在 python 中，我想遍历多个 csv 文件并删除特定行

Question

我有 10 个 csv 文件，在每个文件中，我想删除 UID 列中包含以下数字的行 - 1002、1007、1008.

请注意，所有 10 个 csv 文件都具有相同的列名称

# one of the csv files looks like this

import pandas as pd

df = { 
        'UID':[1001,1002,1003,1004,1005,1006,1007,1008,1009,1010],
        'Name':['Ray','James','Juelz','Cam','Jim','Jones','Bleek','Shawn','Beanie','Amil'],
        'Income':[100.22,199.10, 191.13,199.99,230.6,124.2,122.9,128.7,188.12,111.3],
        'Age':[24,32,27,54,23,41,44,29,30,68]
}
 
df = pd.DataFrame(df)
df = df[['UID','Name','Age','Income']]
df

尝试

#I know I need a for loop or glob to iterate through the folder and filter out the desired UIDs. My dilemma is I don't know how to incorporate steps II & III  in I

#Step I: looping through the .csv files in the folder

import os
directory = r'C:\Users\admin'
for filename in os.listdir(directory):
    if filename.endswith(".csv"):
        print(os.path.join(directory, filename))

# StepII: UID to be removed - 1002,1007,1008 

df2 = df[~(df.UID.isin([1002,1007,1008]))] 

# Step III: Export the new dataframes as .csv files (10 csv files)
df2.to_csv(r'mypath\data.csv)

谢谢

Answer 1

为此您不需要程序，当然也不需要 pandas。如果您有 Linux 个工具：

grep -v -e 1002, -e 1007, -e 1008, incoming.csv > fixed.csv

Windows:

findstr /v /c:1002, /c:1007, /c:1008, incoming.csv > fixed.csv

因此，在批处理文件中：

cd C:\Users\admin
mkdir fixed
for %i in (*.csv) do findstr /v /c:1002, /c:1007, /c:1008, %%i > fixed\%%i

Answer 2

试试这个：

import os
directory = r'C:\Users\admin'
for filename in os.listdir(directory):
    if filename.endswith(".csv"):
        filepath = os.path.join(directory, filename)
        df = pd.read_csv(filepath)
        df2 = df[~df['UID'].isin([1002,1007,1008])]
        filename, ext = filepath.rsplit('.', maxsplit=1)
        filename = f'{filename}_mod.{ext}'
        df2.to_csv(filename)

注意：@TimRoberts 是对的，pandas 在这里有点矫枉过正，但如果您想在这里学习，这是一个可能的解决方案。

Answer 3

抱歉我的英语不好

第二步：

如果我没记错的话，你想从此列表 [1001,1002,1003,1004,1005,1006,1007,1008,1009,1010] 中删除值 [1002,1007,1008]在 df 字典中。很简单，你像这样遍历字典的键：

values = [1002,1007,1008] 

for key in df.keys():

然后检查该键的值中是否有任何要删除的值

values = [1002,1007,1008] 
for key in df.keys():
    for value in values:
        if value in df[key]:
            df[key].remove(value)

第三步

import csv

with open('my_file.csv', mode='w') as file:
    file_writer = csv.writer(file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)

    file_writer.writerow(df)

在 python 中，我想遍历多个 csv 文件并删除特定行

In python, I want to loop through multiple csv files and remove specific rows

python

csv

for-loop

glob

pandas

第二步：

第三步