# Get this figure: fig = py.get_figure("https://plotly.com/~thalesians/246/")
# Get this figure's data: data = py.get_figure("https://plotly.com/~thalesians/246/").get_data()
# Add data to this figure: py.plot(Data([Scatter(x=[1, 2], y=[2, 3])]), filename ="labour-conservative-wins-GBPUSD-subplot", fileopt="extend")
# Get y data of first trace: y1 = py.get_figure("https://plotly.com/~thalesians/246/").get_data()[0]["y"]

# Get figure documentation: https://plotly.com/python/get-requests/
# Add data documentation: https://plotly.com/python/file-options/

# If you're using unicode in your file, you may need to specify the encoding.
# You can reproduce this figure in Python with the following code!

# Learn about API authentication here: https://plotly.com/python/getting-started
# Find your api_key here: https://plotly.com/settings/api

import plotly.plotly as py
from plotly.graph_objs import *
py.sign_in('username', 'api_key')
trace1 = {
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}
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  "yaxis": "y3", 
  "showlegend": False
}
trace14 = {
  "line": {
    "color": "blue", 
    "width": 2
  }, 
  "mode": "lines", 
  "name": "Conservative Mean", 
  "type": "scatter", 
  "x": [-20, -19, -18, -17, -16, -15, -14, -13, -12, -11, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], 
  "y": [100.0, 100.1481880505676, 100.39742900097772, 100.48877138247354, 100.48541341599187, 100.02974980932511, 99.92786011894358, 100.02921829096798, 99.71761954668821, 99.79540318079844, 100.01258068506516, 100.25529695903863, 100.25315770804262, 100.14577337707182, 99.53477319874871, 99.48784884751126, 99.58947317699595, 99.9203268221873, 99.95742812869966, 99.91429491467602, 99.984926053033, 99.7033067210668, 99.3058876943849, 98.9721400415886, 98.69764914657208, 98.16985226952127, 97.75241477924392, 97.62045962647625, 97.57825114388876, 98.18204735687908, 98.06936110829928, 98.34425622858207, 98.00858124738714, 98.05389564139631, 98.07234937104592, 98.40790938323339, 98.24483576122446, 98.37765790289077, 98.62843247004017, 98.87638701269555, 98.91051088994786], 
  "xaxis": "x3", 
  "yaxis": "y3", 
  "showlegend": False
}
data = Data([trace1, trace2, trace3, trace4, trace5, trace6, trace7, trace8, trace9, trace10, trace11, trace12, trace13, trace14])
layout = {
  "title": "GBPUSD during UK gen elects by winning party <BR>Source: @thalesians/BBG/Wikipedia", 
  "xaxis1": {
    "ticks": "outside", 
    "title": "Days", 
    "anchor": "y1", 
    "domain": [0.0, 0.2888888888888889], 
    "ticklen": 8, 
    "gridcolor": "#FFFFFF", 
    "tickwidth": 1.5
  }, 
  "xaxis2": {
    "ticks": "outside", 
    "title": "Days", 
    "anchor": "y2", 
    "domain": [0.35555555555555557, 0.6444444444444445], 
    "ticklen": 8, 
    "gridcolor": "#FFFFFF", 
    "tickwidth": 1.5
  }, 
  "xaxis3": {
    "ticks": "outside", 
    "title": "Days", 
    "anchor": "y3", 
    "domain": [0.7111111111111111, 1.0], 
    "ticklen": 8, 
    "gridcolor": "#FFFFFF", 
    "tickwidth": 1.5
  }, 
  "yaxis1": {
    "ticks": "outside", 
    "title": "Index", 
    "anchor": "x1", 
    "domain": [0.0, 1.0], 
    "ticklen": 8, 
    "gridcolor": "#FFFFFF", 
    "tickwidth": 1.5
  }, 
  "yaxis2": {
    "ticks": "outside", 
    "anchor": "x2", 
    "domain": [0.0, 1.0], 
    "ticklen": 8, 
    "gridcolor": "#FFFFFF", 
    "tickwidth": 1.5
  }, 
  "yaxis3": {
    "ticks": "outside", 
    "anchor": "x3", 
    "domain": [0.0, 1.0], 
    "ticklen": 8, 
    "gridcolor": "#FFFFFF", 
    "tickwidth": 1.5
  }, 
  "plot_bgcolor": "#EFECEA"
}
fig = Figure(data=data, layout=layout)
plot_url = py.plot(fig)