Replicate Excel VLOOKUP, HLOOKUP, XLOOKUP in Python (DAY 30!!)
Excel LOOKUP formulas are probably one of the most used formulas (at least for me). So today we’ll replicate the[…]
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Create complex calculated columns using applymap()
We previously talked about how to create calculated columns in pandas, and walked through some simple examples. We can create[…]
Read moreSave Python plots into Excel file
We briefly talked about how to create a graph in Python using web data, but it’s not so useful if[…]
Read moreFind and replace Excel data using Python
Today we’ll learn how to replicate a common Excel task – find and replace data in Python. This tutorial is[…]
Read moreHow to create a pandas dataframe
We have seen many different ways to load data into Python using pandas, such as .read_csv() or .read_excel(). Those methods[…]
Read moreSort Excel data using Python
Sorting table is a common task in Excel. We sort a table in order to help us view or use[…]
Read moreSplit text to columns in Python
How many times have you had to split a text in Excel? I bet too many to count. Most Excel[…]
Read moreCreate calculated columns in a dataframe
In Excel, we can create a calculated column by first write a formula (in a cell), then drag down the[…]
Read moreRemove duplicates from a data table
In Excel, we can “easily” remove duplicates from a table by clicking on the “Remove Duplicates” button from the Data[…]
Read moreFilter a pandas dataframe – OR, AND, NOT
This is the second part of the Filter a pandas dataframe tutorial. Today we’ll be talking about advanced filter in[…]
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