How to flatten a record to dataframe in dask?

This recipe helps you flatten a record to dataframe in dask

Recipe Objective.

How to flatten a record to dataframe in dask.

Dask arrays outline an outsized array with a grid of blocks of smaller arrays. we will flatten down this list by using list.flatten(). This technique can flatten a multi-dimensional array in python. These strategies are fairly new and solely works within the latest versions of recent browsers.

Step 1- Importing Libraries.

Before importing Libraries, sometimes We have to install their packages.

#! pip install dask[bag] import dask.bag as db

Step 2- Making a 2D list.

We will create a sample 2D list so that we can flatten it.

a = db.from_sequence([[1], [2, 3],[1,2,3,4,5,6,7]]) list(a)

Step 3- Flattening the list.

Now applying the provided function by Dask to the Sample array.

list(a.flatten())

What Users are saying..

profile image

Ray han

Tech Leader | Stanford / Yale University
linkedin profile url

I think that they are fantastic. I attended Yale and Stanford and have worked at Honeywell,Oracle, and Arthur Andersen(Accenture) in the US. I have taken Big Data and Hadoop,NoSQL, Spark, Hadoop... Read More

Relevant Projects

Deep Learning Project for Time Series Forecasting in Python
Deep Learning for Time Series Forecasting in Python -A Hands-On Approach to Build Deep Learning Models (MLP, CNN, LSTM, and a Hybrid Model CNN-LSTM) on Time Series Data.

Walmart Sales Forecasting Data Science Project
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.

End-to-End Speech Emotion Recognition Project using ANN
Speech Emotion Recognition using RAVDESS Audio Dataset - Build an Artificial Neural Network Model to Classify Audio Data into various Emotions like Sad, Happy, Angry, and Neutral

Learn to Build an End-to-End Machine Learning Pipeline - Part 1
In this Machine Learning Project, you will learn how to build an end-to-end machine learning pipeline for predicting truck delays, addressing a major challenge in the logistics industry.

AI Video Summarization Project using Mixtral, Whisper, and AWS
In this AI Video Summarization Project, you will build a quiz generation tool by extracting key concepts from educational videos and generating concise summaries.

Build a Credit Default Risk Prediction Model with LightGBM
In this Machine Learning Project, you will build a classification model for default prediction with LightGBM.

Multi-Class Text Classification with Deep Learning using BERT
In this deep learning project, you will implement one of the most popular state of the art Transformer models, BERT for Multi-Class Text Classification

Build Real Estate Price Prediction Model with NLP and FastAPI
In this Real Estate Price Prediction Project, you will learn to build a real estate price prediction machine learning model and deploy it on Heroku using FastAPI Framework.

Build CI/CD Pipeline for Machine Learning Projects using Jenkins
In this project, you will learn how to create a CI/CD pipeline for a search engine application using Jenkins.

Data Analysis of Working Capital Management using Tableau
In this Data Analysis Project using Tableau, you will focus on optimizing working capital by analyzing receivables and payables data using Tableau and build actionable dashboards.

OSZAR »