Description:
pardos 0.0.1
pardos: Quality of Life extensions for pandas
pardos is a Python package that extends the functionality of pandas, providing additional methods for enhanced data manipulation and analysis. It aims to simplify common data operations and introduce new features to make working with pandas DataFrames and Series more efficient and intuitive.
Methods are provided as custom accessors or directly added as methods for DataFrames and Series, allowing you to perform operations directly on your data without the need for additional functions or libraries.
Features
Custom accessors for DataFrames and Series
Additional data manipulation methods
Time-based operations
Unix-like file operations on paths stored in Series
Human-readable time parsing
Installation
You can install pardos using pip:
pip install pardos
Usage
To use pardos, simply import it after importing pandas:
import pandas as pd
import pardos
Now you can use the additional methods and accessors provided by pardos on your pandas DataFrames and Series.
Examples
Select rows based on column values
df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
result = df.select(A=2)
Add a new column based on existing ones
def new_column(A, B):
return A + B
df.augment(new_column)
Remove constant columns
df = df.drop_constant()
Use human-readable time parsing
df["date"] = pd.to_datetime(df["date"])
recent = df[df["date"].hdt.within("2d")] # Rows within the last 2 days
Perform Unix-like operations on file paths
file_paths = pd.Series(["/path/to/file1.txt", "/path/to/file2.txt"])
file_paths.unix.cp("/new/directory")
Contributing
Contributions to pardos are welcome! Please feel free to submit a Pull Request.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
