csv python write
import csv
with open('names.csv', 'w') as csvfile:
fieldnames = ['first_name', 'last_name']
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
writer.writerow({'first_name': 'Baked', 'last_name': 'Beans'})
writer.writerow({'first_name': 'Lovely', 'last_name': 'Spam'})
writer.writerow({'first_name': 'Wonderful', 'last_name': 'Spam'})how to open csv file in python
import csv
with open('example.csv') as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')import csv file in python
import pandas as pd
df = pd.read_csv (r'Path where the CSV file is storedFile name.csv')
print (df)pandas go through csv file
data = pd.read_csv(
"data/files/complex_data_example.tsv", # relative python path to subdirectory
sep='t' # Tab-separated value file.
quotechar="'", # single quote allowed as quote character
dtype={"salary": int}, # Parse the salary column as an integer
usecols=['name', 'birth_date', 'salary']. # Only load the three columns specified.
parse_dates=['birth_date'], # Intepret the birth_date column as a date
skiprows=10, # Skip the first 10 rows of the file
na_values=['.', '??'] # Take any '.' or '??' values as NA
)Copyright © 2021 Codeinu
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