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Prints to console. Now I want to print to CSV file

I can read a text file with names and print in ascending order to console. I simply want to write the sorted names to a column in a CSV file. Can't I take the printed(file) and send to CSV?
Thanks!
import csv
with open('/users/h/documents/pyprojects/boy-names.txt','r') as file:
for file in sorted(file):
print(file, end='')
#the following isn't working.
with open('/users/h/documents/pyprojects/boy-names.csv', 'w', newline='') as csvFile:
names = ['Column1']
writer = csv.writer(names)
print(file)

You can do something like this:
import csv
with open('boy-names.txt', 'rt') as file, open('boy-names.csv', 'w', newline='') as csv_file:
csv_writer = csv.writer(csv_file, quoting=csv.QUOTE_MINIMAL)
csv_writer.writerow(['Column1'])
for boy_name in sorted(file.readlines()):
boy_name = boy_name.rstrip('\n')
print(boy_name)
csv_writer.writerow([boy_name])

This is covered in the documentation.
The only tricky part is converting the lines from the file to a list of 1-element lists.
import csv
with open('/users/h/documents/pyprojects/boy-names.txt','r') as file:
names = [[k.strip()] for k in sorted(file.readlines())]
with open('/users/h/documents/pyprojects/boy-names.csv', 'w', newline='') as csvFile:
writer = csv.writer(csvFile)
writer.writerow(['Column1'])
writer.writerows(names)
So, names will contain (for example):
[['Able'],['Baker'],['Charlie'],['Delta']]
The CSV recorder expects to write a row or a set of rows. EACH ROW has to be a list (or tuple). That's why I created it like I did. By calling writerows, the outer list contains the set of rows to be written. Each element of the outer list is a row. I want each row to contain one item, so each is a one element list.
If I had created this:
['Able','Baker','Charlie','Delta']
then writerows would have treated each string as a sequence, resulting in a CSV file like this:
A,b,l,e
B,a,k,e,r
C,h,a,r,l,i,e
D,e,l,t,a
which is amusing but not very useful. And I know that because I did it while I was creating your answer.

Csv, Python, separating elements in one column to different columns

So I have a CSV file like this,
how can I separate them into different columns like this,
using python without using the pandas lib.

Implementation that should work in python 3.6+.
import csv
with open("input.csv", newline="") as inputfile:
with open("output.csv", "w", newline="") as outputfile:
reader = csv.DictReader(inputfile) # reader
fieldnames = reader.fieldnames
writer = csv.DictWriter(outputfile, fieldnames=fieldnames) # writer
# make header
writer.writeheader()
# loop over each row in input CSV
for row in reader:
# get first column
column: str = str(row[fieldnames[0]])
numbers: list = column.split(",")
if len(numbers) != len(fieldnames):
print("Error: Lengths not equal")
# write row in output CSV
writer.writerow({field: num for field, num in zip(fieldnames, numbers)})
Explanation of the code:
The above code takes two file names input.csv and output.csv. The names being verbose don't need any further explanation.
It reads each row from input.csv and writes corresponding row in output.csv.
The last line is a "dictionary comprehension" combined with zip (similar to "list comprehensions" for lists). It's a nice way to do a lot of stuff in a single line but same code in expanded form looks like:
row = {}
for field, num in zip(fieldnames, numbers):
row[field] = num
writer.writerow(row)

It is already separated into different columns by , as separator, but the european version of excel usually uses ; as separator. You can specify the separator, when you import the csv:
https://support.microsoft.com/en-us/office/import-or-export-text-txt-or-csv-files-5250ac4c-663c-47ce-937b-339e391393ba
If you really want to change the file content with python use the replace function and replace , with ;: How to search and replace text in a file?

python3 list subtract issue - error list is not callable

I am trying to open csv files (two) and subtract values from two columns from those two files. I call the data into arrays, and then use a map and operator.sub to get this, but I am getting stuck on outputting that data as print or as another csv.
I have data in the form of two columns - a1, b1 and a2, b2 in two files. I want to find subtract b2(i) and b1(i), and make a new csv file with the difference "b". Data values are a bit large to copy here. For example, 1,10, /n 2, 15 /n 3 20, etc. and 1,20 /n 2,20 /n 3, 30. I should get 5, 5, 10 as output list or as an array or even as an output file.
My problem - I am not getting any output, but error saying "list" is not callable. I searched through a lot of details on the built-in function matter, but still don't know where I am messing up.
import csv
try:
from itertools import imap
except ImportError:
# Python 3...
imap=map
from operator import sub
a = []
b = []
c = []
with open('1.csv') as csvDataFile:
csvReader = csv.reader(csvDataFile)
for row in csvReader:
a.append(row[1])
with open('2.csv') as csvDataFile:
csvReader = csv.reader(csvDataFile)
for row in csvReader:
b.append(row[1])
c = list(imap(sub, a, b))
print(c)

Just create an output file and put data inside
You may use pandas or just current csv lib
with open('my_output.csv', mode='w') as output_file:
writer = csv.writer(output_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
writer.writerow(['John Smith', 'Accounting', 'November'])

Output nested array with variable length to CSV

I've got a datasample that I would like to output in a CSV file. The data structure is a nested list of different german terms (dict) and the corresponding possible english translations (list):
all_terms = [{'Motor': ['engine', 'motor']},
{'Ziel': ['purpose', 'goal', 'aim', 'destination']}]
As you can see, one german term could hold variable quantities of english translations. I want to output each german term and each of its corresponding translations into separate columns in one row, so "Motor" is in column 1, "engine" in column 2 and "motor" in column 3.
See example:
I just don't know how to loop correctly through the data.
So far, my code to output:
with open(filename, 'a') as csv_file:
writer = csv.writer(csv_file)
# The for loop
for x in all_terms:
for i in x:
for num in i:
writer.writerow([i, x[i][num]])
But this error is thrown out:
writer.writerow([i, x[i][num]]) TypeError: list indices must be integers, not unicode
Any hint appreciated, and maybe there's even a smarter way than 3 nested for loops.

How about the following solution:
import csv
all_terms = [{'Motor': ['engine', 'motor']},
{'Ziel': ['purpose', 'goal', 'aim', 'destination']}]
with open('test.csv', 'a') as csv_file:
writer = csv.writer(csv_file)
# The for loop
for small_dict in all_terms:
for key in small_dict:
output = [key, *small_dict[key]]
writer.writerow(output)
Output in test.txt:
Motor,engine,motor
Ziel,purpose,goal,aim,destination
I used * operator to unpack all items inside the dictionary's values to create a row for the writerow to write in. This can potentially take care of the case if you have multiple entries in a dictionary inside of all_terms.

Here's a way to do it:
import csv
all_terms = [{'Motor': ['engine', 'motor']},
{'Ziel': ['purpose', 'goal', 'aim', 'destination']}]
filename = 'tranlations.csv'
with open(filename, 'a', newline='') as csv_file:
writer = csv.writer(csv_file)
for term in all_terms:
word, translations = term.popitem()
row = [word] + translations
writer.writerow(row)
CSV file's contents afterwards:
Motor,engine,motor
Ziel,purpose,goal,aim,destination

Syntax - saving a dictionary as a csv file

I am trying to "clean up" some data - I'm creating a dictionary of the channels that I need to keep and then I've got an if block to create a second dictionary with the correct rounding.
Dictionary looks like this:
{'time, s': (imported array), 'x temp, C':(imported array),
'x pressure, kPa': (diff. imported array).....etc}
Each imported array is 1-d.
I was looking at this example, but I didn't quite get the way to parse it so that I ended up with what I want.
My desired output is a csv file (do not care if the delimiter is spaces or commas or whatever) with the first row being the keys and the subsequent rows simply being the values.
I feel like what I'm missing is how to use the map function properly.
Also, I'm wondering if I'm using DictWriter when I should be using DictReader.
This is what I originally tried:
with open((filename), 'wb') as outfile:
write = csv.DictWriter(outfile, Fieldname_order)
write.writer.writerow(Fieldname_order)
write.writerows(data)

DictWriter's API doesn't match the data structure you have. DictWriter requires list of dictionaries. You have a dictionary of lists.
You can use the ordinary csv.writer:
my_data = {'time, s': [0,1,2,3], 'x temp, C':[0,10,20,30],
'x pressure, kPa': [0,100,200,300]}
import csv
with open('outfile.csv', 'w') as outfile:
writer = csv.writer(outfile)
writer.writerow(my_data.keys())
writer.writerows(zip(*my_data.values()))
That will write the columns in arbitrary order, which order may change from run to run. One way to make the order to be consistent is to replace the last two lines with:
writer.writerow(sorted(my_data.keys()))
writer.writerows(zip(*(my_data[k] for k in sorted(my_data.keys()))))

Edit: in this example data is a list of dictionaries. Each row in the csv contains one value for each key.
To write your dictionary with a header row and then data rows:
with open(filename, 'wb') as outfile:
writer = csv.DictWriter(outfile, fieldnames)
writer.writeheader()
writer.writerows(data)
To read in data as a dictionary then you do need to use DictReader:
with open(filename, 'r') as infile:
reader = csv.DictReader(infile)
data = [row for row in reader]