Pandas Quick Start Guide
What is Pandas? Pandas is a Python library that used to read, clean, visualize, and process a dataset. Pandas uses a high-performance data analysis functions to manipulate data a structures which called data frame. You can compare this to a table in tools like Excel. Learn Python with Codecademy. Master the skill that your future […]
Pandas Merge and Append Tables
There are multiple ways to join, concatenated and merge data using Pandas. However, it all depends on your use case. For the examples below, we are going to use the example of a pickle shop merging their data with an ice cream shop to create a single data frame. Let’s take a look at the […]
Pandas Cut – Continuous to Categorical
Pandas cut function or pd.cut() function is a great way to transform continuous data into categorical data. The question is why would you want to do this. Here are a few reasons you might want to use the Pandas cut function. Practice your Python skills with Interactive Datasets. Reason to Cut and Bin your Continous Data […]
Create Pivot Tables with Pandas
One of the key actions for any data analyst is to be able to pivot data tables. Luckily Pandas has an excellent function that will allow you to pivot. To create this spreadsheet style pivot table, you will need two dependencies with is Numpy and Pandas. However, in newer iterations, you don’t need Numpy. Let’s […]