# Prepare Python environment

import scipy.io as sio
import numpy as np
from pathlib import Path

data_dir = Path("../../../data/06-MT-02-MTR")
data_file = "fig7.mat"

#Load either archived or generated plot variables
mat_contents = sio.loadmat(data_dir / data_file)

MTRs = mat_contents["MTRs"]
TR = mat_contents["TR_range"][0]
B1 = mat_contents["B1_range"][0]

# Plot Figure 1

# Module imports

import matplotlib.pyplot as plt
import plotly as py
import plotly.graph_objs as go
import numpy as np
from plotly import __version__
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
config={'showLink': False, 'displayModeBar': False}

init_notebook_mode(connected=True)

# PYTHON CODE

init_notebook_mode(connected=True)
# The polling here is to ensure that plotly.js has already been loaded before
# setting display alignment in order to avoid a race condition.


data = [
    go.Contour(
        z=MTRs,
        x = B1,
        y = TR,
        contours = dict(
            coloring ='heatmap',
            showlabels = True, # show labels on contours
            labelfont = dict( # label font properties
                size = 12,
                color = 'white',
            )
        ),
    )      
]


layout = go.Layout(
    width=600,
    height=600,
    margin=go.layout.Margin(
        l=100,
        r=80,
        b=100,
        t=130,
    ),
    legend=dict(
        x=0.25,
        y=1.2,
        traceorder='normal',
        font=dict(
            family='Times New Roman',
            size=12,
            color='#000'
        ),
        bordercolor='#000000',
        borderwidth=2
    )
)

fig = dict(data=data, layout=layout)


iplot(fig, filename = 'fig8.html', config = config)