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This article introduces the relevant knowledge of "which modules are commonly used in Python". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Catalogue

1. Random random module

2. Matplotlab.pyplot drawing module

3. Mpl_toolkits.mplot3d 3D drawing module

1. Random random module

Import random

Code = random.choice (stock_list) # randomly select elements from a list below are modules that I often use at present. In order to facilitate use, without special needs, I feel that each module is very in-depth study at the beginning, as long as I know some of the commonly used methods. Update at any time, please search and use.

Random random selection module:

Import randoma = [1, 2, 3, 4, 5] print (random.choice (a)) # randomly extract an element from the list code = random.choice (stock_list) # randomly select elements from a list

Os folder module:

Import os# sets the default file path os.chdir () os.chdir (pd.read_csv ('sz300001.csv') data') df = pd.read_csv ('sz300001.csv') print df

Program root address, os.pardir: parent directory parent directory

Root_path = os.path.abspath (os.path.join (current_file, os.pardir, os.pardir)) # two-level parent directory print root_path

Enter the data root directory address

Input_data_path = os.path.abspath (os.path.join (root_path, 'data',' input_data'))

Time time module:

Import time

Get the current date

Date_now = time.strftime ('% Ymuri% mmury% dwells, time.localtime (time.time ()

timer

Start = time.time () end = time.time () used_time = str (end-start) print "used_time:" + used_time2, matplotlab.pyplot drawing module import matplotlib.pyplot as plt

Add a blank canvas

Fig = plt.figure (figsize= (12pm 5))

Set an area on a blank canvas

Ax = fig.add_subplot (1pm 1pm 1)

Set the title of the block

Ax.set_title (str (code)) ax.set_xlabel ('Time') # sets the name of the Abscissa x axis ax.set_ylabel (' Return') # sets the Y axis

Draw a 2D diagram and set the name to 'stock_return'

Plt.plot (df [equity], label='stock_return')

Draw scatter plot

Plt.scatter (df ['ma_long'], df [' final_ratio'], label='ma_long')

There are more graphics to draw. If you really need it, you can search again on the Internet.

Plt.legend (loc='best') # display the name of the graph line plt.show () # draw the image result 3, mpl_toolkits.mplot3d draw 3D picture module from mpl_toolkits.mplot3d import Axes3Dfig = plt.figure () ax = Axes3D (fig) ax.scatter (df ['ma_long'], df [' ma_short'], df ['final_ratio'] Drawing data points # setting the name of the axis ax.set_zlabel ('final_ratio') # axis ax.set_ylabel (' ma_short') ax.set_xlabel ('ma_long') plt.show () "what are the modules commonly used in Python" that ends here Thank you for your reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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