We Keep Coding

Writing in same row in Gujarati in python using CSV writer

My code:
import csv
# Create a list of Gujarati strings
strings = [['હેલો, વર્લ્ડ!', 'સુપ્રભાત', 'મારા નામ હેઠળ છે']]
# Open the CSV file in 'w' mode
with open('Gujarati.csv', 'w', encoding='utf-16',newline='') as f:
# Create a CSV writer
writer = csv.writer(f)
# Write the strings to the CSV file
writer.writerows(strings)
I am trying to write each heading as a different column, but I don't know why it is getting in the same column. I want it to be in separate columns. I don't know what else to write but feel free to ask me anything anytime.
I appreciate any help you can provide

https://support.microsoft.com/en-us/office/import-or-export-text-txt-or-csv-files-5250ac4c-663c-47ce-937b-339e391393ba#:~:text=You%20can%20import%20data%20from,to%20import%2C%20and%20click%20Import.
Import or export text (.txt or .csv) files You can change the separator character used in both delimited and .csv text files. This may be necessary to ensure that the import or export operation works the way you want it to.

Need a push to start with a function about text files, I can't figure this out on my own

I don't need the entire code but I want a push to help me on the way, I've been searching on the internet for clues on how to start to write a function like this but I haven't gotten any further then just the name of the function.
So I haven't got the slightest clue on how to start with this, I don't know how to work with text files. Any tips?

These text files are CSV (Comma Separated Values). It is a simple file format used to store tabular data.
You may explore Python's inbuilt module called csv.
Following code snippet an example to load .csv file in Python:
import csv
filename = 'us_population.csv'
with open(filename, 'r') as csvfile:
csvreader = csv.reader(csvfile)

I need to edit a python script to remove quotes from a csv, then write back to that same csv file, quotes removed

I have seen similar posts to this but they all seem to be print statements (viewing the cleaned data) rather than overwriting the original csv with the cleaned data so I am stuck. When I tried to write back to the csv myself, it just deleted everything in the file. Here is the format of the csv:
30;"unemployed";"married";"primary";"no";1787;"no";"no";"cellular";19;"oct";79;1;-1;0;"unknown";"no"
33;"services";"married";"secondary";"no";4747;"yes";"cellular";11;"may";110;1;339;2;"failure";"no"
35;"management";"single";"tertiary";"no";1470;"yes";"no";"cellular";12;"apr"185;1;330;1;"failure";"no"
It is delimited by semicolons, which is fine, but all text is wrapped in quotes and I only want to remove the quotes and write back to the file. Here is the code I reverted back to that successfully reads the file, removes all quotes, and then prints the results:
import csv
f = open("bank.csv", 'r')
try:
for row in csv.reader(f, delimiter=';', skipinitialspace=True):
print(' '.join(row))
finally:
f.close()
Any help on properly writing back to the csv would be appreciated, thanks!

See here: Python CSV: Remove quotes from value
I've done this basically two different ways, depending on the size of the csv.
You can read the entire csv into a python object (list), do some things and then
overwrite the other existing file with the cleaned version
As in the link above, you can use one reader and one writer, Create a new file, and write line by-line as you clean the input from the csv reader, delete the original csv and rename the new one to replace the old file.
In my opinion option #2 is vastly preferable as it avoids the possibility of data loss if your script has an error part way through writing. It also will have lower memory usage.
Finally: It may be possible to open a file as read/write, and iterate line-by-line overwriting as you go: But that will leave you open to half of your file having quotes, and half not if your script crashes part way through.

You could do something like this. Read it in, and write using quoting=csv.QUOTE_NONE
import csv
f = open("bank.csv", 'r')
inputCSV = []
try:
for row in csv.reader(f, delimiter=';', skipinitialspace=True):
inputCSV.append(row)
finally:
f.close()
with open('bank.csv', 'w', newline='') as csvfile:
csvwriter = csv.writer(csvfile, delimiter=';')
for row in inputCSV:
csvwriter.writerow(row)

Replace comma with semicolon when creating Csv Dataframe

I have a code that creates a csv file, when I first open it I everything is in one column so I have to do the usual
Go to Data and do the following. The data is then spplited into columns.
I work with Office 365, and recently I was told that if I change the commas with semicolons then when I open the newly created file Csv file, Excel will automatically open the file already separated into columns.
I’m asking for some advice here, since having to do this process for every created Csv file is really time consuming.
Looking for a way to alter my code so it does this automatically maybe instead of splitting columns with commas, do it with semicolons in this case. Just to try if this works out.
with open('created.csv', 'w', newline='') as f:
writer = csv.writer(f)
[1]: https://i.stack.imgur.com/OtxO4.png

If you already want to transform an existing file you can do it like that:
with open('created.csv', 'r', encoding='utf-8') as f_in, open("outfile.csv", 'w') as f_out:
for line in f_in:
line = line.split(",")
line = ";".join(line)
f_out.write(line)
In case you have already a dataframe you can do it like #jezrael said in the comment with:
df.to_csv('created.csv', sep=';')
As mention in the comment you are already using the csv module to write your file. You have to change this line in your code:
writer = csv.writer(f)
to
writer = csv.writer(f, delimiter=';')
As for me if I open a csv splitted with "," I have to that thing you described in your question. But if I open a csv splitted with ";" it's already in the right columns.
This is (for Windows user at least) dependent on your region settings. This can be different for everyone dependent on your language settings.
You can check them here and also change it if you want:
https://www.itsupportguides.com/knowledge-base/office-2013/excel-20132016-how-to-change-csv-delimiter-character/

Overwriting a specific row in a csv file using Python's CSV module

I'm using Python's csv module to do some reading and writing of csv files.
I've got the reading fine and appending to the csv fine, but I want to be able to overwrite a specific row in the csv.
For reference, here's my reading and then writing code to append:
#reading
b = open("bottles.csv", "rb")
bottles = csv.reader(b)
bottle_list = []
bottle_list.extend(bottles)
b.close()
#appending
b=open('bottles.csv','a')
writer = csv.writer(b)
writer.writerow([bottle,emptyButtonCount,100, img])
b.close()
And I'm using basically the same for the overwrite mode(which isn't correct, it just overwrites the whole csv file):
b=open('bottles.csv','wb')
writer = csv.writer(b)
writer.writerow([bottle,btlnum,100,img])
b.close()
In the second case, how do I tell Python I need a specific row overwritten? I've scoured Gogle and other stackoverflow posts to no avail. I assume my limited programming knowledge is to blame rather than Google.

I will add to Steven Answer :
import csv
bottle_list = []
# Read all data from the csv file.
with open('a.csv', 'rb') as b:
bottles = csv.reader(b)
bottle_list.extend(bottles)
# data to override in the format {line_num_to_override:data_to_write}.
line_to_override = {1:['e', 'c', 'd'] }
# Write data to the csv file and replace the lines in the line_to_override dict.
with open('a.csv', 'wb') as b:
writer = csv.writer(b)
for line, row in enumerate(bottle_list):
data = line_to_override.get(line, row)
writer.writerow(data)

You cannot overwrite a single row in the CSV file. You'll have to write all the rows you want to a new file and then rename it back to the original file name.
Your pattern of usage may fit a database better than a CSV file. Look into the sqlite3 module for a lightweight database.