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# Way 1 : Import as dataframe
import pandas as pd
data = pd.read_csv("filename.csv")
# Way 2 : Import as list of tuples
import numpy as np
data = np.recfromcsv(file)
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import pandas as pd
df = pd.read_csv (r'Path where the CSV file is stored\File name.csv')
print (df)
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import csv
with open('filename.csv') as csvfile:
spamreader = csv.reader(csvfile)
for row in spamreader:
print(row)
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import pandas as pd # pip install pandas
#read the CSV file
data_file = =pd.read_csv('some_file.csv')
print(data_file)
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import pandas as pd # pip install pandas
#read the CSV file
data_file = =pd.read_csv('some_file.csv')
print(data_file)
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# 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)
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import csv
with open('passwd', newline='') as f:
reader = csv.reader(f, delimiter=':', quoting=csv.QUOTE_NONE)
for row in reader:
print(row)
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import pandas as pd
import io
df = pd.read_csv(io.BytesIO(uploaded['file.csv']))
print(df)
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dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\CarRecords.csv")