python csv dict reader
>>> import csv
>>> with open('names.csv', newline='') as csvfile:
... reader = csv.DictReader(csvfile)
... for row in reader:
... print(row['first_name'], row['last_name'])
...
Eric Idle
John Cleese
>>> print(row)
{'first_name': 'John', 'last_name': 'Cleese'}python dictionary to csv
import csv
csv_columns = ['word','matchin']
csv_file = "found.csv"
try:
with open(csv_file, 'w') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=csv_columns)
writer.writeheader()
for data in corpus:
writer.writerow(data)
except IOError:
print("I/O error")read csv and store in dictionary python
import csv
with open('coors.csv', mode='r') as infile:
reader = csv.reader(infile)
with open('coors_new.csv', mode='w') as outfile:
writer = csv.writer(outfile)
mydict = {rows[0]:rows[1] for rows in reader}csv to python dictionary
pythonCopyimport pandas as pd
dict_from_csv = pd.read_csv('csv_file.csv', header=None, index_col=0, squeeze=True).to_dict()
print(dict_from_csv)Convert csv to dictionary in Python
pythonCopyimport csv
mydict = {}
with open('csv_file.csv', mode='r') as inp:
reader = csv.reader(inp)
dict_from_csv = {rows[0]:rows[1] for rows in reader}
print(dict_from_csv)Copyright © 2021 Codeinu
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