and align='edge'
.
Container with all the bars and optionally errorbars.
Make a bar plot.
barh
Plot a horizontal bar plot.
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.container.BarContainer
matplotlib.axes._axes.Axes.barh
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