Elevate Your Data Game with These 8 Cutting-Edge Pandas Tips

A curated thread 🧵

1) 𝐩𝐝.𝐦𝐞𝐥𝐭

Using for reshaping data; 𝐩𝐝.𝐦𝐞𝐥𝐭 allows you to transform a DataFrame from a wide format to a long format, or vice versa.

This can be useful for data manipulation and preparation for certain types of analysis.

2) 𝐩𝐝.𝐜𝐫𝐨𝐬𝐬𝐭𝐚𝐛

This function creates pivot tables: 𝐩𝐝.𝐜𝐫𝐨𝐬𝐬𝐭𝐚𝐛 allows you to easily generate cross-tabulation tables, which are essentially pivot tables, without having to manually reshape the data.

3) 𝐩𝐝.𝐞𝐯𝐚𝐥

Used for performance optimization; Efficiently evaluates string expressions as Pandas expressions for complex computations, leading to significant performance gains.

However, use it with caution as it can sacrifice readability and security.

4) 𝐝𝐟.𝐫𝐨𝐥𝐥𝐢𝐧𝐠

Calculates a moving statistic (such as mean, sum, or standard deviation) over a specified window of consecutive rows.

5) 𝐝𝐟.𝐧𝐮𝐧𝐢𝐪𝐮𝐞

This Returns the number of unique values in each column of a DataFrame.

Well, folks, that's it for today!

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