matplotlib.pyplot.fill_betweenx#

matplotlib.pyplot.fill_betweenx(y, x1, x2=0, where=None, step=None, interpolate=False, *, data=None, **kwargs)[source]#

Fill the area between two vertical curves.

The curves are defined by the points (y, x1) and (y, x2). This creates one or multiple polygons describing the filled area.

You may exclude some vertical sections from filling using where.

By default, the edges connect the given points directly. Use step if the filling should be a step function, i.e. constant in between y.

Parameters:
yarray (length N)

The y coordinates of the nodes defining the curves.

x1array (length N) or scalar

The x coordinates of the nodes defining the first curve.

x2array (length N) or scalar, default: 0

The x coordinates of the nodes defining the second curve.

wherearray of bool (length N), optional

Define where to exclude some vertical regions from being filled. The filled regions are defined by the coordinates y[where]. More precisely, fill between y[i] and y[i+1] if where[i] and where[i+1]. Note that this definition implies that an isolated True value between two False values in where will not result in filling. Both sides of the True position remain unfilled due to the adjacent False values.

interpolatebool, default: False

This option is only relevant if where is used and the two curves are crossing each other.

Semantically, where is often used for x1 > x2 or similar. By default, the nodes of the polygon defining the filled region will only be placed at the positions in the y array. Such a polygon cannot describe the above semantics close to the intersection. The y-sections containing the intersection are simply clipped.

Setting interpolate to True will calculate the actual intersection point and extend the filled region up to this point.

step{'pre', 'post', 'mid'}, optional

Define step if the filling should be a step function, i.e. constant in between y. The value determines where the step will occur:

  • 'pre': The y value is continued constantly to the left from every x position, i.e. the interval (x[i-1], x[i]] has the value y[i].

  • 'post': The y value is continued constantly to the right from every x position, i.e. the interval [x[i], x[i+1]) has the value y[i].

  • 'mid': Steps occur half-way between the x positions.

Returns:
PolyCollection

A PolyCollection containing the plotted polygons.

Other Parameters:
dataindexable object, optional

If given, the following parameters also accept a string s, which is interpreted as data[s] (unless this raises an exception):

y, x1, x2, where

**kwargs

All other keyword arguments are passed on to PolyCollection. They control the Polygon properties:

Property

Description

agg_filter

a filter function, which takes a (m, n, 3) float array and a dpi value, and returns a (m, n, 3) array and two offsets from the bottom left corner of the image

alpha

array-like or scalar or None

animated

bool

antialiased or aa or antialiaseds

bool or list of bools

array

array-like or None

capstyle

CapStyle or {'butt', 'projecting', 'round'}

clim

(vmin: float, vmax: float)

clip_box

BboxBase or None

clip_on

bool

clip_path

Patch or (Path, Transform) or None

cmap

Colormap or str or None

color

color or list of RGBA tuples

edgecolor or ec or edgecolors

color or list of colors or 'face'

facecolor or facecolors or fc

color or list of colors

figure

Figure

gid

str

hatch

{'/', '\', '|', '-', '+', 'x', 'o', 'O', '.', '*'}

in_layout

bool

joinstyle

JoinStyle or {'miter', 'round', 'bevel'}

label

object

linestyle or dashes or linestyles or ls

str or tuple or list thereof

linewidth or linewidths or lw

float or list of floats

mouseover

bool

norm

Normalize or str or None

offset_transform or transOffset

Transform

offsets

(N, 2) or (2,) array-like

path_effects

list of AbstractPathEffect

paths

list of array-like

picker

None or bool or float or callable

pickradius

float

rasterized

bool

sizes

numpy.ndarray or None

sketch_params

(scale: float, length: float, randomness: float)

snap

bool or None

transform

Transform

url

str

urls

list of str or None

verts

list of array-like

verts_and_codes

unknown

visible

bool

zorder

float

See also

fill_between

Fill between two sets of y-values.

fill_betweenx

Fill between two sets of x-values.

Examples using matplotlib.pyplot.fill_betweenx#

Hatch-filled histograms

Hatch-filled histograms