Pandas DataFrame Manipulation Methods

The Pandas DataFrame is a two-dimensional data structure used for storing and manipulating data. It has numerous methods available for data manipulation.

1. Selecting Data: Data can be selected using column names or conditions.
2. Edit data: You can change the values of existing data or add new data.
3. Filter data: Data can be filtered based on conditions.
4. Sort data: Data can be sorted based on a specified column.
5. Grouping data: Data can be grouped according to specified columns.
6. Aggregate data: it is possible to perform aggregation operations on the data, such as sum, average, count, etc.
7. Merge data: It is possible to combine multiple DataFrames into one.
8. Dealing with missing values: It is possible to handle missing values in the data.
9. Create visualizations of data: Use the built-in drawing functions to visualize data.

Here are some common methods for manipulating Pandas DataFrames, you can choose the appropriate one based on your specific needs.