How to print the data type of each attribute of a dataset using Python?

by Amrita Mitra | Nov 12, 2022 | AI, Machine Learning and Deep Learning, Machine Learning Using Python, Python Pandas

We can use the pandas.DataFrame.dtypes property to print the data types of each attribute of a dataset. In this article, we will read from a CSV file and then, use the pandas.DataFrame.dtypes property to print the data types of each attribute of the dataset.

We can use the following Python code for that purpose:

import pandas

data = pandas.read_csv("iris.csv")
print(data.dtypes)

Here, we first import the pandas module and then, use the pandas.read_csv() function to read from a CSV file. The pandas.read_csv() function returns a DataFrame. We now use the pandas.DataFrame.dtypes property to print the data types of each attribute of the dataset.

The output of the above program will be like the following:

sepal_length    float64
sepal_width     float64
petal_length    float64
petal_width     float64
species          object
dtype: object

Please note that “iris.csv” file contains various information such as petal length, petal width, sepal length, sepal width, and species of each flowers. So, the dataset contains five columns all total. From the above output, we can see that the first four columns contain floating point numbers. And the last column contains objects. Actually, the last column contains strings objects.

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