Merging dataframes allows you to combine multiple data sources into one. In the data world, enriching data often includes merging two datasets together. These datasets can be similar or different. Pandas is a great way to do this in a few lines of code. Below you’ll find easy “copy

Adding a column to a pandas dataframe allows you to create new and useful calculations from existing data in your dataframe. The code you probably want Adding a new column to the end of the dataframe and setting it equal to a transformation of existing columns. import pandas as pd

Pivot tables are the classic requirement on a job posting that you learn the day before the interview. Nobody uses them until you need them, and then they become your best friend. Pivot tables were first featured in Lotus, the precursor to Excel, and then became popularized in Excel 5.

If you concatenate two dataframes, a new dataframe will be created with the rows of the first dataframe above the rows of the second dataframe. The code you probably want To concatenate two dataframes while keeping only the columns they share: import pandas as pd df1 = pd.DataFrame({'A&

What is Mito? A softball to start. Mito is a spreadsheet interface for Python. Edit a spreadsheet. Generate the equivalent Python. You can ingest data, clean data, transform data, visualize data, and share data in the Mitosheet, without needing to write the code yourself. But the answer to this question