csv to python
import pandas as pd
df = pd.read_csv (r'Path where the CSV file is storedFile name.csv')
print (df)csv to python
import pandas as pd
df = pd.read_csv (r'Path where the CSV file is storedFile name.csv')
print (df)create csv file python
# This action requires the 'csv' module
import csv
# The basic usage is to first define the rows of the csv file:
row_list = [["SN", "Name", "Contribution"],
[1, "Linus Torvalds", "Linux Kernel"],
[2, "Tim Berners-Lee", "World Wide Web"],
[3, "Guido van Rossum", "Python Programming"]]
# And then use the following to create the csv file:
with open('protagonist.csv', 'w', newline='') as file:
writer = csv.writer(file)
writer.writerows(row_list)
# This will create a csv file in the current directorycsv 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'})python save as csv
import numpy as np
np.savetxt('data.csv', (col1_array, col2_array, col3_array), delimiter=',')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])
#Credit to https://stackoverflow.com/users/790387/burhan-khalid Burhan Khalid
#On StackOverflow.Copyright © 2021 Codeinu
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