semvec/pypi-packages huggingface dataset:
pandas-units-extension 0.1.0
Extension pandas dtype and array for physical units.
License: MIT
Requires Python: >=3.6

# Extension pandas dtype and array for physical units

**Warning:** Not fully compatible with pandas yet, especially not so for 1.0. Some operations may or may not work, while common ones should.

## History

Originally created for PyCon CZ 2019 (and later BI FÃ³rum Budapest / PyData Cambridge the same year).

## Installation

```bash
pip install pandas-units-extensions
```

For development:

```bash
pip install -e .
```

## Examples

```python
import pandas as pd
import pandas_units_extension as _

temps = pd.DataFrame({
    "city": ["Prague", "Kathmandu", "Catania", "Boston"],
    "temperature": pd.Series([20, 22, 31, 16], dtype="unit[deg_C]")
})
temps["temperature"].units.to("deg_F")

...

df = pd.DataFrame({
    "distance": pd.Series([10, 12, 22, 18], dtype="unit[km]"),
    "time": pd.Series([50, 60, 120, 108], dtype="unit[min]")
})
speed = df["distance"] / df["time"]
speed.units.to_si()
```

See [doc/units.ipynb](doc/units.ipynb) for more.

## Links

- <https://www.astropy.org/>
- <https://pint.readthedocs.io/en/0.10.1/pint-pandas.html> - Another library supporting units inside pandas.
101703088-topsis 1.0.6
A Python package to choose the best alternative from a finite set of decision alternatives.
License: MIT

TOPSIS Package

TOPSIS stands for Technique for Oder Preference by Similarity to Ideal Solution.
It is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. An assumption of TOPSIS is that the criteria are monotonically increasing or decreasing. In this Python package Vector Normalization has been implemented.

This package has been created based on Project 1 of course UCS633. 
Anurag Aggarwal COE-4 101703088

In Command Prompt
>topsis data.csv "1,1,1,1" "+,+,-,+"
topsis-anurag-101703088 1.0.5
A Python package to choose the best alternative from a finite set of decision alternatives.
License: MIT

TOPSIS Package

TOPSIS stands for Technique for Oder Preference by Similarity to Ideal Solution.
It is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion. An assumption of TOPSIS is that the criteria are monotonically increasing or decreasing. In this Python package Vector Normalization has been implemented.

This package has been created based on Project 1 of course UCS633. 
Anurag Aggarwal COE-4 101703088

In Command Prompt
>topsis data.csv "1,1,1,1" "+,+,-,+"