删除带有零的行 [英] Delete rows with zeros
本文介绍了删除带有零的行的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我得到了一个带有不同统计值的csv文件. NA值已替换为零.如何使用python脚本删除只有零的行.
I got a csv file with different statistical values calculated. NA values have been replaced as zeros. How can I delete rows that has only zeros using a python script.
all_df.dropna(subset=df_all.columns.tolist()[1:], how='all', inplace=True)
df = df[(df.iloc[:, 1:] != 0).all(1)]
all_df['activity'] = all_df['activity'].apply(lambda x: re.sub(r'^([a-zA-Z]+).*', r'\1', x))
all_df.to_csv('all_data.csv', index=False)
以下是CSV文件的示例:
Here is a sample of the CSV file:
activity,kurtosisLenIn,kurtosisTimeIn,madLenIn,madTimeIn,maxLenIn,maxTimeIn,meanLenIn
Fbstt,-2.015559753,10.83952356,546.231405,0.044999868,1500,0.275991,774.4545455
Fbstt,18.22973615,60.34424947,120.5485027,0.017036675,1500,0.493632,1436.301075
Fbstt,0.0,0.0,0.0,0.0,0.0,0.0,0.0
Fbstt,0.0,0.0,0.0,0.0,0.0,0.0,0.0
Fbstt,-0.336967713,7.433987655,107.5,0.038565472,417,0.204289,185.3333333
Fbstt,0,0.0,0.0,0,0.0,0.0,0.0
Fbstt,0,0,175.1111111,0.005120444,545,0.012801,399.6666667
Fbstt,0,0,0,0,0,0,0
Fbstt,-1.895337427,-0.356310433,443.1851852,0.06895037,1332,0.202241,692.3333333
Fbstt,15.84040927,179.5524848,129.7876543,0.006645361,1500,0.586817,1431.288889
推荐答案
使用pandas
,请尝试以下代码:
Using pandas
, try this code:
import pandas as pd
df = pd.read_csv('source.csv')
df = df[(df.iloc[:, 1:] != 0).all(1)]
df.to_csv('output.csv', index=False)
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