read file csv in python
# 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)
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4.33
3
import pandas as pd # pip install pandas
#read the CSV file
data_file = =pd.read_csv('some_file.csv')
print(data_file)
Thank you!
3
4.33
(3 Votes)
0
4.67
3
import pandas as pd
import numpy as np
datas = pd.read_csv('data.csv')
a = datas.to_numpy()
print(a[0])
Thank you!
3
4.67
(3 Votes)
0
4
1
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.')
Thank you!
1
4
(1 Votes)
0
4.67
3
import csv
f = open("fileName.csv") # encoding="utf8"
reader = csv.DictReader(f) # delimiter=";", quotechar='"'
data = [row for row in reader]
Thank you!
3
4.67
(3 Votes)
0
0
9
# This action requires the 'csv' module
import csv
# The basic usage is to first define the rows of the csv file:
row_list = [["SN", "Name", "Contribution"],
[1, "Linus Torvalds", "Linux Kernel"],
[2, "Tim Berners-Lee", "World Wide Web"],
[3, "Guido van Rossum", "Python Programming"]]
# And then use the following to create the csv file:
with open('protagonist.csv', 'w', newline='') as file:
writer = csv.writer(file)
writer.writerows(row_list)
# This will create a csv file in the current directory
Thank you!
9
0
0
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