"""
Analysis class
"""

import numpy as np
import pandas as pd
import matplotlib as plt


class Analysis:

    def __init__(self, angles):
        # Better to put in Pandas dataframe
        self.xAngles = pd.Series({'High' : angles[0][0],
                                    'Low'  : angles[0][1],})
        self.yAngles = pd.Series({'High' : angles[1][0],
                                    'Low'  : angles[1][1]})

        self.results = pd.DataFrame({'Mean' : np.zeros(2),
                                     'Error': np.zeros(2)})

        #TODO: Determine mean and std
        self.rmNone()
        self.Angles(self.xAngles['High'], self.xAngles['Low'], call=0)
        self.Angles(self.yAngles['High'], self.yAngles['Low'], call=1)

        #TODO: Plot

    def rmNone(self):
         self.xAngles['High'] = np.array([x for x in self.xAngles['High'] if x is not None])
         self.xAngles['Low'] = np.array([x for x in self.xAngles['Low'] if x is not None])
         self.yAngles['High'] = np.array([x for x in self.yAngles['High'] if x is not None])
         self.yAngles['Low'] = np.array([x for x in self.yAngles['Low'] if x is not None])

    def Angles(self, high, low, call=0):
        highRev = high[::-1]
        lowRev = low[::-1]
        highBound = highRev[0]
        lowBound = lowRev[0]
        print(highBound,lowBound)
        for a,b in zip(highRev[1:], lowRev[1:]):
            if a < highBound and a > lowBound:
                highBound = a
            if b < highBound and b > lowBound:
                lowBound = b
        error = (highBound - lowBound)/2
        mean = highBound - error
        self.results['Mean'][call] = mean
        self.results['Error'][call] = error

    def Plot(self):
        ...


if __name__ == "__main__":
    high = np.array([6,8,7,10,None])
    low = np.array([5,4,1,3,None])
    '''
    a = pd.DataFrame({'H' : high})
    a['H'] = np.array([x for x in a['H'] if x is not None])
    print(a['H'])
    '''
    angles = [[high, low], [high, low]]
    A = Analysis(angles)
    print(A.results)