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Python文档

Python官方文档(中文版)

Numpy

PyTorch中文文档 PyTorch

Pandas

scikit-learn

TensorFlow

Keras

matplotlib

pyecharts

wxpy

获取文件名操作

os.listdir()

语法:os.listdir(path)

函数用途:输出路径下所有文件的文件名,包括文件夹

os.listdir 以列表的形式返回指定文件夹的下所有内容,不管是文件还是文件夹

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import os
path = "E:/vs_code/qtVideo/lib"
datanames = os.listdir(path)
for i in datanames:
print(i)



输出:
A_TEST
OpenCVConfig-version.cmake
OpenCVConfig.cmake
OpenCVModules-debug.cmake
OpenCVModules-release.cmake
OpenCVModules.cmake
opencv_aruco330.lib
opencv_aruco330d.lib
opencv_bgsegm330.lib
opencv_bgsegm330d.lib
opencv_bioinspired330.lib
opencv_bioinspired330d.lib
opencv_calib3d330.lib

os.path.splitext()

语法:os.path.splitext(文件名)

函数用途:将文件名和扩展名分开。

就是以文件名中的’.’作为分隔符,分隔文件名称与文件后缀,以元组的形式返回文件名与后缀。

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name1 = "opencv_xphoto330d.lib"
name2 = "D:\\opencv_xphoto330d.lib"
result1 = os.path.splitext(name1)
result2 = os.path.splitext(name2)
print("result1:",result1)
print("result2:",result2)
print("type:",type(result1),type(result2))

输出:
result1: ('opencv_xphoto330d', '.lib')
result2: ('D:\\opencv_xphoto330d', '.lib')
type: <class 'tuple'> <class 'tuple'>

os.path.split()

语法:os.path.split(path)

函数用途:返回文件的路径和文件名。

就是以路径最后一个’/‘或者’\‘为分隔,以元祖的形式返回路径与文件名,若只有文件名,则输出文件名与空。

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name1 = "opencv_xphoto330d.lib"
name2 = "E:\\vs_code\\qtVideo\\opencv_xphoto330d.lib"
name3 = "E:\\vs_code\\qtVideo"
result1 = os.path.split(name1)
result2 = os.path.split(name2)
result3 = os.path.split(name3)
print("result1:",result1)
print("result2:",result2)
print("result3:",result3)
print("type:",type(result1),type(result2),type(result3))

输出:
result1: ('', 'opencv_xphoto330d.lib')
result2: ('E:\\vs_code\\qtVideo', 'opencv_xphoto330d.lib')
result3: ('E:\\vs_code', 'qtVideo')
type: <class 'tuple'> <class 'tuple'>

os.path.basename()

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import os.path
filePath=“K:/Project/FilterDriver/DriverCodes/hello.txt”
print(os.path.basename(filePath))
执行的结果仍然是hello.txt。

常用库

Matplotlib

画图

直方图

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import matplotlib.mlab as mlab
import matplotlib.pyplot as plt

x = [x[0] for x in canzhao]
y = [y[1] for y in canzhao]

fig = plt.figure()
plt.bar(x,y,0.01,color="green")
plt.xlabel("X-w_1")
plt.ylabel("Y-rate")
plt.title("bar chart")

plt.show()

将print输入文件

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mylog = open('recode.log', mode = 'a',encoding='utf-8')
for i in range(10):
print("sdjlahjljag", file=mylog)
mylog.close()