remove space in csv file with python-CodePudding

I have a csv file like:

id ,age ,type ,destination
1,10,20     ,Paris
   
2,20,50      ,Canada
3,10,23     ,London

After type and destination values we have space. I want to remove it and my out put will be:

1,10,20,paris   
2,20,50,canada
3,10,23,london

How can I do it by python?

CodePudding user response：

For this quicker way is to use a text editor :)

If you use vim

%s/ //g

%s - apply to whole file selection

/ / - letter to substitute

// - substitute

g - globally

or simply use find and replace in any editor

In python assuming file.csv is your file

with open('file.csv','r') as f:
    content = f.readlines()
    cleaned = ''
    for line in content:
        if line != '\n':
            cleaned  = line
    print(cleaned.replace(" ",""))

CodePudding user response：

Something like:

with open(filename, 'r') as f:
    reader = csv.reader(f, delimiter=',', quoting=csv.QUOTE_NONE)
    return [[x.strip() for x in row] for row in reader]

I took this answer from here: Strip white spaces from CSV file

CodePudding user response：

You can Try this code

import csv

aList=[]
with open(self.filename, 'r') as f:
    reader = csv.reader(f, delimiter=',', quoting=csv.QUOTE_NONE)
    return [[x.strip() for x in row] for row in reader]

Or you can Read a CSV (or Excel file) using Pandas and trim it using this custom function as follows

#Definition for strippping whitespace
def trim(dataset):
    trim = lambda x: x.strip() if type(x) is str else x
    return dataset.applymap(trim)

And then You can now apply trim(CSV/Excel) to your code like so (as part of a loop, etc.)

dataset = trim(pd.read_csv(dataset))
dataset = trim(pd.read_excel(dataset))