import random, csv, datetime
selecteddatas = random.sample(list(range(100)), 100)
a = {}
for data in selecteddatas:
calls = random.choice(range(600))
a[data] = {'time_stamp': datetime.datetime.now(), 'calls': calls}
with open('data.csv', 'w', newline='') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=['time_stamp', 'calls'])
writer.writeheader()
for k in a.keys():
writer.writerow(a[k])
data.csv包含:
time_stamp,calls
2018-07-24 17:54:01.989054,273
2018-07-24 17:54:01.989059,290
2018-07-24 17:54:01.989062,51
2018-07-24 17:54:01.989064,188
2018-07-24 17:54:01.989067,518
...and so on.
不使用
pandas
,使用csv.DictWriter
:data.csv包含:
具有相同键的dict列表可以很容易地转换为数据帧。然后可以轻松地将其转换为csv
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