healpy.projaxes.HpxMollweideAxes.bar

HpxMollweideAxes.bar(left, height, width=0.8, bottom=None, **kwargs)

Make a bar plot.

Make a bar plot with rectangles bounded by:

left, left + width, bottom, bottom + height

(left, right, bottom and top edges)

Parameters:

left : sequence of scalars

the x coordinates of the left sides of the bars

height : sequence of scalars

the heights of the bars

width : scalar or array-like, optional, default: 0.8

the width(s) of the bars

bottom : scalar or array-like, optional, default: None

the y coordinate(s) of the bars

color : scalar or array-like, optional

the colors of the bar faces

edgecolor : scalar or array-like, optional

the colors of the bar edges

linewidth : scalar or array-like, optional, default: None

width of bar edge(s). If None, use default linewidth; If 0, don’t draw edges.

xerr : scalar or array-like, optional, default: None

if not None, will be used to generate errorbar(s) on the bar chart

yerr :scalar or array-like, optional, default: None

if not None, will be used to generate errorbar(s) on the bar chart

ecolor : scalar or array-like, optional, default: None

specifies the color of errorbar(s)

capsize : integer, optional, default: 3

determines the length in points of the error bar caps

error_kw :

dictionary of kwargs to be passed to errorbar method. ecolor and capsize may be specified here rather than as independent kwargs.

align : [‘edge’ | ‘center’], optional, default: ‘edge’

If edge, aligns bars by their left edges (for vertical bars) and by their bottom edges (for horizontal bars). If center, interpret the left argument as the coordinates of the centers of the bars.

orientation : ‘vertical’ | ‘horizontal’, optional, default: ‘vertical’

The orientation of the bars.

log : boolean, optional, default: False

If true, sets the axis to be log scale

Returns:

matplotlib.patches.Rectangle instances.

Notes

The optional arguments color, edgecolor, linewidth, xerr, and yerr can be either scalars or sequences of length equal to the number of bars. This enables you to use bar as the basis for stacked bar charts, or candlestick plots. Detail: xerr and yerr are passed directly to errorbar(), so they can also have shape 2xN for independent specification of lower and upper errors.

Other optional kwargs:

agg_filter: unknown alpha: float or None animated: [True | False] antialiased or aa: [True | False] or None for default axes: an Axes instance clip_box: a matplotlib.transforms.Bbox instance clip_on: [True | False] clip_path: [ (Path, Transform) | Patch | None ] color: matplotlib color spec contains: a callable function edgecolor or ec: mpl color spec, or None for default, or ‘none’ for no color facecolor or fc: mpl color spec, or None for default, or ‘none’ for no color figure: a matplotlib.figure.Figure instance fill: [True | False] gid: an id string hatch: [‘/’ | ‘\’ | ‘|’ | ‘-‘ | ‘+’ | ‘x’ | ‘o’ | ‘O’ | ‘.’ | ‘*’] label: string or anything printable with ‘%s’ conversion. linestyle or ls: [‘solid’ | ‘dashed’ | ‘dashdot’ | ‘dotted’] linewidth or lw: float or None for default lod: [True | False] path_effects: unknown picker: [None|float|boolean|callable] rasterized: [True | False | None] sketch_params: unknown snap: unknown transform: Transform instance url: a url string visible: [True | False] zorder: any number

Example: A stacked bar chart.