Explain bar plots in plotly with various functions?
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

Explain bar plots in plotly with various functions?

Explain bar plots in plotly with various functions?

This recipe explains what bar plots in plotly with various functions

0

Recipe Objective

Explain bar plots in plotly with various functions in it.

Bar plots which represents category of data, these plots can be plot horizontally and vertically. The plot describes the comparisons between the discrete categories.

Step 1 - Import the library

import plotly.express as px

Step 2 - load the sample data

Sample_data = px.data.tips() Sample_data.head()

Step 3 - Plot the graph with group mode

fig = px.bar(Sample_data, x="sex", y="total_bill", barmode="group", color="time") fig.show()

Here from the above figure there are various functions representing the plot in a better way:

X - Represents the data should be plotted on x-axis

Y - Represents the data should be plotted on y-axis

color - Represents the color on plot, which will be a column present in the data.

barmode - It can be group or overlay. Group mode are placed besides each other and overlay mode are drwan on the top of one another.

Step 4 - Plot the graph with overlay mode

fig = px.bar(Sample_data, x="sex", y="total_bill", barmode="overlay", color="time") fig.show()

Relevant Projects

Loan Eligibility Prediction in Python using H2O.ai
In this loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.

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 - Instacart Market Basket Analysis
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

Data Science Project-TalkingData AdTracking Fraud Detection
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

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

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.

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.

Census Income Data Set Project - Predict Adult Census Income
Use the Adult Income dataset to predict whether income exceeds 50K yr based on census 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.

Demand prediction of driver availability using multistep time series analysis
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.