semvec/pypi-packages huggingface dataset:
Candlestick 0.0.8
A package for finding the candlestick patterns from OHLC data
Requires Python: >=3.6

Candlestick Analyser.

Version - 0.0.8

Dataframe with column names of Date, Open, High, Low, Close, Volume

Whats New - Dark Cloud Cover, Piercing Pattern 

example:
import Pattern

Pattern.doji(df) :- will add column named 'Doji' in dataframe where True for detected doji and False for rest.

Pattern.gravestone_doji(df) :- will add column named 'Gravestone' in dataframe where True for detected gravestone doji and False for rest.

Pattern.dragonfly_doji(df) :- will add column named 'Dragonfly' in dataframe where True for detected dragonfly doji and  False for rest.
    
Pattern.longleg_doji(df) :- will add column named 'LongLeg' in dataframe where True for detected longleg doji and False for rest.
    
Pattern.Hammer_Hanging_Man(df) :- will add column named 'Hammer' in dataframe where True for detected Hammer or Hanging Man and False for rest.

Pattern.Inv_Hammer(df) :- will add column named 'Inv_Hammer' in dataframe where True for detected Inverted Hammer or Shooting Star and  False for rest.
    
Pattern.Spinning_Top(df) :- will add column named 'Spinning' in dataframe where True for detected spinning top and False for rest.

Pattern.Marubozu(df) :- will add column named 'Bull_Marubozu' & 'Bear_Marubouzu' in dataframe where 'Bull_Marubouzu' True for detected Bullish Marubozu & 'Bear_Marubozu' for detected Bearish Marubozu False for rest of both column.

Pattern.Engulf(df) :- will add column named 'BullEngulf' 'BearEngulf' in dataframe where 'BullEngulf' True for detected Bullish Engulfing & 'BearEngulf' for detected Bearish Engulfing False for rest of both column.

Pattern.Engulfing(df) :- will add column named 'SBullEngulf' 'SBearEngulf' in dataframe where 'SBullEngulf' True for detected Bullish Engulfing & 'SBearEngulf' for detected Bearish Engulfing False for rest of both column.

Pattern.Harami(df) :- will add column named 'BullHarami' 'BearHarami' in dataframe where 'BullHarami' True for detected Bullish Harami & 'BearHarami' for detected Bearish Harami False for rest of both column.

Pattern.DarkCloudCover(df) :- will add column named 'DarkCloud' in dataframe where True for detected Dark Cloud Cover pattern and False for rest.

Pattern.PiercingPattern(df) :- will add column named 'Piercing' in dataframe where True for detected Piercing Pattern and False for rest.
remove-apt-repository 1.1
a smal tool for remove apt repositories

# remove-apt-repository
a smal tool for remove apt repositories

Installation
===
run this command as root:
```bash
sudo pip install remove-apt-repository
```
**NOTE: you won't be able to use the program if you don't install it as root.**

Usage
===
just run it as root in the terminal:
```bash
sudo remove-apt-repository
```