A lightweight data manipulation library like pandas
Project description
QuickBytes
QuickBytes is a lightweight Python library designed to handle tabular data stored in a dictionary-like format. It provides essential functionalities for data manipulation, similar to a DataFrame, but with a focus on performance and simplicity. QuickBytes supports common operations like selecting columns, filtering rows, computing statistics, sorting, and more.
Note: QuickBytes is currently under development. Some features may not be fully stable, and the API may change in future releases.
Features
- Head: Retrieve the first
nrows of the data. - Select: Select specific columns from the dataset.
- Mean: Compute the mean of a column.
- Apply: Apply a function to one or more columns.
- Filter: Filter rows based on a condition.
- GroupBy: Group data by a column and apply an aggregation function.
- Sort: Sort the dataset by a specified column.
- To CSV: Export data to a CSV file.
- Fill NA: Fill missing values with a specified value.
- Describe: Generate summary statistics for numeric columns.
- Pivot: Create a pivot table.
- Show: Print the data in a tabular format.
Installation
To install QuickBytes, use pip:
pip install quickbytes
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