Python Csv Reader To Skip 9 Headers

import os import csv def get_file_path(filename): currentdirpath = os.getcwd() file_path = os.path.join(os.getcwd(), filename) print(file_path) return(file_path)

Solution 1:

You can use itertools.islice() to skip a fixed number of lines:

from itertools import islice

next(islice(reader, 9, 9), None)        
for row in reader:
    print(row[0])                   

The islice() object is instructed to skip 9 lines, then immediately stop without producing further results. It is itself an iterator, so you need to call next() on it still.

If you wanted to skip rows until the 'empty' row, that requires a different approach. You'd have to inspect each row and stop reading when you come across one that has only empty cells:

forrowin reader:
    if notany(row):  # onlyempty cells orno cells atall
        break

forrowin reader:
    print(row[0])                   

Demo of the latter approach:

>>>import csv>>>import io>>>sample = '''\...Summary Journal Entry,JE-00000060...Journal Entry Date,28/02/2015...Accounting Period,Feb-15...Accounting Period Start,1/02/2015...Accounting Period End,28/02/2015...Included Transaction Types,Invoice Item...Included Time Period,01/02/2015-09/02/2015...Journal Run,JR-00000046...Segments,...,...Customer Account Number,Transaction Amount...210274174,545.45...210274174,909.09...210274174,909.09...210274174,909.09...210274174,909.09...'''>>>with io.StringIO(sample) as csvfile:...    reader = csv.reader(csvfile)...for row in reader:...ifnot [c for c in row if c]:...break...for row in reader:...print(row[0])                   ... 
Customer Account Number
210274174
210274174
210274174
210274174
210274174

Note that you want to leave newline handling to the csv.reader; when opening your file set newline='':

withopen(filepath, 'r', newline='') as csvfile:

Solution 2:

If you are using numpy, have a look at the skip_header argument in genfromtxt (http://docs.scipy.org/doc/numpy/user/basics.io.genfromtxt.html )

import numpy as np     
r = np.genfromtxt(filepath, skip_header=9, names = ['account','amount'] , delimiter = ',')
print(r.account[0],r.amount[0])

Solution 3:

If you would consider using pandas, read_csv makes reading files very straightforward:

import pandas as pd

data = pd.read_csv(filename, skiprows=9)