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")import csv
my_dict = {'1': 'aaa', '2': 'bbb', '3': 'ccc'}
with open('test.csv', 'w') as f:
for key in my_dict.keys():
f.write("%s,%s\n"%(key,my_dict[key]))mydict = {y[0]: y[1] for y in [x.split(",") for x in open('file.csv').read().split('\n') if x]}input_file = csv.DictReader(open("coors.csv")) 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)
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)