semvec/pypi-packages huggingface dataset:
op_mewtwo 0.1
mewtwo - RiskDataframe
License: MIT

**# op_mewtwo**

This package contains a python class called Risk Dataframe which contains methods to perform a missing not at random analysis and to automate a risk-based segmentation process by analyzing all the features in the dataset and identifying the best split for segmenting each feature. 

In order to effectively use the methods in this class, some degree of data cleaning and preparation will be required. A demo file using a Car Loans Portfolio Dataset is provided.


To access the Risk Dataframe class within the Mewtwo package, please do the following,

**from op_mewtwo.RiskDataframe import RiskDataframe**
detadict 0.1.0
Python dict with Deta backend
License: MIT
Requires Python: >=3.7,<4.0
Keywords: deta,dict

# detadict

__Goal:__ create dictionary that fully compatible with native python dictionary interface.

__Example:__
```python
from detadict import detadict

users = detadict()
users["John"] = {
  "id": 1,
  "sex": "male"
}
users["Katy"] = {
  "id": 2,
  "sex": "female"
}
```

__Requirements:__

🤦‍♂️ All you need to do is set the environment variable `DETA_PROJECT_KEY` with the Deta project key.

__Currently not supported__:

- Update of mutable values

```python
users["John"]["sex"] = "female"
print(users["John"])  # {"id": 1, "sex": "male"}
```

- `copy` and `setdefault` methods

```python
# raise NotImplementedError
users.copy()
users.setdefault("Bob", {})
```

__Installing__:
```bash
pip install detadict
```