matplotlib.patches.Rectangle in Python
Last Updated :
27 Apr, 2020
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 patch to a plot with lower left at xy = (x, y) with specified width, height and rotation angle.
Syntax: class matplotlib.patches.Rectangle(xy, width, height, angle=0.0, **kwargs)
Parameters:
- xy: Lower left point to start the rectangle plotting
- width : width of the rectangle
- height: Height of the rectangle.
- angle: Angle of rotation of the rectangle.
The below table has a list of valid kwargs;
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.pyplot as plt
from matplotlib.patches import Rectangle
X = np.arange( 16 ).reshape( 4 , 4 )
fig = plt.figure()
ax = fig.add_subplot( 111 )
ax.imshow(X, cmap = plt.cm.gray,
interpolation = 'nearest' )
ax.add_patch( Rectangle(( 0.5 , 0.5 ),
2 , 2 ,
fc = 'none' ,
ec = 'g' ,
lw = 10 ) )
plt.show()
|
Output:
Example 2:
import matplotlib
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot( 111 )
rect1 = matplotlib.patches.Rectangle(( - 200 , - 100 ),
400 , 200 ,
color = 'green' )
rect2 = matplotlib.patches.Rectangle(( 0 , 150 ),
300 , 20 ,
color = 'pink' )
rect3 = matplotlib.patches.Rectangle(( - 300 , - 50 ),
40 , 200 ,
color = 'yellow' )
ax.add_patch(rect1)
ax.add_patch(rect2)
ax.add_patch(rect3)
plt.xlim([ - 400 , 400 ])
plt.ylim([ - 400 , 400 ])
plt.show()
|
Output:
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