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 csvimport csv
with open('file.csv', newline='') as f:
reader = csv.reader(f)
data = list(reader)
print(data)
import csv
with open('records.csv', 'r') as f:
file = csv.reader(f)
my_list = list(file)
print(my_list)import csv
with open("out.csv", "w", newline="") as f:
writer = csv.writer(f)
writer.writerows(a)# 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)))
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