• Skip to secondary menu
  • Skip to main content
  • Skip to primary sidebar

Python and R Tips

Learn Data Science with Python and R

  • Home
  • Python
  • Pandas
    • Pandas 101
  • tidyverse
    • tidyverse 101
  • R
  • Linux
  • Conferences
  • Python Books
  • About
    • Privacy Policy
You are here: Home / Archives for Python / Python Tips

Python Tips

Seaborn version 0.12.0 with ggplot2-like interface

October 9, 2022 by cmdlinetips

Add color, size to Seaborn Scatterplot object

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 […]

Filed Under: Python, Python Tips Tagged With: Seaborn grammar of graphics, Seaborn version 0.12.0

How to Find if Pandas Dataframe is empty

September 15, 2022 by cmdlinetips

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 […]

Filed Under: Pandas 101, Python Tips Tagged With: Pandas empty

Pandas create new column using if else condition

September 9, 2022 by cmdlinetips

Add new column using i condition on. existing column in Pandas

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 […]

Filed Under: Pandas 101, Python Tips Tagged With: Pandas new column using if condition

7 Dimensionality Reduction Techniques by Examples in Python

August 18, 2022 by cmdlinetips

Dimensionality Reduction Techniques 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: […]

Filed Under: Python, Python Tips Tagged With: Dimensionality Reduction Techniques in Python, FA Example Python, ICA Example Python, NMF Example Python, PCA Example Python

2 Ways to Randomly Sample Rows from a large CSV file

July 10, 2022 by cmdlinetips

In this post, we will be learning how to randomly sample/select rows from a large CSV file that is either taking too long to load as a Pandas dataframe or can’t load at all. The key idea is to not to load the whole file as a Pandas dataframe. Instead, we use skiprows argument in […]

Filed Under: Pandas 101, Python Tips Tagged With: Python sample a large CSV file

  • « Go to Previous Page
  • Page 1
  • Page 2
  • Page 3
  • Page 4
  • Page 5
  • Page 6
  • Interim pages omitted …
  • Page 20
  • Go to Next Page »

Primary Sidebar

Subscribe to Python and R Tips and Learn Data Science

Learn Pandas in Python and Tidyverse in R

Tags

Altair Basic NumPy Book Review Data Science Data Science Books Data Science Resources Data Science Roundup Data Visualization Dimensionality Reduction Dropbox Dropbox Free Space Dropbox Tips Emacs Emacs Tips ggplot2 Linux Commands Linux Tips Mac Os X Tips Maximum Likelihood Estimation in R MLE in R NumPy Pandas Pandas 101 Pandas Dataframe Pandas Data Frame pandas groupby() Pandas select columns Pandas select_dtypes Python Python 3 Python Boxplot Python Tips R rstats R Tips Seaborn Seaborn Boxplot Seaborn Catplot Shell Scripting Sparse Matrix in Python tidy evaluation tidyverse tidyverse 101 Vim Vim Tips

RSS RSS

  • How to convert row names to a column in Pandas
  • How to resize an image with PyTorch
  • Fashion-MNIST data from PyTorch
  • Pandas case_when() with multiple examples
  • An Introduction to Statistical Learning: with Applications in Python Is Here
  • 10 Tips to customize ggplot2 title text
  • 8 Plot types with Matplotlib in Python
  • PCA on S&P 500 Stock Return Data
  • Linear Regression with Matrix Decomposition Methods
  • Numpy’s random choice() function

Copyright © 2025 · Lifestyle Pro on Genesis Framework · WordPress · Log in

Go to mobile version