用 python pandas 操纵 excel

Question

我遇到 excel 格式奇怪 excel format, I was looking to put them in a suitable format with python pandas since right now they are separated by days, and it should be all followed like this suitable format 的问题。当我用 pandas 使用 read_excel 阅读它时，我想统一它们并删除第一个 title-date，从此：

Unnamed: 1
NaN NaN
04Oct2020 (Sunday)  NaN
date & time         cars
04/10/2020 00:00:00 1
04/10/2020 00:01:00 2

到合适的形式是这样的：

date & time         cars
04/10/2020 00:00:00 1
04/10/2020 00:01:00 2
.
.
05/10/2020 00:00:00 1

（点是为了表示天是统一的）。我该怎么做？我没有成功，感谢任何帮助！

Answer 1

一种非常 hacky 的方法，应该适用于您的数据集。

import pandas as pd

exclude = ["Mean", "STDEV", "Median", "Min", "Max", "date & time"]
df = pd.read_excel("test.xls", names = ["date_time", "cars"])
df = df[~df.date_time.isin(exclude)].dropna()
df.to_excel("testoutput.xls", index=False)

这会将此输出写入新的 Excel 文件，删除行索引。

              date_time cars
1   2020-10-04 00:00:00    1
2   2020-10-04 00:01:00    2
3   2020-10-04 00:02:00    3
4   2020-10-04 00:03:00    4
5   2020-10-04 00:04:00    5
6   2020-10-04 00:05:00    6
7   2020-10-04 00:06:00    7
17  2020-10-05 00:00:00    1
18  2020-10-05 00:01:00    2
19  2020-10-05 00:02:00    3
20  2020-10-05 00:03:00    4
21  2020-10-05 00:04:00    5
22  2020-10-05 00:05:00    6
23  2020-10-05 00:06:00    7
24  2020-10-05 00:07:00    8
25  2020-10-05 00:08:00    9
26  2020-10-05 00:09:00   10

用 python pandas 操纵 excel

Manipulate excel with python pandas

python

excel

xlsx

pandas