semvec/pypi-packages huggingface dataset:
pyransac 1.1.3
A general random sample consensus (RANSAC) package
Requires Python: >=3.7
Keywords: random sample consensus ransac

![](https://github.com/MeelonUsk/pyransac/workflows/Continuous%20Integration/badge.svg)
[![codecov](https://codecov.io/gh/MeelonUsk/pyransac/branch/master/graph/badge.svg)](https://codecov.io/gh/MeelonUsk/pyransac)
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# `pyransac` package
This package is a general random sample consensus (RANSAC) framework. For
convenience, some data models (such as a straight line) are already provided.
However, you are free to define your own data models to remove outliers from
arbitrary data sets using arbitrary data models.

# General usage
There are two main components to this package: the RANSAC estimator and a
data model. When calling the estimation function `find_inliers`, you need to
specify the model to which you expect your data to fit.

A data model is class containing the model parameters and an error function 
against which you can test your data. Each data model must implement the
interface defined by the `Model` base class. In other words, you need to
implement the `make_model` and `calc_error` functions.

Additionally, you need to provide parameters for the RANSAC algorithm. These 
parameters are contained in the `RansacParams` class.
treeit 0.0.1
tree like,like linux tree command
Requires Python: >=3.0

# treeit

[![Build Status](https://www.travis-ci.org/xunull/treeit.svg?branch=master)](https://www.travis-ci.org/xunull/treeit)

有些终端下,行之间可能有行距间隔,会导致竖线不连续, 一半在linux终端下,是不会出现的
rolltables 0.2.3
Commodity futures roll tables made easy

[![Documentation Status](https://readthedocs.org/projects/rolltables/badge/?version=latest)](https://rolltables.readthedocs.io/en/latest/?badge=latest)

# Rolltables
> resolving commodity future rolls the easy way 

## Installation
The best - and easiest - way to install `rolltables` is by calling:

```python
pip install rolltables 
```

## Documentation
Documentation is hosted on [read the docs](https://rolltables.readthedocs.io/en/latest/)