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length of the first column in csv

I am new in python. I would like to ask what is the optimal way of getting length on the first column of csv file in python ? I tried this, but got this error:
File "C:/Projekty/valispace_api/CreatingCvs.py", line 6, in <module>
first_col_len = len(next(zip(*reader)))
_csv.Error: iterator should return strings, not bytes (did you open the file in text mode?)
Thanks
import csv
with open('export_U43V_WIRKNETZ.csv', 'rb') as f:
reader = csv.reader(f)
first_col_len = len(next(zip(*reader)))
print(first_col_len)

I need help creating a simple python script that stores an attribute value from a custom json file

JSON file looks like this:
{"Clear":"Pass","Email":"noname#email.com","ID":1234}
There are hundreds of json files with different email values, which is why I need a script to run against all files.
I need to extract out the value associated with the Email attribute, which is nooname#email.com.
I tried using import json but I'm getting a decoder error:
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
Script looks like this:
import json
json_data = json.loads("file.json")
print (json_data["Email"]
Thanks!

According to the docs, json.loads() takes a str, bytes or bytearray as argument. So if you want to load a json file this way, you should pass the content of the file instead of its path.
import json
file = open("file.json", "r") # Opens file.json in read mode
file_data = file.read()
json_data = json.loads(file_data)
file.close() # Remember to close the file after using it
You can also use json.load() which takes a FILE as argument
import json
file = open("file.json", "r")
json_data = json.load(file)
file.close()

your script needs to open the file to get a file handle, than we can read the json.
this sample contains code that can read the json file. to simulate this, it uses a string that is identical with the data coming from the file.
import json
#this is to read from the real json file
#file_name = 'email.json'
#with open(file_name, 'r') as f_obj:
#json_data = json.load(f_obj)
# this is a string that equals the result from reading json file
json_data = '{"Clear":"Pass","Email":"noname#email.com","ID":1234}'
json_data = json.loads(json_data)
print (json_data["Email"])
result: noname#email.com

import json
with open("file.json", 'r') as f:
file_content = f.read()
#convert json to python dict
tmp = json.loads(file_content)
email = tmp["Email"]
As already pointed out in previous comments, json.loads() take contents of a file rather than a file.

File handling with functions?

So I got this code that is supposed to sort a dictionary within a json file alphabetically by key:
import json
def values(infile,outfile):
with open(infile):
data=json.load(infile)
data=sorted(data)
with open(outfile,"w"):
json.dump(outfile,data)
values("values.json","values_out.json")
And when I run it I get this error:
AttributeError: 'str' object has no attribute 'read'
I'm pretty sure I messed something up when I made the function but I don't know what.
EDIT: This is what the json file contains:
{"two": 2,"one": 1,"three": 3}

You are using the strings infile and outfile in your json calls, you need to use the file description instance, that you get using as keyword
def values(infile,outfile):
with open(infile) as fic_in:
data = json.load(fic_in)
data = sorted(data)
with open(outfile,"w") as fic_out:
json.dump(data, fic_out)
You can group, with statements
def values(infile, outfile):
with open(infile) as fic_in, open(outfile, "w") as fic_out:
json.dump(sorted(json.load(fic_in)), fic_out)

You forgot to assign the file you opened to a variable. In your current code you open a file, but then try to load the filename rather than the actual file. This code should run because you assign the file object reference to my_file.
import json
def values(infile,outfile):
with open(infile) as my_file:
data=json.load(my_file)
data=sorted(data)
with open(outfile,"w"):
json.dump(outfile,data)
values("values.json","values_out.json")

Python TypeError: unhashable type: 'list' reading a CSV

I'm trying to learn python to implement a user agent transformation script in our analytics database.
I imported the user_agents lib to do the conversion and show me the user data. When executing this script in python reading a csv file that I extracted containing the user_agents (the csv has only one column) it returns this error:
TypeError: nailshable type: 'list'
Here is the script I am using:
import csv
from user_agents import parse
with open ('UserAgent.csv', 'r') as csv_file:
csv_reader = csv.reader (csv_file)
for line in csv_reader:
print (parse (line))

The parse method takes a string as an argument. However, in your code, each line is a list and not a string, you can try this:
with open('UserAgent.csv', 'r') as csv_file:
csv_reader = csv.reader(csv_file)
for line in csv_reader:
print( parse(' '.join(line)) )

How to format JSON style text using python?

I wrote a program to convert KML to GeoJSON. But, when I look at the output files, they are written without whitespace, making them very hard to read.
I tried to use the json module like so:
file = json.load("<filename>")
But it returned the following:
File "/usr/lib/python3.6/json/__init__.py", line 296, in load
return loads(fp.read())
AttributeError: 'str' has no attribute 'read'

load takes a file object, not a file name.
with open("filename") as fh:
d = json.load(fh)
Once you've parsed it, you can dump it again, but formatted a bit more nicely
with open("formatted-filename.json", "w") as fh:
json.dump(d, fh, indent=4)