Last Updated : 27 Apr, 2020
Summarize
Comments
Improve
Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack.
matplotlib.patches.PathPatch
The matplotlib.patches.PathPatch class used to draw general polycurve path patch.
Syntax: class matplotlib.patches.PathPatch(path, **kwargs)
Parameter:
- path: path is a
matplotlib.path.Pathobject.
The below tables gives the list of valid kwargs arguments:
| PROPERTY | DESCRIPTION |
|---|---|
| agg_filter | a filter function that takes a (m, n, 3) float array and a dpi value that returns a (m, n, 3) array |
| alpha | float or None |
| animated | bool |
| antialiased or aa | unknown |
| capstyle | {‘butt’, ’round’, ‘projecting’} |
| clip_box | Bbox |
| clip_on | bool |
| clip_path | [(Path, Transform)|Patch|None] |
| color | color or sequence of rgba tuples |
| contains | callable |
| edgecolor or ec or edgecolors | color or None or ‘auto’ |
| facecolor or fc or facecolors | color or None |
| figure | figure |
| fill | bool |
| gid | str |
| hatch | {‘/’, ‘\’, ‘|’, ‘-‘, ‘+’, ‘x’, ‘o’, ‘O’, ‘.’, ‘*’} |
| in_layout | bool |
| joinstyle | {‘miter’, ’round’, ‘bevel’} |
| linestyle or ls | {‘-‘, ‘–‘, ‘-.’, ‘:’, ”, (offset, on-off-seq), …} |
| linewidth or linewidths or lw | float or None |
| path_effects | AbstractPathEffect |
| picker | None or bool or float or callable |
| path_effects | AbstractPathEffect |
| picker | float or callable[[Artist, Event], Tuple[bool, dict]] |
| rasterized | bool or None |
| sketch_params | (scale: float, length: float, randomness: float) |
| snap | bool or None |
| transform | matplotlib.transforms.Transform |
| url | str |
| visible | bool |
| zorder | float |
Example 1:
import numpy as np
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
from matplotlib.path import Path
from matplotlib.patches import PathPatch
delta = 0.025
x = y = np.arange(-3.0, 3.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = np.exp(-X**2 - Y**2)
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
Z = (Z1 - Z2) * 2
path = Path([[0, 1], [1, 0], [0, -1], [-1, 0], [0, 1]])
patch = PathPatch(path, facecolor ='none')
fig, ax = plt.subplots()
ax.add_patch(patch)
im = ax.imshow(Z, interpolation ='bilinear', cmap = cm.gray,
origin ='lower', extent =[-3, 3, -3, 3],
clip_path = patch, clip_on = True)
im.set_clip_path(patch)
plt.show()
Output:
Example 2:
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.path import Path
from matplotlib.patches import PathPatch
fig = plt.figure()
ax = fig.add_subplot(111, aspect ='equal')
path = Path([[0, 0], [0, 1], [1, 0], [0, 0]])
patch = PathPatch(path, facecolor ='none')
ax.add_patch(patch)
Z, Z2 = np.meshgrid(np.linspace(0, 1), np.linspace(0, 1))
im = plt.imshow(Z-Z2,
interpolation ='bilinear',
cmap = plt.cm.RdYlGn,
origin ='lower',
extent =[0, 1, 0, 1],
clip_path = patch,
clip_on = True)
im.set_clip_path(patch)
ax.set_xlim((0, 1))
ax.set_ylim((0, 1))
plt.show()
Output:
Next Article
matplotlib.pyplot.pcolormesh() in Python
RajuKumar19
Improve
Article Tags :
- Python
- Write From Home
- Matplotlib patches-class
- Python-Library
Practice Tags :
- python
Similar Reads
- Matplotlib.patches.PathPatch in Python Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. matplotlib.patches.PathPatch The matplotlib.patches.PathPatch class used to draw general 3 min read
- matplotlib.pyplot.pcolormesh() in Python Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. matplotlib.pyplot.pcolormesh() Function: The pcolormesh() function in pyplot module of matplotlib library 2 min read
- matplotlib.patches.Rectangle in Python Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. matplotlib.patches.Rectangle The matplotlib.patches.Rectangle class is used to rectangle 2 min read
- Matplotlib.patches.Arrow Class in Python Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. Matplotlib.patches.Arrow The matplotlib.patches.Arrow class is used to for patching an a 3 min read
- Matplotlib.patches.Wedge class in Python Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. matplotlib.patches.Wedge The matplotlib.patches.Wedge class is used to add wedge-shaped 3 min read
- Matplotlib.patches.Circle class in Python Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. matplotlib.patches.Circle The matplotlib.patches.Circle class is used to create a circul 3 min read
- Matplotlib.patches.RegularPolygon class in Python Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. matplotlib.patches.RegularPolygon The matplotlib.patches.RegularPolygon class is used to 3 min read
- Matplotlib.axes.Axes.add_patch() in Python Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute. 2 min read
- Matplotlib.patches.ArrowStyle class in Python Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. matplotlib.patches.ArrowStyle The matplotlib.patches.ArrowStyle class is a container cla 2 min read
- Matplotlib.pyplot.copper() in Python Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface. matplotlib.pyplot.copper() Function The copper() function in pyplot module of matplotlib library is used 2 min read
