# and set the first such subplot as active. plt.subplot(2, 1, 1) # Make the first plot plt.plot(x, y_sin) plt.title('Sine') # Set the second subplot as active, and make the second plot. plt.subplot(2, 1, 2) plt.plot(x, y_cos) plt.title('Cosine') # Show the figure....
# Compute the x and y coordinates for points on sine and cosine curves x = np.arange(0, 3 * np.pi, 0.1) y_sin = np.sin(x) y_cos = np.cos(x) # Set up a subplot grid that has height 2 and width 1, # and set the first such subplot as active. plt.subplot(2, 1, 1) ...
array([0,30,45,60,90]) print 'Sine of different angles:' # Convert to radians by multiplying with pi/180 print np.sin(a*np.pi/180) print '\n' print 'Cosine values for angles in array:' print np.cos(a*np.pi/180) print '\n' print 'Tangent values for given angles:' print ...
plt.plot(x, y_sin) plt.title('Sine') # Set the second subplot as active, and make the second plot. #设置第二个副情节为活动的,并制作第二个情节 plt.subplot(2, 1, 2) plt.plot(x, y_cos) plt.title('Cosine') # Show the figure. plt.show() 图片 您可以使用该imshow功能显示图像。...
# angle to rotate clockwise), then grab the sine and cosine # (i.e., the rotation components of the matrix) # -angle位置参数为角度参数负值表示顺时针旋转; 1.0位置参数scale是调整尺寸比例(图像缩放参数),建议0.75 M = cv2.getRotationMatrix2D((cX, cY), -angle, 1.0) ...
在以下脚本中,sine和cosine values被绘制。 例子 import numpy as np import matplotlib.pyplot as plt # Compute the x and y coordinates for points on sine and cosine curves x = np.arange(0, 3 * np.pi, 0.1) y_sin = np.sin(x) y_cos = np.cos(x) # Set up a subplot grid that ...
importnumpy as npimportmatplotlib.pyplot as plt#Compute the x and y coordinates for points on sine and cosine curvesx = np.arange(0, 3 * np.pi, 0.1) y_sin=np.sin(x) y_cos=np.cos(x)#Set up a subplot grid that has height 2 and width 1,#and set the first such subplot as act...
plt.legend(['Sine', 'Cosine']) plt.show() 与matlab相同,利用subplot分区域作图 import numpy as np import matplotlib.pyplot as plt # Compute the x and y coordinates for points on sine and cosine curves x = np.arange(0, 3 * np.pi, 0.1) ...
import numpy as np import matplotlib.pyplot as plt # Compute the x and y coordinates for points on sine and cosine curves x = np.arange(0, 3 * np.pi, 0.1) y_sin = np.sin(x) y_cos = np.cos(x) # Plot the points using matplotlib plt.plot(x, y_sin) plt.plot(x, y_cos) ...
import numpy as np import matplotlib.pyplot as plt # Compute the x and y coordinates for points on sine and cosine curves x = np.arange(0, 3 * np.pi, 0.1) y_sin = np.sin(x) y_cos = np.cos(x) # Set up a subplot grid that has height 2 and width 1, # and set the first...