semvec/pypi-packages huggingface dataset:
yeastmlp 1.0.3
Python package for analysis of Multicellular-like phenotype formation in yeast species
Keywords: python,yeast,biology,multicellularity,adhesion,flocculation

Python package for analysis of Multicellular-like phenotype formation in yeast, for more information see https://github.com/BKover99/yeastmlp. For all correspondence, email bence.kover.19 *"at"* ucl.ac.uk
named-sequence 1.0
list like object allowing selection by name and index

named_sequence - list like object allowing selection by name and index
====================================================

This package contains the class NamedSequence.  
This class reproduces the behaviour of a list (from which it inherits) but most list special functions such as \__getitem__ allow name and index as argument.  
Methods formerly returning list (such as slicing with \__getitem__ or copy) now return a NamedSequence instance.

NamedSequence instances requires an additional argument : the name of the method of the items to get their name.


# Basic usage
## Instanciation
```python
from named_sequence import NamedSequence

class NamedItem(object):  # Used only to illusrate the behaviour
    def __init__(self, name):
        self.__name = name

    def get_name(self):
        return self.__name

the_instance = NamedSequence((NamedItem("a"), NamedItem("b")), "get_name")
```

## getting or setting items
```python
a1 = the_instance["a"]
a2 = the_instance[0]
a1 is a2
>>> True

the_instance["b"] = NamedItem("a")
the_instance["b"] = NamedItem("d")  # the name "b" no more exists
>>> KeyError: "No item named 'b' !

the_instance["a"] = NamedItem("a2")  # When name are present several time, the fist occurence is considered
for elem in the_instance:
    print(elem.get_name())
>>> a2
>>> a
```
column-cleaner 0.0.2
A column cleaner, which will clean the numerical values and spaces
Requires Python: >=3.6
Keywords: column cleaner,number cleaner,space cleaner

# Column Cleaner for a Dataframe
 
[![Python 3.6](https://img.shields.io/badge/python-3.6-blue.svg)](https://www.python.org/downloads/release/python-360/)   

## Functionality of the Column Cleaner

- It will replace space with "_".
- It will remove the numbers.


## Usage

- Make sure you have Python installed in your system.
- Run Following command in the CMD.
 ```
  pip install column_cleaner
  ```

## Note 
- I have tried to implement all the functionality, it might have some bugs also. Ignore that or please try to solve that bug.