# Prepare Python environment
import scipy.io as sio
from pathlib import Path
from contextlib import contextmanager
import sys, os
from pathlib import Path
@contextmanager
def suppress_stdout():
with open(os.devnull, "w") as devnull:
old_stdout = sys.stdout
sys.stdout = devnull
try:
yield
finally:
sys.stdout = old_stdout
import os
from pathlib import Path
def find_myst_yml_directories(start_dir=None):
"""
Recursively search for directories containing myst.yml file.
Args:
start_dir (str or Path): Starting directory (defaults to current directory)
Returns:
list: List of full paths to directories containing myst.yml
"""
if start_dir is None:
start_dir = Path.cwd()
else:
start_dir = Path(start_dir)
myst_dirs = []
def _search_directory(current_dir):
# Check if myst.yml exists in current directory
myst_file = current_dir / "myst.yml"
if myst_file.exists():
myst_dirs.append(str(current_dir.resolve()))
# Don't search subdirectories if we found myst.yml here
return
# Recursively search all subdirectories
for item in current_dir.iterdir():
if item.is_dir():
try:
_search_directory(item)
except (PermissionError, OSError):
# Skip directories we can't access
continue
_search_directory(start_dir)
return myst_dirs
def find_myst_yml_directories_upwards(start_dir=None):
"""
Search for myst.yml in current directory, if not found go to parent and repeat.
Args:
start_dir (str or Path): Starting directory (defaults to current directory)
Returns:
str or None: Full path of directory containing myst.yml, or None if not found
"""
if start_dir is None:
current_dir = Path.cwd()
else:
current_dir = Path(start_dir)
# Keep going up until we reach the filesystem root
while current_dir != current_dir.parent: # Stop at root
myst_file = current_dir / "myst.yml"
if myst_file.exists():
return str(current_dir.resolve())
# Move to parent directory
current_dir = current_dir.parent
return None
with suppress_stdout():
repo_path = Path(find_myst_yml_directories_upwards())
print(repo_path)
data_req_path = repo_path / "binder" / "data_requirement.json"
data_path = repo_path / "data"
dataset_path = data_path / "qmrlab-mooc"
DATA_ROOT = dataset_path / "02-T1-03-MP2RAGE" / "02-T1-03-MP2RAGE"
data_file = "fig1.mat"
#Load either archived or generated plot variables
mat_contents = sio.loadmat(str(DATA_ROOT / str(data_file)))
T1matrix = mat_contents["T1matrix"]
B1_vector = mat_contents["B1_vector"][0]
MP2RAGE_vector = mat_contents["MP2RAGE_vector"][0]
## Plot
# PYTHON CODE
# Module imports
import matplotlib.pyplot as plt
import chart_studio.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.
trace5 = go.Heatmap(x = MP2RAGE_vector,
y = B1_vector,
z=T1matrix,
zmin=0,
zmax=5,
colorscale='Portland',
xaxis='x2',
yaxis='y2',
visible=True,
name = 'T1 values (ms)')
data=[trace5]
layout = dict(
width=560,
height=345,
margin = dict(
t=40,
r=50,
b=50,
l=80),
annotations=[
dict(
x=-0.14,
y=0.5,
showarrow=False,
text='B<sub>1</sub> values',
font=dict(
family='Times New Roman',
size=22
),
textangle=-90,
xref='paper',
yref='paper'
),
dict(
x=0.5,
y=-0.2,
showarrow=False,
text='S<sub>MP2RAGE</sub> values',
font=dict(
family='Times New Roman',
size=22
),
xref='paper',
yref='paper'
),
dict(
x=0.5,
y=1.15,
showarrow=False,
text='Lookup Table',
font=dict(
family='Times New Roman',
size=26
),
xref='paper',
yref='paper'
),
dict(
x=1.17,
y=1.15,
showarrow=False,
text='T<sub>1</sub> (ms)',
font=dict(
family='Times New Roman',
size=20
),
xref='paper',
yref='paper'
),
],
xaxis = dict(range = [0,1], autorange = False,
showgrid = False, zeroline = False, showticklabels = False,
ticks = '', domain=[0, 0.5]),
yaxis = dict(range = [0,1], autorange = False,
showgrid = False, zeroline = False, showticklabels = False,
ticks = '', domain=[0, 1]),
showlegend = False,
autosize = False,
)
fig = dict(data=data, layout=layout)
iplot(fig, filename = 'basic-heatmap', config = config)Loading...