matplotlib库疑难问题---7、去掉刻度和边框

matplotlib库疑难问题---7、去掉刻度和边框

一、总结

一句话总结：

去掉x轴刻度：将x轴的刻度置为空列表即可：plt.xticks([])

去掉上边框：ax.spines['top'].set_visible(False)

 

 

二、matplotlib库去掉刻度和边框

博客对应课程的视频位置：7、去掉刻度和边框-范仁义-读书编程笔记
https://www.fanrenyi.com/video/43/383

 

import numpy as np
import matplotlib.pyplot as plt
from scipy.interpolate import make_interp_spline
# 设置matplotlib库字体的非衬线字体为黑体
plt.rcParams["font.sans-serif"]=["SimHei"]
# 设置matplotlib库字体族为非衬线字体
plt.rcParams["font.family"]="sans-serif"

fig, ax = plt.subplots()
# 取消边框
for key, spine in ax.spines.items():
   # 'left', 'right', 'bottom', 'top'
   if(key == 'left' or key == 'right'):
       spine.set_visible(False)
plt.xticks([])
plt.yticks([])
x=np.array([1,2,3,4,5])
y=np.array([4,9,6,8,3])
y_mean=np.mean(y).repeat(5)
plt.plot(x,y,color='red', marker='o', linestyle='dashed',linewidth=0, markersize=12)
plt.plot(x,y_mean,'k--')
x_smooth = np.linspace(x.min(),x.max(),300) #300 represents number of points to make between T.min and T.max
y_smooth = make_interp_spline(x, y)(x_smooth)
plt.plot(x_smooth,y_smooth,'r--')
plt.text(0.1,6,r'x均值'+r'$:\mu_x$', fontdict={'size':16,'color':'r'})
plt.show()

1、去掉刻度

将x轴和y轴的刻度置为空列表即可

In [ ]:

# plt.xticks([])
# plt.yticks([])

In [ ]:

# 如果想把刻度改成需要的，也可以直接这样改

# plt.xticks([1,2,3,4,5])

2、去掉边框

In [8]:

import numpy as np
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
# 把上面边框弄没
ax.spines['top'].set_visible(False)
# 下面
ax.spines['bottom'].set_visible(False)
# 左边
ax.spines['left'].set_visible(False)
# 右边
ax.spines['right'].set_visible(False)
x=np.array([1,2,3,4,5])
y=np.array([4,9,6,8,3])
plt.plot(x,y)
plt.show()

In [11]:

for key, spine in ax.spines.items():
    print(key,spine)
# dir(spine)

left Spine
right Spine
bottom Spine
top Spine

In [13]:

import numpy as np
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
for key, spine in ax.spines.items():
   # 'left', 'right', 'bottom', 'top'
   if(key == 'left' or key == 'right'):
       spine.set_visible(False)
x=np.array([1,2,3,4,5])
y=np.array([4,9,6,8,3])
plt.plot(x,y)
plt.show()

In [ ]:

 

本系列博客对应课程位置：
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https://www.fanrenyi.com/video/43/371
2、将曲线平滑-范仁义-读书编程笔记
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3、matplotlib绘图核心原理-范仁义-读书编程笔记
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4、画动态图-范仁义-读书编程笔记
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5、保存动态图-范仁义-读书编程笔记
https://www.fanrenyi.com/video/43/375
6、显示图片-范仁义-读书编程笔记
https://www.fanrenyi.com/video/43/376

7、去掉刻度和边框-范仁义-读书编程笔记
https://www.fanrenyi.com/video/43/383

8、几个点画曲线-范仁义-读书编程笔记
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9、画箭头（综合实例）-2-范仁义-读书编程笔记
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10、画直方图-范仁义-读书编程笔记
https://www.fanrenyi.com/video/43/393

11、画动态直方图-范仁义-读书编程笔记
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