In [1]:
import datetime
from highcharts import Highstock
H = Highstock()
data = [
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[datetime.datetime(2014,11,12),0.8040],
[datetime.datetime(2014,11,13),0.8015],
[datetime.datetime(2014,11,14),0.7985],
[datetime.datetime(2014,11,16),0.7988],
[datetime.datetime(2014,11,17),0.8032],
[datetime.datetime(2014,11,18),0.7976],
[datetime.datetime(2014,11,19),0.7965],
[datetime.datetime(2014,11,20),0.7975],
[datetime.datetime(2014,11,21),0.8071],
[datetime.datetime(2014,11,23),0.8082],
[datetime.datetime(2014,11,24),0.8037],
[datetime.datetime(2014,11,25),0.8016],
[datetime.datetime(2014,11,26),0.7996],
[datetime.datetime(2014,11,27),0.8022],
[datetime.datetime(2014,11,28),0.8031],
[datetime.datetime(2014,11,30),0.8040],
[datetime.datetime(2014,12,1),0.8020],
[datetime.datetime(2014,12,2),0.8075],
[datetime.datetime(2014,12,3),0.8123],
[datetime.datetime(2014,12,4),0.8078],
[datetime.datetime(2014,12,5),0.8139],
[datetime.datetime(2014,12,7),0.8135],
[datetime.datetime(2014,12,8),0.8119],
[datetime.datetime(2014,12,9),0.8081],
[datetime.datetime(2014,12,10),0.8034],
[datetime.datetime(2014,12,11),0.8057],
[datetime.datetime(2014,12,12),0.8024],
[datetime.datetime(2014,12,14),0.8024],
[datetime.datetime(2014,12,15),0.8040],
[datetime.datetime(2014,12,16),0.7993],
[datetime.datetime(2014,12,17),0.8102],
[datetime.datetime(2014,12,18),0.8139],
[datetime.datetime(2014,12,19),0.8177],
[datetime.datetime(2014,12,21),0.8180],
[datetime.datetime(2014,12,22),0.8176],
[datetime.datetime(2014,12,23),0.8215],
[datetime.datetime(2014,12,24),0.8200],
[datetime.datetime(2014,12,25),0.8182],
[datetime.datetime(2014,12,26),0.8213],
[datetime.datetime(2014,12,28),0.8218],
[datetime.datetime(2014,12,29),0.8229],
[datetime.datetime(2014,12,30),0.8225],
[datetime.datetime(2014,12,31),0.8266],
[datetime.datetime(2015,1,1),0.8262],
[datetime.datetime(2015,1,2),0.8331],
[datetime.datetime(2015,1,4),0.8371],
[datetime.datetime(2015,1,5),0.8380],
[datetime.datetime(2015,1,6),0.8411],
[datetime.datetime(2015,1,7),0.8447],
[datetime.datetime(2015,1,8),0.8480],
[datetime.datetime(2015,1,9),0.8445],
[datetime.datetime(2015,1,11),0.8425],
[datetime.datetime(2015,1,12),0.8451],
[datetime.datetime(2015,1,13),0.8495],
[datetime.datetime(2015,1,14),0.8482],
[datetime.datetime(2015,1,15),0.8598],
[datetime.datetime(2015,1,16),0.8643],
[datetime.datetime(2015,1,18),0.8648],
[datetime.datetime(2015,1,19),0.8617],
[datetime.datetime(2015,1,20),0.8658],
[datetime.datetime(2015,1,21),0.8613],
[datetime.datetime(2015,1,22),0.8798],
[datetime.datetime(2015,1,23),0.8922],
[datetime.datetime(2015,1,25),0.8990],
[datetime.datetime(2015,1,26),0.8898],
[datetime.datetime(2015,1,27),0.8787],
[datetime.datetime(2015,1,28),0.8859],
[datetime.datetime(2015,1,29),0.8834],
[datetime.datetime(2015,1,30),0.8859],
[datetime.datetime(2015,2,1),0.8843],
[datetime.datetime(2015,2,2),0.8817],
[datetime.datetime(2015,2,3),0.8710],
[datetime.datetime(2015,2,4),0.8813],
[datetime.datetime(2015,2,5),0.8713],
[datetime.datetime(2015,2,6),0.8837],
[datetime.datetime(2015,2,8),0.8839],
[datetime.datetime(2015,2,9),0.8831],
[datetime.datetime(2015,2,10),0.8833],
[datetime.datetime(2015,2,11),0.8823],
[datetime.datetime(2015,2,12),0.8770],
[datetime.datetime(2015,2,13),0.8783],
[datetime.datetime(2015,2,15),0.8774],
[datetime.datetime(2015,2,16),0.8807],
[datetime.datetime(2015,2,17),0.8762],
[datetime.datetime(2015,2,18),0.8774],
[datetime.datetime(2015,2,19),0.8798],
[datetime.datetime(2015,2,20),0.8787],
[datetime.datetime(2015,2,22),0.8787],
[datetime.datetime(2015,2,23),0.8824],
[datetime.datetime(2015,2,24),0.8818],
[datetime.datetime(2015,2,25),0.8801],
[datetime.datetime(2015,2,26),0.8931],
[datetime.datetime(2015,2,27),0.8932],
[datetime.datetime(2015,3,1),0.8960],
[datetime.datetime(2015,3,2),0.8941],
[datetime.datetime(2015,3,3),0.8948],
[datetime.datetime(2015,3,4),0.9026],
[datetime.datetime(2015,3,5),0.9066],
[datetime.datetime(2015,3,6),0.9222],
[datetime.datetime(2015,3,8),0.9221],
[datetime.datetime(2015,3,9),0.9214],
[datetime.datetime(2015,3,10),0.9347],
[datetime.datetime(2015,3,11),0.9482],
[datetime.datetime(2015,3,12),0.9403],
[datetime.datetime(2015,3,13),0.9528],
[datetime.datetime(2015,3,15),0.9541],
[datetime.datetime(2015,3,16),0.9462],
[datetime.datetime(2015,3,17),0.9435],
[datetime.datetime(2015,3,18),0.9203],
[datetime.datetime(2015,3,19),0.9381],
[datetime.datetime(2015,3,20),0.9241],
[datetime.datetime(2015,3,22),0.9237],
[datetime.datetime(2015,3,23),0.9135],
[datetime.datetime(2015,3,24),0.9152],
[datetime.datetime(2015,3,25),0.9114],
[datetime.datetime(2015,3,26),0.9188],
[datetime.datetime(2015,3,27),0.9184],
[datetime.datetime(2015,3,29),0.9188],
[datetime.datetime(2015,3,30),0.9231],
[datetime.datetime(2015,3,31),0.9319],
[datetime.datetime(2015,4,1),0.9291],
[datetime.datetime(2015,4,2),0.9188],
[datetime.datetime(2015,4,3),0.9109],
[datetime.datetime(2015,4,5),0.9091],
[datetime.datetime(2015,4,6),0.9154],
[datetime.datetime(2015,4,7),0.9246],
[datetime.datetime(2015,4,8),0.9276],
[datetime.datetime(2015,4,9),0.9382],
[datetime.datetime(2015,4,10),0.9431],
[datetime.datetime(2015,4,12),0.9426],
[datetime.datetime(2015,4,13),0.9463],
[datetime.datetime(2015,4,14),0.9386],
[datetime.datetime(2015,4,15),0.9357],
[datetime.datetime(2015,4,16),0.9293],
[datetime.datetime(2015,4,17),0.9254],
[datetime.datetime(2015,4,19),0.9251],
[datetime.datetime(2015,4,20),0.9312],
[datetime.datetime(2015,4,21),0.9315],
[datetime.datetime(2015,4,22),0.9323],
[datetime.datetime(2015,4,23),0.9236],
[datetime.datetime(2015,4,24),0.9196],
[datetime.datetime(2015,4,26),0.9201],
[datetime.datetime(2015,4,27),0.9184],
[datetime.datetime(2015,4,28),0.9106],
[datetime.datetime(2015,4,29),0.8983],
[datetime.datetime(2015,4,30),0.8909],
[datetime.datetime(2015,5,1),0.8928],
[datetime.datetime(2015,5,3),0.8941],
[datetime.datetime(2015,5,4),0.8972],
[datetime.datetime(2015,5,5),0.8940],
[datetime.datetime(2015,5,6),0.8808],
[datetime.datetime(2015,5,7),0.8876],
[datetime.datetime(2015,5,8),0.8925],
[datetime.datetime(2015,5,10),0.8934],
[datetime.datetime(2015,5,11),0.8964],
[datetime.datetime(2015,5,12),0.8917],
[datetime.datetime(2015,5,13),0.8805],
[datetime.datetime(2015,5,14),0.8764],
[datetime.datetime(2015,5,15),0.8732],
[datetime.datetime(2015,5,17),0.8737],
[datetime.datetime(2015,5,18),0.8838],
[datetime.datetime(2015,5,19),0.8969],
[datetime.datetime(2015,5,20),0.9014],
[datetime.datetime(2015,5,21),0.8999],
[datetime.datetime(2015,5,22),0.9076],
[datetime.datetime(2015,5,24),0.9098],
[datetime.datetime(2015,5,25),0.9110],
[datetime.datetime(2015,5,26),0.9196],
[datetime.datetime(2015,5,27),0.9170],
[datetime.datetime(2015,5,28),0.9133],
[datetime.datetime(2015,5,29),0.9101],
[datetime.datetime(2015,5,31),0.9126],
[datetime.datetime(2015,6,1),0.9151],
[datetime.datetime(2015,6,2),0.8965],
[datetime.datetime(2015,6,3),0.8871],
[datetime.datetime(2015,6,4),0.8898],
[datetime.datetime(2015,6,5),0.8999],
[datetime.datetime(2015,6,7),0.9004],
[datetime.datetime(2015,6,8),0.8857],
[datetime.datetime(2015,6,9),0.8862],
[datetime.datetime(2015,6,10),0.8829],
[datetime.datetime(2015,6,11),0.8882],
[datetime.datetime(2015,6,12),0.8873],
[datetime.datetime(2015,6,14),0.8913],
[datetime.datetime(2015,6,15),0.8862],
[datetime.datetime(2015,6,16),0.8891],
[datetime.datetime(2015,6,17),0.8821],
[datetime.datetime(2015,6,18),0.8802],
[datetime.datetime(2015,6,19),0.8808],
[datetime.datetime(2015,6,21),0.8794],
[datetime.datetime(2015,6,22),0.8818],
[datetime.datetime(2015,6,23),0.8952],
[datetime.datetime(2015,6,24),0.8924],
[datetime.datetime(2015,6,25),0.8925],
[datetime.datetime(2015,6,26),0.8955],
[datetime.datetime(2015,6,28),0.9113],
[datetime.datetime(2015,6,29),0.8900],
[datetime.datetime(2015,6,30),0.8950]
]
startDate = data[len(data) - 1][0]
minRate = 1
maxRate = 0
endDate = datetime.datetime(startDate.year, startDate.month - 3, startDate.day) #a quarter of a year before last data point
for i in range(len(data)-1, 0, -1):
date = data[i][0]
rate = data[i][1]
if date < endDate:
break # stop measuring highs and lows
if rate > maxRate:
maxRate = rate
if rate < minRate:
minRate = rate
H.add_data_set(data, 'line', 'USD to EUR', tooltip = {
'valueDecimals': 4
})
options = {
'rangeSelector': {
'selected': 1
},
'title': {
'text': 'USD to EUR exchange rate'
},
'yAxis': {
'title': {
'text': 'Exchange rate'
},
'plotBands': [{
'from': minRate,
'to': maxRate,
'color': 'rgba(68, 170, 213, 0.2)',
'label': {
'text': 'Last quarter year\'s value range'
}
}]
},
}
H.set_dict_options(options)
H
Out[1]: