PYTHON

plt plot circle

import matplotlib.pyplot as plt

circle1 = plt.Circle((0, 0), 0.2, color='r')
circle2 = plt.Circle((0.5, 0.5), 0.2, color='blue')
circle3 = plt.Circle((1, 1), 0.2, color='g', clip_on=False)

fig, ax = plt.subplots() # note we must use plt.subplots, not plt.subplot
# (or if you have an existing figure)
# fig = plt.gcf()
# ax = fig.gca()

ax.add_patch(circle1)
ax.add_patch(circle2)
ax.add_patch(circle3)

fig.savefig('plotcircles.png')

python draw circle matplotlib

import matplotlib.pyplot as plt
R = 1
max_theta = 2* np.pi
list_t = list(np.arange(0,max_theta,0.0001))
x_circle = [(R*math.cos(x_y)) for x_y  in list_t]
y_circle = [(R*math.sin(x_y)) for x_y  in list_t]
#Plot
fig = plt.figure()
fig.set_size_inches(8, 8)
ax = fig.add_axes([0.15,0.2,0.7,0.7]) 
ax.plot(x_circle, y_circle, linestyle = 'solid', color = 'black')

plt plot circle

circle1 = plt.Circle((0, 0), 2, color='r')
# now make a circle with no fill, which is good for hi-lighting key results
circle2 = plt.Circle((5, 5), 0.5, color='b', fill=False)
circle3 = plt.Circle((10, 10), 2, color='g', clip_on=False)
    
ax = plt.gca()
ax.cla() # clear things for fresh plot

# change default range so that new circles will work
ax.set_xlim((0, 10))
ax.set_ylim((0, 10))
# some data
ax.plot(range(11), 'o', color='black')
# key data point that we are encircling
ax.plot((5), (5), 'o', color='y')
    
ax.add_patch(circle1)
ax.add_patch(circle2)
ax.add_patch(circle3)
fig.savefig('plotcircles2.png')

plt circle

a_circle = plt.Circle((0, 0), .5)