How to use NumPy to find the maximum and minimum values in an array

This time to bring you how to use NumPy to find the maximum and minimum values in the array, with NumPy to find out the maximum and minimum values in the array of considerations, the following is the actual case, together to see.

Create an array using NumPy in Python, and then we want to get the maximum value of the array, the minimum value. You can use this method:

First, create an array

This allows you to get the maximum and minimum values for an array.

And you can use Np.where (Np.max (a)) to get the maximum, minimum number of rows and columns.

Second, the operation of the file under Python

1. Move a folder to another folder

First of all

Import OS, Skutil

To copy a file:

Shutil.copyfile (' Oldfile ', ' newfile ')

Oldfile and NewFile can only be files.

Shutil.copy (' Oldfile ', ' newfile ')

Oldfile can only be a folder, NewFile may be a file, or it can be a destination directory

To copy a folder:

Shutil.copytree (' Olddir ', ' newdir ')

Olddir and Newdir can only be directories, and newdir must not exist

To move a file:

Shutil.move (' Oldpos ', ' Newpos ')

To rename a file:

Os.rename (' oldname ', ' newname ') files and directories use this command

To delete a file:

Os.remove (' file ') os.rmdir (' dir ')

Only empty directories can be deleted

Judgment target:

Os.path.exists (' goal ')

Determine if the target exists

Os.path.isdir (' goal ')

Determine if the target is a directory

Os.path.isfile (' goal ')

Determine if the target is a file

To convert a directory:

Os.chdir (' path ')

Determine if the path exists:

isexists = os.path.exists (path)

Exists True

does not exist False

To create a directory:

Os.mkdir (' file ')

To create a multi-level catalog:

def mkdirs (path): # Remove First space path = Path.strip () # remove tail \ Symbol Path = Path.rstrip (' \ \ ')

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