Pandas Tutorial

Pandas is an open source Python library which provides data analysis and manipulation in Python programming.

It’s a very promising library in data representation, filtering, and statistical programming. The most important piece in pandas is the DataFrame where you store and play with the data.

In this tutorial, you will learn what is the DataFrame, how to create it from different sources, how to export it to different outputs, and how to manipulate its data.

1 Install pandas

2 Read Excel file

3 Import CSV file

4 Read text file

5 Read SQL

6 Select columns

7 Select rows by value

8 Select row by index

9 Change column type

10 Apply a function to columns/rows

11 Sort Values/sort by column

12 Drop/Remove duplicates

13 Drop duplicates by column

14 Delete a column

15 Delete rows

16 Sum a column

17 Count unique values

18 Subset rows

19 Write to Excel

20 Write to CSV

21 Write to SQL

22 Write to JSON

23 Write to HTML file



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