How to write output to textfile using Dask?

How to write output to textfile using Dask?

How to write output to textfile using Dask?

This recipe helps you write output to textfile using Dask


Recipe Objective.

How to write to textfile using Dask

Dask Dataframes works very similar to pandas DataFrames it can store and write data in many formats similarly. Here we will write the data in textfile with the popular parquet formats.

Step 1- Importing Libraries.

import dask.dataframe as dd

Step 2- Reading the file.

We have to define the path of the dataset from where we are going to read the text and process later.

df = dd.read_csv('./data/people/*.csv')

Step 3- Saving the file in writable format.

df.to_parquet('./tmp/people_parquet2', write_index=False)

we will store our data in Parquet format which is more efficient for computers to write.

Relevant Projects

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.

Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.

Loan Eligibility Prediction in Python using
In this loan prediction project you will build predictive models in Python using to predict if an applicant is able to repay the loan or not.

Expedia Hotel Recommendations Data Science Project
In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.

Human Activity Recognition Using Multiclass Classification in Python
In this human activity recognition project, we use multiclass classification machine learning techniques to analyse fitness dataset from a smartphone tracker.

Predict Macro Economic Trends using Kaggle Financial Dataset
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.

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.

Time Series Forecasting with LSTM Neural Network Python
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

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.

Machine Learning Project to Forecast Rossmann Store Sales
In this machine learning project you will work on creating a robust prediction model of Rossmann's daily sales using store, promotion, and competitor data.