Python is great for string manipulation. Python’s string manipulation ability was definitely one of the reasons for its popularity initially. Python’s built-in methods lets you do most common string manipulations. Here are the String object methods in Python and how to use them. 1. How to Check a String Ends With a Suffix? Python String […]
Python Tips
Reticulate: a RStudio package to use both R and Python from R Markdown
Do you love working with Python, but just can’t get enough of ggplot, R Markdown or any other tidyverse packages. You are not alone, many love both R and Python and use them all the time. Now RStudio, has made reticulate package that offers awesome set of tools for interoperability between Python and R. One […]
How To Change Column Names and Row Indexes in Pandas?
One of the most common operations one might do while cleaning the data or doing exploratory data analysis in doing data science is manipulating/fixing the column names or row names. In this post, we will see How to rename columns of pandas dataframe? How to change row names or row indexes of a pandas dataframe? […]
PCA Example in Python with scikit-learn
Principal Component Analysis (PCA) is one of the most useful techniques in Exploratory Data Analysis to understand the data, reduce dimensions of data and for unsupervised learning in general. Let us quickly see a simple example of doing PCA analysis in Python. Here we will use scikit-learn to do PCA on a simulated data. Let […]
How to Make Boxplots in Python with Pandas and Seaborn?
Boxplot, introduced by John Tukey in his classic book Exploratory Data Analysis close to 50 years ago, is great for visualizing data distributions from multiple groups. Boxplot captures the summary of the data efficiently with a simple box and whiskers and allows us to compare easily across groups. Boxplots summarizes a sample data using 25th, […]