Metadata-Version: 2.1
Name: covid19forecast
Version: 1.1.0
Summary: Python Package to get Covid19  Forecasting For all Cases Every Country in future using FBProphet Model
Home-page: https://iraqprogrammer.wordpress.com/
Author: Falah.G.Saleh
Author-email: falahgs07@gmail.com
License: UNKNOWN
Description: # Covid19  Forecasting For all Cases in future using fbprophet model
        
        ## about
        
        Python Package to get Covid19  Forecasting For all Cases  in future
        
        
        
        # Installation
        
        ```
        pip install covid19forecast
        or in colab google cloud
        !pip install covid19forecast
        ```
        
        ## Usage for get first cases (confirmed,recoverd,deaths for any countery)
        
        ```
        from covid19forecast import cases 
        ```
        ```
        # country name
        country='Iraq'
        #path for covide19 dataset   
        path_csv='covid_19_data.csv'
        #name of  folder  
        dir_name='Iraq'
        # name of out result for all cases in new dataset 
        out_csv='iraq.csv'
        # what days number to forecasting for any case 
        next_periods=10
        # what name of dataset for all forecasting for any case
        csv_name='iraq.csv'
        
        ```
        
        ```
        # to get all cases for country 
        all=cases.all_cases(country,path_csv,dir_name,out_csv)
        
        # to get confirmed cases for country 
        confirmed=cases.confirmed_case(country,path_csv,dir_name,out_csv)
        #to get deaths  cases for country 
        deaths=cases.deaths_case(country,path_csv,dir_name,out_csv)
        
        #to get recoverd cases for country 
        recoverd=cases.recoverd_case(country,path_csv,dir_name,out_csv)
        
        
        ```
        
        ## Usage for get Forcasting for all  cases (confirmed,recoverd,deaths for any countery)
        
        ```
        from covid19forecast import forecast 
        ```
        ```
        # to get forecasting for country confirmed case
        forecast.confirmed_forecast(confirmed,next_periods,dir_name,csv_name,country)
        # to get forecasting for country deaths case
        forecast.deaths_forecast(deaths,next_periods,dir_name,csv_name,country)
        # to get forecasting for country recoverd case
        forecast.recoverd_forecast(recoverd,next_periods,dir_name,csv_name,country)
        ```
        ## Checking
        
        To verify the retrieved data within this library
        go to web site to get download new covid19 dataset
        
        https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset
        
        ## Tutorial 
        u can see tutorial in colab 
        
        https://colab.research.google.com/drive/12TnzM0E-oZgsrwlaQ5vYCdhsym6UDNUa
        
        
         
        
        
Keywords: Covid19,CoronaVirus,Forecasting
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
