4/1/2024 0 Comments Excel split cells functionIn Python, vectorized operation is the standard way to do anything with your data, because it’s hundreds times faster than looping. The vectorized operation is kind of equivalent (on surface) to Excel’s “Text to Columns” button or PowerQuery’s “Split Column”, where we select a column and do something on that entire column. Instead, we use vectorized operation to achieve blazing fast speed. When we use pandas to process data, we never loop. drag down is called a “loop” for a programming language. While this is okay to do in Excel, it’s never the right thing to do in Python. import pandas as pdĭf = pd.read_excel('split_text.xlsx', dtype=)įor people coming from an Excel background and who also tends to use formula to solve this problem, our first reaction is: Okay I’m gonna create a formula probably with find() and left() or mid(), etc. Anyways, let’s focus on how to split a text data. In reality pandas should automatically detect this column is likely a datetime and assign datetime object for it, which makes processing date data even easier. Here I purposely force the Date of Birth column to be a String, so I can show the slicing method. Split the birth dates into year, month and day.
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