[英]How do I replace -0.0 values with 0.0 values in a dataframe?
大约一周前,我在这里问了这个问题,我使用rolling().sum().round()
方法创建新列并添加到数据框中。 但是,我在数据框中有一些值为-0.0
但我想用0.0
替换它。
这是一个例子:
print(assomption_rain_df.head(25))
date time rain_gauge_value
0 2020-08-05 00:00:00 5.3
1 2020-08-05 01:00:00 2.7
2 2020-08-05 02:00:00 2.2
3 2020-08-05 03:00:00 3.0
4 2020-08-05 04:00:00 1.5
5 2020-08-05 05:00:00 0.0
6 2020-08-05 06:00:00 0.0
7 2020-08-05 07:00:00 0.0
8 2020-08-05 08:00:00 0.1
9 2020-08-05 09:00:00 0.1
10 2020-08-05 10:00:00 0.1
11 2020-08-05 11:00:00 0.4
12 2020-08-05 12:00:00 0.5
13 2020-08-05 13:00:00 0.2
14 2020-08-05 14:00:00 0.3
15 2020-08-05 15:00:00 0.4
16 2020-08-05 16:00:00 0.2
17 2020-08-05 17:00:00 0.0
18 2020-08-05 18:00:00 0.0
19 2020-08-05 19:00:00 0.0
20 2020-08-05 20:00:00 0.0
21 2020-08-05 21:00:00 0.0
22 2020-08-05 22:00:00 0.0
23 2020-08-05 23:00:00 0.0
24 2020-08-06 00:00:00 0.0
assomption_rain_df['rain_gauge_value_6hr']=assomption_rain_df['rain_gauge_value'].rolling(6).sum().round(1)
print(assomption_rain_df.head(25))
date time rain_gauge_value rain_gauge_value_6hr
0 2020-08-05 00:00:00 5.3 NaN
1 2020-08-05 01:00:00 2.7 NaN
2 2020-08-05 02:00:00 2.2 NaN
3 2020-08-05 03:00:00 3.0 NaN
4 2020-08-05 04:00:00 1.5 NaN
5 2020-08-05 05:00:00 0.0 14.7
6 2020-08-05 06:00:00 0.0 9.4
7 2020-08-05 07:00:00 0.0 6.7
8 2020-08-05 08:00:00 0.1 4.6
9 2020-08-05 09:00:00 0.1 1.7
10 2020-08-05 10:00:00 0.1 0.3
11 2020-08-05 11:00:00 0.4 0.7
12 2020-08-05 12:00:00 0.5 1.2
13 2020-08-05 13:00:00 0.2 1.4
14 2020-08-05 14:00:00 0.3 1.6
15 2020-08-05 15:00:00 0.4 1.9
16 2020-08-05 16:00:00 0.2 2.0
17 2020-08-05 17:00:00 0.0 1.6
18 2020-08-05 18:00:00 0.0 1.1
19 2020-08-05 19:00:00 0.0 0.9
20 2020-08-05 20:00:00 0.0 0.6
21 2020-08-05 21:00:00 0.0 0.2
22 2020-08-05 22:00:00 0.0 -0.0
23 2020-08-05 23:00:00 0.0 -0.0
24 2020-08-06 00:00:00 0.0 -0.0
如何在数据框中将-0.0
值替换为0.0
值?
更新:感谢您的帮助! 在.round(1)
.abs()
) 解决了这个问题。
只需将 -0.0 的值替换为 0:
assomption_rain_df['rain_gauge_value_6hr'][assomption_rain_df['rain_gauge_value_6hr'] == -0.0] = 0
assomption_rain_df['rain_gauge_value_6hr'] = assomption_rain_df['rain_gauge_value_6hr'].replace(-0, 0)
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