Python Scikit learn: Print the keys, number of rows-columns, feature names and the description of the Iris data
Python Machine learning Iris Basic: Exercise-2 with Solution
Write a Python program using Scikit-learn to print the keys, number of rows-columns, feature names and the description of the Iris data.
Sample Solution:
Python Code:
import pandas as pd
iris_data = pd.read_csv("iris.csv")
print("\nKeys of Iris dataset:")
print(iris_data.keys())
print("\nNumber of rows and columns of Iris dataset:")
print(iris_data.shape)
Sample Output:
Keys of Iris dataset: Index(['Id', 'SepalLengthCm', 'SepalWidthCm', 'PetalLengthCm', 'PetalWidthCm', 'Species'], dtype='object') Number of rows and columns of Iris dataset: (150, 6)
Python Code Editor:
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Previous: Write a Python program to load the iris data from a given csv file into a dataframe and print the shape of the data, type of the data and first 3 rows.
Next: Write a Python program to get the number of observations, missing values and nan values.
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https://w3resource.com/machine-learning/scikit-learn/iris/python-machine-learning-scikit-learn-iris-basic-exercise-2.php
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