PYTHON

how to convert list into csv in python

import pandas as pd    

list1 = [1,2,3,4,5]
df = pd.DataFrame(list1)
df.to_csv('filename.csv', index=False)

#index =false removes unnecessary indexing/numbering in the csv

converting a csv into python list

import csv
with open('records.csv', 'r') as f:
  file = csv.reader(f)
  my_list = list(file)
print(my_list)

list to csv

import csv

with open("out.csv", "w", newline="") as f:
    writer = csv.writer(f)
    writer.writerows(a)

write a list into csv python

# Convert a list into rows for a column in csv

import csv
for_example = [1, 2, 3, 4, 5, 6]
with open('output.csv', 'w', newline='') as csv_1:
  csv_out = csv.writer(csv_1)
  csv_out.writerows([for_example[index]] for index in range(0, len(for_example)))

list to csv python

import csv
  
  
# field names 
fields = ['Name', 'Branch', 'Year', 'CGPA'] 
    
# data rows of csv file 
rows = [ ['Nikhil', 'COE', '2', '9.0'], 
         ['Sanchit', 'COE', '2', '9.1'], 
         ['Aditya', 'IT', '2', '9.3'], 
         ['Sagar', 'SE', '1', '9.5'], 
         ['Prateek', 'MCE', '3', '7.8'], 
         ['Sahil', 'EP', '2', '9.1']] 
  
with open('GFG', 'w') as f:
      
    # using csv.writer method from CSV package
    write = csv.writer(f)
      
    write.writerow(fields)
    write.writerows(rows)

write list to csv python

import pandas as pd    

list1 = [1,2,3,4,5]
df = pd.DataFrame(list1)
df.to_csv('test.csv') ##It will include index also 

df.to_csv('test.csv', index=False) #Without Index