The main problem with reading csv files from a web server is that the delimiter used in the file may not be the same as the delimiter used by Python. This can lead to errors when trying to import the data into Python.
import csv import urllib2 response = urllib2.urlopen('http://samplecsvs.s3.amazonaws.com/SalesJan2009.csv') csv_file = csv.reader(response) for row in csv_file: print row
This code imports the csv and urllib2 modules. It then uses urllib2 to open the url ‘http://samplecsvs.s3.amazonaws.com/SalesJan2009.csv’. The code then creates a csv_file variable which is set to the csv.reader function, passing in the response variable as an argument. The code then uses a for loop to iterate through each row in the csv_file, and prints each row to the console.
CSV files are comma-separated values files. They are commonly used to store data in a tabular format. CSV files can be read by Python’s csv module.
Web and CSV tips
There are a few tips for working with Web and CSV data in Python.
First, it’s important to understand that there are two different types of data: text and binary. Binary data is made up of 1s and 0s, while text data is just a series of characters.
When working with binary data, it’s important to use the right tools. For example, the pandas library can be used to read and write binary files.
Second, it’s important to keep track of column names when working with CSV files. Python has a built-in function called split() which can be used to split a file into individual columns.
Finally, it’s also important to remember that CSV files are comma-separated values (CSV). This means that each column must be specified on a separate line.