import pandas as pd
df = pd.read_csv (r'Path where the CSV file is storedFile name.csv')
print (df)
import csv
with open('filename.csv') as csvfile:
spamreader = csv.reader(csvfile)
for row in spamreader:
print(row)
import csv
with open('example.csv') as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')
import pandas as pd # pip install pandas
#read the CSV file
data_file = =pd.read_csv('some_file.csv')
print(data_file)
import pandas as pd # pip install pandas
#read the CSV file
data_file = =pd.read_csv('some_file.csv')
print(data_file)
import pandas as pd
import io
df = pd.read_csv(io.BytesIO(uploaded['file.csv']))
print(df)
# import des librairies dont nous aurons besoin
import pandas as pd
import numpy as np
import re
# chargement et affichage des données
data = pd.read_csv('personnes.csv')
print(data)
from google.colab import files
uploaded = files.upload()
import csv
with open('some.csv', 'w', newline='') as f:
writer = csv.writer(f)
writer.writerows(someiterable)
this is for csv file python