如何创建一个以日期时间为索引、随机值为一列的 pandas 数据框。目前,我有这个:
from datetime import datetime, timedelta
date_today = datetime.now()
date_end = date_today + timedelta(7)
df = pd.DataFrame(columns=['test'])
我该如何从这里开始?
最佳答案
你可以试试这个:
import pandas as pd
import numpy as np
from datetime import datetime, timedelta
date_today = datetime.now()
days = pd.date_range(date_today, date_today + timedelta(7), freq='D')
np.random.seed(seed=1111)
data = np.random.randint(1, high=100, size=len(days))
df = pd.DataFrame({'test': days, 'col2': data})
df = df.set_index('test')
print(df)
test
2017-03-22 10:07:41.914019 29
2017-03-23 10:07:41.914019 56
2017-03-24 10:07:41.914019 82
2017-03-25 10:07:41.914019 13
2017-03-26 10:07:41.914019 35
2017-03-27 10:07:41.914019 53
2017-03-28 10:07:41.914019 25
2017-03-29 10:07:41.914019 23
关于python - 使用列中的日期时间索引和随机值创建 Pandas 数据框,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/42941310/