How to create a dataframe in python?
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

How to create a dataframe in python?

How to create a dataframe in python?

This recipe helps you create a dataframe in python

Recipe Objective

While working with dataset, many a times we face a need of creating multidimensional array for storing data. In python, we can easily do it using by using the concept of dataframe.

So this recipe is a short example on how to create a dataframe in python. Let's get started.

Step 1 - Import the library

import pandas as pd

Let's pause and look at these imports. Pandas is generally used for data manipulation and analysis.

Step 2 - Setup the Data

grade_distribution = {'Student': ['Ram','Rohan','Shyam','Mohan'], 'Grade': ['A','C','B','Ex'] }

Let us create a simple dataset and store it in the form of dictionary.

Step 3 - Converting Dataset to Dataframe

Now we simply use pandas library imported earlier to covert the dataset to Dataframe

df = pd.DataFrame(grade_distribution, columns = ['Student','Grade'])

Step 4 - Printing Dataframe

Simply use print function to print the previously created dataframe.

print(df)

Step 5 - Lets look at our dataset now

Once we run the above code snippet, we will see:

Scroll down to the ipython notebook below to see the output.

Relevant Projects

Forecasting Business KPI's with Tensorflow and Python
In this machine learning project, you will use the video clip of an IPL match played between CSK and RCB to forecast key performance indicators like the number of appearances of a brand logo, the frames, and the shortest and longest area percentage in the video.

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.

House Price Prediction Project using Machine Learning
Use the Zillow dataset to follow a test-driven approach and build a regression machine learning model to predict the price of the house based on other variables.

Build a Face Recognition System in Python using FaceNet
In this deep learning project, you will build your own face recognition system in Python using OpenCV and FaceNet by extracting features from an image of a person's face.

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.

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.

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.

Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.

Avocado Machine Learning Project Python for Price Prediction
In this ML Project, you will use the Avocado dataset to build a machine learning model to predict the average price of avocado which is continuous in nature based on region and varieties of avocado.

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.