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How to skip comma while reading CSV file in python?


How to skip comma while reading CSV file in python?

By : Ben
Date : October 25 2020, 09:10 AM
I hope this helps you . Your quotechar="'" should be quotechar='"', since the input uses " for String values.
Edit 1:
code :
reader = csv.reader(csv_file, delimiter=',', escapechar='\\', quotechar='"')
for row in reader:
    for cell in row:
        print cell


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Skip the first column when reading a csv file Python

Skip the first column when reading a csv file Python


By : Amer
Date : March 29 2020, 07:55 AM
it helps some times Ok, so removing the data (or whichever the keyword is) could be done with a regular expression (which is not really the scope of the question but meh...)
About the regular expression:
code :
import csv
import re

def get_values_flexibly(csv_path, keyword):
    def process(func):
        return set([func(cell)] + [func(row[index]) for row in reader])
    # Start fo real!
    kwd_remover = re.compile(
        r'(?:{kw})*\W*(?P<juicy_data>\w+)\W*(?:{kw})*'.format(kw=keyword)
    )
    result = []
    with open(csv_path, 'r') as f:
        reader = csv.reader(f)
        first_row = [kwd_remover.findall(cell)[0] for cell in reader.next()]
        print "Cleaned first_row: %s" % first_row
        for index, row in enumerate(reader):
            print "Before cleaning: %s" % row
            cleaned_row = [kwd_remover.findall(cell)[0] for cell in row]
            result.append(cleaned_row[1])
            print "After cleaning: %s" % cleaned_row
    return result

print "Result: %s" %  get_values_flexibly("sample.csv", 'data')
Cleaned first_row: ['h1', 'h2', 'h3']
Before cleaning: ['a data', 'data: abc', 'tr']
After cleaning: ['a', 'abc', 'tr']
Before cleaning: ['b data', 'vf data', ' gh']
After cleaning: ['b', 'vf', 'gh']
Before cleaning: ['k data', 'grt data', ' ph']
After cleaning: ['k', 'grt', 'ph']
Result: ['abc', 'vf', 'grt']
How to skip a column when reading a CSV file - Python

How to skip a column when reading a CSV file - Python


By : web Designer
Date : March 29 2020, 07:55 AM
wish helps you All you should have to do is change your range to start at 1 instead of 0, to skip the first column:
for i in range(1, len(values)):
Want to skip last and first 5 lines while reading file in python

Want to skip last and first 5 lines while reading file in python


By : Giovanny Gómez Conve
Date : March 29 2020, 07:55 AM
around this issue You could use a neat feature of slicing, you can count from the end with negative slice index, (see also this question):
code :
lines = f.readlines()[5:-5]
all_lines = f.readlines()
lines = [] if len(all_lines) <= 10 else all_lines[5:-5]
skip second row of dataframe while reading csv file in python

skip second row of dataframe while reading csv file in python


By : John Abbott
Date : March 29 2020, 07:55 AM
this one helps. Your code will ommit the first two lines of your csv. If you want the second line to be ommitted (but the first one included) just do this minor change:
code :
imdb_data = pd.read_csv('IMDB_data.csv', encoding = "ISO-8859-1",skiprows = [1]) 
Skip first rows from CSV with Python without reading the file

Skip first rows from CSV with Python without reading the file


By : user69162
Date : March 29 2020, 07:55 AM
I wish this helpful for you I need to skip some first lines from a CSV file and save it to another file. , You don't need to use pandas just to filter lines from a file:
code :
with open('users.csv') as users, open('usersOutput.csv', 'w') as output:
    for lineno, line in enumerate(users):
        if lineno > 1:
            output.write(line)
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