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)
how to read a csv file in python
import csv
with open('some.csv', newline='') as f:
reader = csv.reader(f)
for row in reader:
print(row)
python read csv file
import csv
with open('employee_birthday.txt') 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 reader python
import csv
with open('employee_birthday.txt', mode='r') as csv_file:
csv_reader = csv.DictReader(csv_file)
line_count = 0
for row in csv_reader:
if line_count == 0:
print(f'Column names are {", ".join(row)}')
line_count += 1
print(f't{row["name"]} works in the {row["department"]} department, and was born in {row["birthday month"]}.')
line_count += 1
print(f'Processed {line_count} lines.')
read csv python
import pandas as pd
data = pd.read_csv("filename.csv")
data.head()
csv manipulation python
import csv, sys
filename = 'some.csv'
with open(filename, 'rb') as f:
reader = csv.reader(f)
try:
for row in reader:
print row
except csv.Error as e:
sys.exit('file %s, line %d: %s' % (filename, reader.line_num, e))
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