I am new to python. I have a .csv file which has 13 columns. I want to round off the floating values of the 2nd column which I was able to achieve successfully. I did this and stored it in a list. Now I am unable to figure out how to overwrite the rounded off values into the same csv file and into the same column ie column 2? I am using python3. Any help will be much appreciated.
My code is as follows:
Import statements for module import:
import csv
Creating an empty list:
list_string = []
Reading a csv file
with open('/home/user/Desktop/wine.csv', 'r') as csvDataFile:
csvReader = csv.reader(csvDataFile, delimiter = ',')
next(csvReader, None)
for row in csvReader:
floatParse = float(row[1])
closestInteger = int(round(floatParse))
stringConvert = str(closestInteger)
list_string.append(stringConvert)
print(list_string)
Writing into the same csv file for the second column (Overwrites the entire Excel file)
with open('/home/user/Desktop/wine.csv', 'w') as csvDataFile:
writer = csv.writer(csvDataFile)
next(csvDataFile)
row[1] = list_string
writer.writerows(row[1])
PS: The writing into the csv overwrites the entire csv and removes all the other columns which I don't want. I just want to overwrite the 2nd column with rounded off values and keep the rest of the data same.
this might be what you're looking for.
import pandas as pd
import numpy as np
#Some sample data
data = {"Document_ID": [102994,51861,51879,38242,60880,76139,76139],
"SecondColumnName": [7.256,1.222,3.16547,4.145658,4.154656,6.12,17.1568],
}
wine = pd.DataFrame(data)
#This is how you'd read in your data
#wine = pd.read_csv('/home/user/Desktop/wine.csv')
#Replace the SecondColumnName with the real name
wine["SecondColumnName"] = wine["SecondColumnName"].map('{:,.2f}'.format)
#This will overwrite the sheet, but it will have all the data as before
wine.to_csv(/home/user/Desktop/wine.csv')
Pandas is way easier than read csv...I'd recommended checking it out.
I think this better answers the specific question. The key to this is to define an input_file
and an output_file
during the with
part.
The StringIO part is just there for sample data in this example. newline=''
is for Python 3. Without it, blank lines between each row appears in the output. More info .
import csv
from io import StringIO
s = '''A,B,C,D,E,F,G,H,I,J,K,L
1,4.4343,3,4,5,6,7,8,9,10,11
1,8.6775433,3,4,5,6,7,8,9,10,11
1,16.83389832,3,4,5,6,7,8,9,10,11
1,32.2711122,3,4,5,6,7,8,9,10,11
1,128.949483,3,4,5,6,7,8,9,10,11'''
list_string = []
with StringIO(s) as input_file, open('output_file.csv', 'w', newline='') as output_file:
reader = csv.reader(input_file)
next(reader, None)
writer = csv.writer(output_file)
for row in reader:
floatParse = float(row[1]) + 1
closestInteger = int(round(floatParse))
stringConvert = str(closestInteger)
row[1] = stringConvert
writer.writerow(row)
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