10 Pandas Tricks to Make My Data Analyzing Process More Efficient

10 Pandas Tricks to Make My Data Analyzing Process More Efficient

Pandas is probably the most important library in Python for data analysis, it is like the Excel in Python. In this article, I wish to share 10 Pandas tricks that I wish I had known earlier as a beginner.

Pandas is probably the most important library in Python for data analysis, it is like the Excel in Python. In this article, I wish to share 10 Pandas tricks that I wish I had known earlier as a beginner.

I will use my previous article as an example, it explored the air traffic during Covid-19. The dataset contains 7 separate cvs files, containing the flight data for 7 months. Each file has roughly 2,000,000 lines of data.

map

map() is a useful function to replace values in a Series with other values.

For example, if we have a Series of airport code names and we wish to replace them with the full names, we can use mapto do the job.

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replace() is also an option to do this job.

python data-science pandas programming data-analysis

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