python read csv
# pip install pandas
import pandas as pd
# Read the csv file
data = pd.read_csv('data.csv')
# Print it out if you want
print(data)
python read csv
# pip install pandas
import pandas as pd
# Read the csv file
data = pd.read_csv('data.csv')
# Print it out if you want
print(data)
python csv reader
with open(r'c:dlFrameRecentSessions.csv') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
line_count = 0
for row in csv_reader:
if line_count == 0:
print(f'Column names are {", ".join(row)}')
line_count += 1
else:
print(f't{row[0]} works in the {row[1]} department, and was born in {row[2]}.')
line_count += 1
print(f'Processed {line_count} lines.')
csv file
Manufacturer,Model,Sales in thousands,4-year resale value,Vehicle type,Price in thousands,Engine size,Horsepower,Wheelbase,Width,Length,Curb weight,Fuel capacity,Fuel efficiency,Latest Launch
Acura ,Integra ,16.919,16.36,Passenger,21.5,1.8,140,101.2,67.3,172.4,2.639,13.2,28,2-Feb-14
Acura ,TL ,39.384,19.875,Passenger,28.4,3.2,225,108.1,70.3,192.9,3.517,17.2,25,6-Mar-15
Acura ,CL ,14.114,18.225,Passenger,.,3.2,225,106.9,70.6,192,3.47,17.2,26,1-Apr-14
Acura ,RL ,8.588,29.725,Passenger,42,3.5,210,114.6,71.4,196.6,3.85,18,22,3-Oct-15
Audi ,A4 ,20.397,22.255,Passenger,23.99,1.8,150,102.6,68.2,178,2.998,16.4,27,10-Aug-15
Audi ,A6 ,18.78,23.555,Passenger,33.95,2.8,200,108.7,76.1,192,3.561,18.5,22,8-Sep-15
csv file
Title1,Title2,Title3
one,two,three
example1,example2,example3
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