semvec/pypi-packages huggingface dataset:
func-pyspark 0.0.4
multiple function for  pyspark dataframe

# func_pyspark
With This Library You can Filter the data. It can be multiple,or single one...Before call this module Your data frame have to be load sucessfuly.this library also handel the joins  and contains function as well



## version
0.0.4
## Authors

- [@RANJIT_MAITY](https://www.linkedin.com/in/ranjit-maity-75204a131/)


## Reales Date 
 08-11-2022
 
 


## Badges

[![MIT License](https://img.shields.io/apm/l/atomic-design-ui.svg?)](https://github.com/tterb/atomic-design-ui/blob/master/LICENSEs)
[![GPLv3 License](https://img.shields.io/badge/License-GPL%20v3-yellow.svg)](https://opensource.org/licenses/)
[![AGPL License](https://img.shields.io/badge/license-AGPL-blue.svg)](http://www.gnu.org/licenses/agpl-3.0)


##  About Author
I Am Ranjit From INDIA, a Certified Data scientist , Data Engineer by professional  with hands-on experience of more than 1year and 2months ,on ML> NLP> Data mining > Neural Networks > ModeL Deployment>ETL.
 Give me raw data and I'll return you insights, problems to be rectified and enhancements to achieve the target. I am always on the lookout for new projects to work And 
Am Always Happy â˜» To Play With Data


##  Links

[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/ranjit-maity-75204a131/)
[![twitter](https://img.shields.io/badge/twitter-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white)](https://twitter.com/ranjitmaity95)
econcycle 0.0.8
Get Calculated Economic Cycle
Requires Python: >=3.9

# econcycle

This package is to define economic cycle for a given timeframe. (Inflation, Recession, Goldilocks)

It also gives trend information of the stock.

## Installation

Install package

```sh
pip install econcycle
```

## Getting Started

```python
from econcycle.utils.cycle import Cycle
from econcycle.utils.chart import Chart

start_date = "2020-01-01 00:00:00"
end_date = "2022-11-08 00:00:00"

resolution = "W"

# This period is used to calculate trend of candle data.
# If it is uptrend, the chart is going up,
# If it is downtrend, the chart is going down
period = 5

# Get all cycles (Inlfation, Recession, Goldilocks)
cycle = Cycle(resolution, period, start_date, end_date)
all_cycle = cycle.get_all()

print(all_cycle)

# Get chart data of AAPL
aapl = chart.process("AAPL")
print(aapl)

# Get trend information (uptrend, downtrend)
print(aapl.get("type"))

```

## License

MIT