Example 1: code how pandas save csv file
df.to_csv('out.csv')
Example 2: create csv file python
import csv
row_list = [["SN", "Name", "Contribution"],
[1, "Linus Torvalds", "Linux Kernel"],
[2, "Tim Berners-Lee", "World Wide Web"],
[3, "Guido van Rossum", "Python Programming"]]
with open('protagonist.csv', 'w', newline='') as file:
writer = csv.writer(file)
writer.writerows(row_list)
Example 3: csv python write
import csv
with open('names.csv', 'w') as csvfile:
fieldnames = ['first_name', 'last_name']
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
writer.writerow({'first_name': 'Baked', 'last_name': 'Beans'})
writer.writerow({'first_name': 'Lovely', 'last_name': 'Spam'})
writer.writerow({'first_name': 'Wonderful', 'last_name': 'Spam'})
Example 4: export csv python
df.to_csv(r'Path where you want to store the exported CSV file\File Name.csv', index = False)
Example 5: python save as csv
import numpy as np
np.savetxt('data.csv', (col1_array, col2_array, col3_array), delimiter=',')
Example 6: Write a table to CSV file python
header = [re.sub(' +',' ',i[0][:-1].replace('\n', ' ')) for i in optionsTable[0]]
with open('test.csv', 'w') as fp:
writer = csv.writer(fp, delimiter=',')
writer.writerow(header)
for row in optionsTable:
writer.writerow([i[1] for i in row])