Matplotlib.pyplot.gca()用 Python
表示
哎哎哎:# t0]https://www . geeksforgeeks . org/matplot lib-pyplot-GCA-in-python/
Matplotlib 是 Python 中的一个库，它是 NumPy 库的数字-数学扩展。 Pyplot 是一个基于状态的接口，连接到 Matplotlib 模块，该模块提供类似于 MATLAB 的接口。
matplotlib.pyplot.gca()函数
matplotlib 库 pyplot 模块中的 gca()函数用于获取当前图形上与给定关键字 args 匹配的当前 Axes 实例，或者创建一个。
语法:matplotlib . pyplot . GCA(\ * \ * kwargs) T3】参数:此方法不接受任何参数。 返回:该方法不返回值。
下面的例子说明了 matplotlib.pyplot.gca()函数在 matplotlib.pyplot:
示例#1:
Python 3
# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.gridspec as gridspec
from mpl_toolkits.axes_grid1 import make_axes_locatable
plt.close('all')
arr = np.arange(100).reshape((10, 10))
fig = plt.figure(figsize =(4, 4))
im = plt.imshow(arr,
interpolation ="none",
cmap ="plasma")
divider = make_axes_locatable(plt.gca())
cax = divider.append_axes("left",
"15 %",
pad ="30 %")
plt.colorbar(im, cax = cax)
fig.suptitle('matplotlib.pyplot.gca() function\
Example\n\n', fontweight ="bold")
plt.show()
输出:
例 2:
Python 3
# Implementation of matplotlib function
import matplotlib.pyplot as plt
from matplotlib.tri import Triangulation
from matplotlib.patches import Polygon
import numpy as np
def update_polygon(tri):
if tri == -1:
points = [0, 0, 0]
else:
points = triang.triangles[tri]
xs = triang.x[points]
ys = triang.y[points]
polygon.set_xy(np.column_stack([xs, ys]))
def motion_notify(event):
if event.inaxes is None:
tri = -1
else:
tri = trifinder(event.xdata, event.ydata)
update_polygon(tri)
plt.title('matplotlib.pyplot.gca() function \
Example\n\n Potion number : % i' % tri,
fontweight ="bold")
event.canvas.draw()
ang = 3
radi = 8
radii = np.linspace(0.25, 0.95, radi)
res = np.linspace(0, 4 * np.pi, ang)
res = np.repeat(res[..., np.newaxis], radi, axis = 1)
res[:, 1::2] += np.pi / ang
x = (radii * np.cos(2 * res)).flatten()
y = (radii * np.sin(2 * res)).flatten()
triang = Triangulation(x, y)
triang.set_mask(np.hypot(x[triang.triangles].mean(axis = 1),
y[triang.triangles].mean(axis = 1))
< 0.25)
trifinder = triang.get_trifinder()
plt.subplot(111, aspect ='equal')
plt.triplot(triang, 'go-')
polygon = Polygon([[0, 0], [0, 0]],
facecolor ='r')
update_polygon(-1)
plt.gca().add_patch(polygon)
plt.gcf().canvas.mpl_connect('motion_notify_event',
motion_notify)
plt.show()
输出:
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