I'm trying to parse a pipe-delimited file and pass the values into a list, so that later I can print selective values from the list.
The file looks like:
name|age|address|phone|||||||||||..etc
It has more than 100 columns.
Use the csv library .
First, register your dialect:
import csv
csv.register_dialect('piper', delimiter='|', quoting=csv.QUOTE_NONE)
Then, use your dialect on the file:
with open(myfile, "rb") as csvfile:
for row in csv.DictReader(csvfile, dialect='piper'):
print row['name']
If you're parsing a very simple file that won't contain any |
characters in the actual field values, you can use split
:
fileHandle = open('file', 'r')
for line in fileHandle:
fields = line.split('|')
print(fields[0]) # prints the first fields value
print(fields[1]) # prints the second fields value
fileHandle.close()
EDIT: A more robust way to parse tabular data would be to use the csv
library as mentioned below .
import pandas as pd
pd.read_csv(filename,sep="|")
This will store the file in dataframe. For each column you can apply conditions to select the required values to print. It takes a very short time to execute. I tried with 111047 rows.
In 2022, with Python 3.8 or above, you can simply do:
import csv
with open(file_path, "r") as csvfile:
reader = csv.reader(csvfile, delimiter='|')
for row in reader:
print(row[0], row[1])
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.