CSV (Comma Separated Values) is a simple file format used to store tabular data, such as a spreadsheet or database. A CSV file stores tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas. The use of the comma as a field separator is the source of the name for this file format.
In this article, we are going to discuss various approaches to count the number of lines in a CSV file using Python.
We are going to use the below dataset to perform all operations:
Python3
# import moduleimport pandas as pd # read the csv fileresults = pd.read_csv('Data.csv') # display datasetprint(results) |
Output:
To count the number of lines/rows present in a CSV file, we have two different types of methods:
- Using len() function.
- Using a counter.
Using len() function
Under this method, we need to read the CSV file using pandas library and then use the len() function with the imported CSV file, which will return an int value of a number of lines/rows present in the CSV file.
Python3
# import moduleimport pandas as pd # read CSV fileresults = pd.read_csv('Data.csv') # count no. of linesprint("Number of lines present:-", len(results)) |
Output:
Using a counter
Under this approach, we will be initializing an integer rowcount to -1 (not 0 as iteration will start from the heading and not the first row)at the beginning and iterate through the whole file and incrementing the rowcount by one. And in the end, we will be printing the rowcount value.
Python3
#Setting initial value of the counter to zerorowcount = 0#iterating through the whole filefor row in open("Data.csv"): rowcount+= 1 #printing the resultprint("Number of lines present:-", rowcount) |
Output:
