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title: python csv reader tutorial with code examples
introduction:
csv (comma separated values) files are a popular format for storing and exchanging tabular data. python provides a built-in module called csv that simplifies the process of reading and writing csv files. in this tutorial, we'll explore how to use the python csv reader to read data from a csv file.
step 1: import the csv module
to begin, import the csv module in your python script or jupyter notebook:
step 2: open the csv file
use the open() function to open the csv file in read mode (`'r'):
replace 'example.csv' with the path to your csv file.
step 3: create a csv reader object
next, create a csv reader object using the csv.reader class:
the csv_reader object can now be used to iterate over the rows in the csv file.
step 4: iterate over rows and access data
iterate through the csv file's rows using a for loop. each row is represented as a list of values:
this will print each row of the csv file as a list of values.
step 5: access specific columns
to access data in specific columns, use the corresponding index in the row list:
replace the indices with the actual column indices you want to access.
step 6: handle headers
if your csv file has headers, you can skip them using the next() function before iterating through the rows:
this will skip the first row and store the headers in the headers variable.
conclusion:
with the csv module in python, reading data from csv files becomes a straightforward process. by following this tutorial, you can easily integrate csv file reading functionality into your python projects. experiment with the provided code examples and adapt them to your specific use case.
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