我使用seaborn add on使用plt.imshow()绘制图像....
plt.axis('off')
我现在想摆脱我阴谋周围丑陋的轴线,但是保持当它们指向距离时,它们的位置是正确的。
我找到并尝试过的所有东西,例如fig.axes.get_yaxis().set_visible(False)
,plt.tick_params(top='off', bottom='on', left='off', right='off', labelleft='on', labelbottom='on')
,{{1}}等会关闭轴 AND 。
答案 0 :(得分:3)
您可能决定不使用seaborn并将轴刺不可见:
for d in ["left", "top", "bottom", "right"]:
plt.gca().spines[d].set_visible(False)
import numpy as np
import matplotlib.pyplot as plt
mapy = np.random.rand(100,100)
pf = 2.8
areaX = mapy.shape[0]/2*pf # half of the area!
areaY = mapy.shape[1]/2*pf # half of the area!
fig = plt.imshow(mapy,interpolation='spline16',origin='lower',
cmap='Reds',extent=[-areaX*pf,areaX*pf,-areaY*pf,areaY*pf])
plt.grid(False)
for d in ["left", "top", "bottom", "right"]:
plt.gca().spines[d].set_visible(False)
plt.show()
使用rcParams,
可以做同样的事情s = {"axes.spines.left" : False,
"axes.spines.bottom" : False,
"axes.spines.top" : False,
"axes.spines.right" : False}
plt.rcParams.update(s)
import numpy as np
import matplotlib.pyplot as plt
s = {"axes.spines.left" : False,
"axes.spines.bottom" : False,
"axes.spines.top" : False,
"axes.spines.right" : False}
plt.rcParams.update(s)
mapy = np.random.rand(100,100)
pf = 2.8
areaX = mapy.shape[0]/2*pf # half of the area!
areaY = mapy.shape[1]/2*pf # half of the area!
fig = plt.imshow(mapy,interpolation='spline16',origin='lower',
cmap='Reds',extent=[-areaX*pf,areaX*pf,-areaY*pf,areaY*pf])
plt.grid(False)
plt.show()
或者,您可以将轴edgecolor设置为透明。
plt.rcParams["axes.edgecolor"]=(1,1,1,0)
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams["axes.edgecolor"]=(1,1,1,0)
mapy = np.random.rand(100,100)
pf = 2.8
areaX = mapy.shape[0]/2*pf # half of the area!
areaY = mapy.shape[1]/2*pf # half of the area!
fig = plt.imshow(mapy,interpolation='spline16',origin='lower',
cmap='Reds',extent=[-areaX*pf,areaX*pf,-areaY*pf,areaY*pf])
plt.grid(False)
plt.show()
或者,如果您想使用seaborn(并且它是白色风格),还可以使用
重新激活刻度线plt.tick_params(axis="both", which="major", length=5)
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style(style='white') #turn off grid
mapy = np.random.rand(100,100)
pf = 2.8
areaX = mapy.shape[0]/2*pf # half of the area!
areaY = mapy.shape[1]/2*pf # half of the area!
fig = plt.imshow(mapy,interpolation='spline16',origin='lower',
cmap='Reds',extent=[-areaX*pf,areaX*pf,-areaY*pf,areaY*pf])
plt.grid(False)
for d in ["left", "top", "bottom", "right"]:
plt.gca().spines[d].set_visible(False)
plt.tick_params(axis="both", which="major", length=5)
plt.show()
正如@mwaskom在评论中指出的那样,Seaborn还提供sns.despine()
来摆脱刺,你会称之为
sns.despine(left=True, top=True, bottom=True, right=True)
请注意双重否定( de spine True表示没有刺)。
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style(style='white') #turn off grid
mapy = np.random.rand(100,100)
pf = 2.8
areaX = mapy.shape[0]/2*pf # half of the area!
areaY = mapy.shape[1]/2*pf # half of the area!
fig = plt.imshow(mapy,interpolation='spline16',origin='lower',
cmap='Reds',extent=[-areaX*pf,areaX*pf,-areaY*pf,areaY*pf])
plt.grid(False)
sns.despine(left=True, top=True, bottom=True, right=True)
plt.tick_params(axis="both", which="major", length=5)
plt.show()