How to concatenate arrays using dask?

This recipe helps you concatenate arrays using dask

Recipe Objective

How to concatenate arrays using dask

Often we've got several arrays hold on on disk that we would like to stack along and consider jointly massive array. this is common with geospatial data we might have several HDF5/NetCDF files on disk, one for each day, however we would like to try to to operations that span multiple days.

For concatenating we can use the functions `da.stack, da.concatenate, and da.block`.

Learn How to use XLNet for Text Classification

Step 1- Importing Libraries.

import dask.array as da import numpy as np

Step 2- Creating arrays.

We will create two sample dask arrays with chunks of size (1,2) for showing how they can be concatenated

array_0 = da.from_array(np.zeros((12, 16)), chunks=(1, 2)) array_1 = da.from_array(np.ones((12, 16)) , chunks=(1, 2))

Step 3- concatenating arrays.

Concatenating arrays by applying the predefined function.

data = [array_0, array_1] x = da.concatenate(data, axis=1) x.shape

What Users are saying..

profile image

Jingwei Li

Graduate Research assistance at Stony Brook University
linkedin profile url

ProjectPro is an awesome platform that helps me learn much hands-on industrial experience with a step-by-step walkthrough of projects. There are two primary paths to learn: Data Science and Big Data.... Read More

Relevant Projects

Stock Price Prediction Project using LSTM and RNN
Learn how to predict stock prices using RNN and LSTM models. Understand deep learning concepts and apply them to real-world financial data for accurate forecasting.

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.

MLOps Project to Deploy Resume Parser Model on Paperspace
In this MLOps project, you will learn how to deploy a Resume Parser Streamlit Application on Paperspace Private Cloud.

Build an End-to-End AWS SageMaker Classification Model
MLOps on AWS SageMaker -Learn to Build an End-to-End Classification Model on SageMaker to predict a patient’s cause of death.

LLM Project to Build and Fine Tune a Large Language Model
In this LLM project for beginners, you will learn to build a knowledge-grounded chatbot using LLM's and learn how to fine tune it.

NLP Project for Beginners on Text Processing and Classification
This Project Explains the Basic Text Preprocessing and How to Build a Classification Model in Python

House Price Prediction Project using Machine Learning in Python
Use the Zillow Zestimate Dataset to build a machine learning model for house price prediction.

Build a Collaborative Filtering Recommender System in Python
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.

A/B Testing Approach for Comparing Performance of ML Models
The objective of this project is to compare the performance of BERT and DistilBERT models for building an efficient Question and Answering system. Using A/B testing approach, we explore the effectiveness and efficiency of both models and determine which one is better suited for Q&A tasks.

Linear Regression Model Project in Python for Beginners Part 2
Machine Learning Linear Regression Project for Beginners in Python to Build a Multiple Linear Regression Model on Soccer Player Dataset.