Mathematical modeling has many reused basic codes. Here is a brief summary of the code in Python and Matlab. The summary will be updated in real time.

• python (pandas)

  File Vocal (Extended Name) is not necessary. The main role is to prompt the system to open, and on the other hand, it prompts the file content format. Such as.txt, .csv, .tsvFiles are pure text files, just.csv, .tsvexplain the division method of data is,与#\t. Since they are all text files, it is availablepandas.read_csvorpandas.read_tableand wait for reading, here it is usedpandas.read_csv 。

  .txtfile

  import pandas as pd
  tsvfile = pd.read_csv('filename.txt')
  tsvfile = pd.read_csv('filename.txt',skiprows=1)# 11 11 11
  

  .csvfile

  import pandas as pd
  tsvfile = pd.read_csv('filename.csv')
  tsvfile = pd.read_csv('filename.csv',skiprows=1)# 1 1 1
  

  .tsvfile

  import pandas as pd
  tsvfile = pd.read_csv('filename.tsv', sep='\t')
  

  .jsonfile

  import pandas as pd
  jsonfile = pd.read_json('filename.json', orient = 'records')
  

  .csvFile Turn.jsonfile

  import csv
  import json
  csvfile = open('filename.tsv'，r)
  jsonfile = open('filename.json'，w)
  
  fieldnames = ("key1","key2","key3")
  reader = csv.DictReader(csvfile,fieldnames) 
  
  for row in reader:
      json.dump(row,jsonfile)
      jsonfile.write('\n')
  

  .xlsxfile

  Excel is a binary file. It preserves the information of all worksheets in the workbook and can also operate the data.

  import pandas as pd
  # Read Excel data, select Sheet1 worksheet
  sheet_1 = pd.read_excel('demo.xlsx', sheet_name='Sheet1', na_values='n/a')
  # Print sheet table name
  print(pd.ExcelFile('listings.xlsx').sheet_names)
  # Print the data head
    print(sheet_1.head())
  

  .xlsxfile transfer.csv

  import pandas as pd
  def xlsx_to_csv_pd():
    data_xls = pd.read_excel('demo.xlsx', index_col=0)
    data_xls.to_csv('demo.csv', encoding='utf-8')
  

  .csvFile Turn.xlsx

  import pandas as pd
  def csv_to_xlsx_pd():
    csv = pd.read_csv('1.csv', encoding='utf-8')
    csv.to_excel('1.xlsx', sheet_name='data')
  

• MATLAB

  The same reason, Matlab reads text files availabletextscan 。

  .txtfile

  clc;clear;
  filename = 'filename.txt';
  file = fopen(filename);%Open the file 
   columns= 's%s%s%s%s%s%';%Read a few columns, there are a few columns's%'
  data = textscan(filename,columns,'delimiter', '	');%Separate with table makingfclose(file);
  

  .csvfile

  clc;clear;
  filename = 'filename.csv';
  file = fopen(filename);%Open the file 
   columns= 's%s%s%s%s%s%';%Read a few columns, there are a few columns's%'
  data=textscan(filename,columns,'delimiter', ',');%to,fclose(file);
  

  .tsvfile

  clc;clear;
  filename = 'filename.tsv';
  file = fopen(filename);%Open the file 
   columns= 's%s%s%s%s%s%';%Read a few columns, there are a few columns's%'
  data=textscan(filename,columns,'delimiter', '	');%Divided by watchmakingfclose(file);
  

  .jsonfile

  matlab read.jsonfiles need to download the jsonlab package.

  clc;clear;
  addpath('E:\PIR\PIR_V3.0\jsonlab-1.5'); %Add JSONLAB package storage path 
  
   filename= 'filename.json'; %file name 
   jsondata= loadjson(filename);%jsondata is the Struct structure 
   Data= jsonData.u';
  

• MATLAB

  MATLAB Help Document

  plot(xi,yi,'>','Color',[x/255 x/255 x/255]);%Right triangle,color is(x,x,x)
  %symbol can be'o','.','+','>','<'et al.xlabel('x/x')
  ylabel('y/y')
  title('Title')
  
  set(gcf,'unit','normalized','position',[0.2,0.2,0.8,0.6]);%fixed size

  Folding line diagram

  xi=  1: 0.25:76;
  yi = interp1(X,Y,xi,'spline');%Insert, the step is1to become0.25
  plot(xi,yi,'Color',[x/255 x/255 x/255],'LineWidth',1);%color is(x,x,x),line thickness is1
  xlabel('x/x')
  ylabel('y/y')
  title('Title')
  
  set(gcf,'unit','normalized','position',[0.2,0.2,0.8,0.6]);%fixed size

  bar chart

  MATLAB bar

  y=[1 2 3,1 2 3];%packet bar charttiledlayout(2,1)%Specify the vertical and horizontal ratiobar(y);
  bar(x,y);
  bar(y,'stacked');%and y=[1 2 3,1 2 3]Combination, the same pillar shape layered displaybar(x,y,0.6);%relative width control intervalbar(y,'FaceColor',[0 .5 .5],'EdgeColor',[0 .9 .9],'LineWidth',1.5);%Multi -parameter 
  
   Y= [10 15 20; 30 35 40; 50 55 62];
  b = bar(y);
  b(3).FaceColor = [.2 .6 .5];%The third column of each group is set to green

  Other features

  %Draw multiple photosfigure(i);
  %plot
  hold on;
  figure(i+1);
  %plot
  
  %Multi -threading%plot
  hold on;
  %plot
  

• python

  import matplotlib.pyplot as plt
  plt.rcParams['figure.figsize'] = (48.0, 30.0) # Set Figure_size size
  plt.plot(X,Y,'.')
  plt.xlabel("x-label",fontproperties=zhfont,fontsize='32')
  plt.ylabel("y-label",fontproperties=zhfont,fontsize='32')
  plt.title("title",fontproperties=zhfont,fontsize='32')
  

  folding line map

  import matplotlib.pyplot as plt
  plt.rcParams['figure.figsize'] = (48.0, 30.0) # Set Figure_size size
  plt.plot(X,Y)
  plt.xlabel("x-label",fontproperties=zhfont,fontsize='32')
  plt.ylabel("y-label",fontproperties=zhfont,fontsize='32')
  plt.title("title",fontproperties=zhfont,fontsize='32')
  

  Other common functions

  # Draw multiple photos
  plt.subplot(221) # The first one in the two lines and two columns
  plt.plot(X1,Y1,'.')
  plt.subplot(222) # The second one of the two lines and two columns
  plt.plot(X2,Y2,'.')
  plt.subplot(223) # The third of the two lines and two columns
  plt.plot(X3,Y3,'.')
  plt.subplot(224) # The fourth line of two lines and two columns
  plt.plot(X4,Y4,'.')
  
  # Multi -picture
  plt.plot(X1,Y1,'.')
  plt.plot(X2,Y2,'.')
  
  # Settings resolution
  ## Drawing resolution
  plt.rcParams['figure.figsize'] = (24.0, 20.0) # The default pixel is [6.0,4.0], the resolution is 100, and the picture size is 600 & 400
  plt.rcParams['figure.dpi'] = 300 # Directly set the resolution, generally use one of these two methods
  ## Save resolution
  plt.rcParams['savefig.dpi'] = 300 # Pre -set to save image pixels
  plt.savefig(‘demo.jpg', dpi=200) # Specify the resolution when saving, one of these two methods is generally used
  
  # title format
  ## 8 `` `` `Code Cow" blog
  plt.title('Interesting Graph',fontsize='large'，fontweight='bold')Set the font size and format 
   PLT.title('Interesting Graph',color='blue')Set font color 
   PLT.title('Interesting Graph',loc ='left')Set font position 
   PLT.title('Interesting Graph',verticalalignment='bottom')Set vertical alignment method 
   PLT.title('Interesting Graph',rotation=45)Set the font rotation angle 
   PLT.title('Interesting',bbox=dict(facecolor='g', edgecolor='blue', alpha=0.65 ))Title Border

• Common color matching