Change specific value in CSV file via Python

问题

I need the way to change specific value of the column of csv file. For example I have csv file:

"Ip","Sites"
"127.0.0.1",10
"127.0.0.2",23
"127.0.0.3",50

and I need to change value 23 to 30 of the "127.0.0.2".

I use csv library: import csv

Appreciate any help as I'm new in Python. Thanks!

回答1:

This is the solution opening the csv file, changing the values in memory and then writing back the changes to disk.

r = csv.reader(open('/tmp/test.csv')) # Here your csv file
lines = list(r)

Content of lines:

[['Ip', 'Sites'],
 ['127.0.0.1', '10'],
 ['127.0.0.2', '23'],
 ['127.0.0.3', '50']]

Modifying the values:

lines[2][1] = '30'

Content of lines:

[['Ip', 'Sites'],
 ['127.0.0.1', '10'],
 ['127.0.0.2', '30'],
 ['127.0.0.3', '50']]

Now we only have to write it back to a file

writer = csv.writer(open('/tmp/output.csv', 'w'))
writer.writerows(lines)

回答2:

You can't really replace values in the existing file. Instead, you need to:

read in existing file
alter file in memory
write out new file (overwriting existing file)

What you can also do is read in the existing file line by line, writing it out to a new file, while replacing values on the fly. When done, close both files, delete the original and rename the new file.

回答3:

You can use very powerful library called pandas. Here is the example.

import pandas as pd
df = pd.read_csv("test.csv")
df.head(3) #prints 3 heading rows

Output:

    Ip  Sites
0   127.0.0.1   10
1   127.0.0.2   23
2   127.0.0.3   50

Now if you want to change the value in the 'Sites' column in the 1st row, run:

df.set_value(1, "Sites", 30)

If you want to change all the values, where 'Ip' is equal to 127.0.0.2, run:

df.loc[df["Ip"]=="127.0.0.2", "Sites"] = 30

Finally, to save the values:

df.to_csv("test.csv", index=False)

来源：https://stackoverflow.com/questions/11033590/change-specific-value-in-csv-file-via-python

标签

python

csv

filereader