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import csv
import operator
import numpy as np
%matplotlib notebook
import re
import json
import matplotlib as mpl   
import matplotlib.pyplot as plt
from __future__ import print_function, division

a = []
b = []
ab = np.empty((43,2))
with open('geocoordinatedata.csv', 'rt', encoding='utf8') as csvfile:
    csv.reader(csvfile, delimiter=' ', quotechar='|')
    sort = sorted(csvfile, key=operator.itemgetter(0))
    
    for eachline in sort:
        coordinates = eachline.split('":{"type":"Point","coordinates":')[1].split('},"source')[0]
        filtered_tweets = list(filter(bool, re.split('[^a-z]', json.loads(eachline)["text"].lower())))
        x = (coordinates.split('[')[1].split(',')[0])
        y = (coordinates.split(',')[1].split(']')[0])
        x_float, y_float = float(x), float(y)
        a.append(x_float)
        b.append(y_float)
        a_array, b_array = np.asarray(a), np.asarray(b)
    print(a_array)
    print() 
    print(b_array)
    final = np.stack((a_array, b_array), axis=1)
    print(final)
    
    fig = plt.figure(figsize=(10,5))
    ax = fig.add_subplot(1, 1, 1)
    plt.scatter(final[:,0], final[:,1], label='Exact Tweet Coordinates')
    
    ax.set_xlabel("Longitude: x")
    ax.set_ylabel("Latitude: y")
    ax.set_title("A simple plot.")
    ax.legend()
    ax.grid("on")


    

    




[-4.2774     -4.29974    -4.24042661 -4.2547953  -4.25660772 -4.25784643
 -4.2635247  -4.25157012 -4.25510107 -4.24772515 -4.2858347  -4.259
 -4.24078635 -4.2799087  -4.259      -4.25657249 -4.26105    -4.259      -4.2553
 -4.23669444 -4.2835689  -4.31388169 -4.2430915  -4.24090034 -4.2492289
 -4.24079493 -4.2835689  -4.249699   -4.29193    -4.18333    -4.2835689
 -4.25297686 -4.27076771 -4.2630401  -4.25566743 -4.259      -4.28533933
 -4.2667922  -4.26437688 -4.2835689  -4.28533933 -4.259      -4.25566743]

[ 55.8715      55.86455     55.86405543  55.8573154   55.86545086
  55.86118449  55.8406719   55.86712477  55.86222225  55.86031524
  55.828935    55.858       55.86135313  55.8308287   55.858       55.86549316
  55.8376      55.858       55.8574      55.85516667  55.8662949
  55.84718953  55.8570197   55.86147965  55.8546672   55.86136883
  55.8662949   55.8570333   55.8682      55.8167      55.8662949
  55.86245205  55.86448912  55.8651484   55.86235105  55.858       55.85992997
  55.8651945   55.86555882  55.8662949   55.85992997  55.858       55.86235105]
[[ -4.2774      55.8715    ]
 [ -4.29974     55.86455   ]
 [ -4.24042661  55.86405543]
 [ -4.2547953   55.8573154 ]
 [ -4.25660772  55.86545086]
 [ -4.25784643  55.86118449]
 [ -4.2635247   55.8406719 ]
 [ -4.25157012  55.86712477]
 [ -4.25510107  55.86222225]
 [ -4.24772515  55.86031524]
 [ -4.2858347   55.828935  ]
 [ -4.259       55.858     ]
 [ -4.24078635  55.86135313]
 [ -4.2799087   55.8308287 ]
 [ -4.259       55.858     ]
 [ -4.25657249  55.86549316]
 [ -4.26105     55.8376    ]
 [ -4.259       55.858     ]
 [ -4.2553      55.8574    ]
 [ -4.23669444  55.85516667]
 [ -4.2835689   55.8662949 ]
 [ -4.31388169  55.84718953]
 [ -4.2430915   55.8570197 ]
 [ -4.24090034  55.86147965]
 [ -4.2492289   55.8546672 ]
 [ -4.24079493  55.86136883]
 [ -4.2835689   55.8662949 ]
 [ -4.249699    55.8570333 ]
 [ -4.29193     55.8682    ]
 [ -4.18333     55.8167    ]
 [ -4.2835689   55.8662949 ]
 [ -4.25297686  55.86245205]
 [ -4.27076771  55.86448912]
 [ -4.2630401   55.8651484 ]
 [ -4.25566743  55.86235105]
 [ -4.259       55.858     ]
 [ -4.28533933  55.85992997]
 [ -4.2667922   55.8651945 ]
 [ -4.26437688  55.86555882]
 [ -4.2835689   55.8662949 ]
 [ -4.28533933  55.85992997]
 [ -4.259       55.858     ]
 [ -4.25566743  55.86235105]]






    















    

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