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@ -5,11 +5,20 @@ The Pandas DataFrame is a two-dimensional, size-mutable, and possibly heterogene
In the real world, Pandas DataFrames are formed by importing datasets from existing storage, which can be a Excel file, a SQL database or CSV file. Pandas DataFrames may be constructed from lists, dictionaries, or lists of dictionaries, etc. In the real world, Pandas DataFrames are formed by importing datasets from existing storage, which can be a Excel file, a SQL database or CSV file. Pandas DataFrames may be constructed from lists, dictionaries, or lists of dictionaries, etc.
Features of Pandas `DataFrame`:
- **Size mutable**: DataFrames are mutable in size, meaning that new rows and columns can be added or removed as needed.
- **Labeled axes**: DataFrames have labeled axes, which makes it easy to keep track of the data.
- **Arithmetic operations**: DataFrames support arithmetic operations on rows and columns.
- **High performance**: DataFrames are highly performant, making them ideal for working with large datasets.
### Installation of libraries ### Installation of libraries
`pip install pandas` <br/> `pip install pandas` <br/>
`pip install xlrd` `pip install xlrd`
- **Note**: The `xlrd` library is used for Excel operations.
Example for reading data from an Excel File: Example for reading data from an Excel File: