How to read a CSV file using the pandas Python library?
In Python, we can use the pandas.read_csv() function to read a CSV file. Let’s say we have a file named “iris.csv.” And we want to read the file using pandas. We can use the following Python code to do the same:
import pandas df = pandas.read_csv("iris.csv")
Here, the read_csv() function loads the CSV file and returns a DataFrame that contains the data from the CSV file.
Please note that a CSV file is a Comma Separated Values file. It is a text file that uses commas to separate values. After reading a CSV file using the read_csv() function, the returned DataFrame contains the values from the CSV file.
As we know a DataFrame is a two-dimensional data structure. The columns in a DataFrame store the features or attributes. And the rows contain the observations.
Exploring a CSV file using pandas
After reading a CSV file, we can use various functions from the pandas Python library to explore the file.
For example, we can use the DataFrame.head() function to read the first few lines of the DataFrame.
import pandas df = pandas.read_csv("iris.csv") print(df.head())
The output of the above program will be like the following:






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