How to select elements from Numpy array in Python?

How to select elements from Numpy array in Python?

How to select elements from Numpy array in Python?

This recipe helps you select elements from Numpy array in Python

In [1]:
## How to Select Elements from a Numpy Array
def Kickstarter_Example_3():
    print(format('How to Select Elements from Numpy Array', '*^52'))

    # Load library
    import numpy as np

    # Create row vector
    vector = np.array([1, 2, 3, 4, 5, 6])
    # Select second element

    # Create matrix
    matrix = np.array([[1, 2, 3],
                   [4, 5, 6],
                   [7, 8, 9]])
    # Select second row, second column

    # Create Tensor
    tensor = np.array([
                    [[[1, 1], [1, 1]], [[2, 2], [2, 2]]],
                    [[[3, 3], [3, 3]], [[4, 4], [4, 4]]]
    # Select second element of each of the three dimensions
******How to Select Elements from Numpy Array*******



[4 4]

Relevant Projects

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Loan Eligibility Prediction using Gradient Boosting Classifier
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.

Human Activity Recognition Using Smartphones Data Set
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.

Identifying Product Bundles from Sales Data Using R Language
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.

Ecommerce product reviews - Pairwise ranking and sentiment analysis
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.

Predict Churn for a Telecom company using Logistic Regression
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

Sequence Classification with LSTM RNN in Python with Keras
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset​ using Keras in Python.

Predict Credit Default | Give Me Some Credit Kaggle
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

Data Science Project in Python on BigMart Sales Prediction
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.