Python Scikit learn: Get the number of observations, missing values and nan values

Python Machine learning Iris Basic: Exercise-3 with Solution

Write a Python program to get the number of observations, missing values and nan values.

Sample Solution:

Python Code:

import pandas as pd
iris = pd.read_csv("iris.csv")
print(iris.info())

Samole Output:

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 150 entries, 0 to 149
Data columns (total 6 columns):
 #   Column         Non-Null Count  Dtype  
---  ------         --------------  -----  
 0   Id             150 non-null    int64  
 1   SepalLengthCm  150 non-null    float64
 2   SepalWidthCm   150 non-null    float64
 3   PetalLengthCm  150 non-null    float64
 4   PetalWidthCm   150 non-null    float64
 5   Species        150 non-null    object 
dtypes: float64(4), int64(1), object(1)
memory usage: 7.2+ KB
None

Python Code Editor:

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Previous: Write a Python program using Scikit-learn to print the keys, number of rows-columns, feature names and the description of the Iris data.
Next: Write a Python program to create a 2-D array with ones on the diagonal and zeros elsewhere. Now convert the NumPy array to a SciPy sparse matrix in CSR format.