Pandas mask() and where() functions are two related functions that are useful in Pandas to find if elements of Pandas dataframe satisfy a condition. They both preserve the shape of the dataframe. In this post, we will first see simple examples of using Pandas where() and mask() functions and then we will learn the key […]
Python
Seaborn version 0.12.0 with ggplot2-like interface
It is just over a month since Seaborn version 0.12.0 is here with a huge update on the way we can make plots using Seaborn. Finally got a chance to test it out. Seaborn version 0.12.0 introduces seaborn.objects interface, inspired by Wilkinson’s grammar of graphics, offers “Pythonic API that is informed by the design of […]
How to Find if Pandas Dataframe is empty
In this tutorial, we will learn how to find if a Pandas dataframe is empty or not. Pandas empty method applied to a Pandas dataframe will tell us if the dataframe is empty or not. Pandas’ empty method will return True if the dataframe is empty and False otherwise. Let us see some examples of […]
Pandas create new column using if else condition
In this quick tutorial, we will learn how to create a new column using if else condition on an existing column in a Pandas dataframe. To add new column using a condional on existing column we will use Numpy’s where function. So, let us load both numby and Pandas to get started. We. will use […]
7 Dimensionality Reduction Techniques by Examples in Python
Dimension Reduction techniques are one of the most useful methods in unsupervised learning of high dimensional datasets. In this post, we will learn how to use Python to perform 7 most commonly used dimensionality reduction techniques by example, PCA: Principal Component Analysis SVD: Singular Value Decomposition ICA: Independent Component Analysis NMF: Non-negative Matrix Factorization FA: […]