from repo2data.repo2data import Repo2Data
import os
import pickle
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
from IPython.display import display, HTML
from plotly import tools
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 / "qmrlab-t1-book" / "t1-book-neurolibre"
filename = DATA_ROOT / "02" / 'figure_6.pkl'
with open(filename, 'rb') as f:
B1Range, mean_T1_noB1Correction, mean_T1_withB1Correction, std_T1_noB1Correction, std_T1_withB1Correction = pickle.load(f)
config={'showLink': False, 'displayModeBar': False}
init_notebook_mode(connected=True)
data1 = dict(
visible = True,
x = B1Range,
y = mean_T1_noB1Correction,
name = 'Nominal flip angles',
text = 'Nominal flip angles',
mode = 'lines+markers',
hoverinfo = 'x+y+text',
line = dict(
color = ('rgb(22, 96, 167)'),
),
error_y=dict(
type='data',
array=std_T1_noB1Correction,
visible=True,
color = ('rgb(142, 192, 240)')
))
data2 = dict(
visible = True,
x = B1Range,
y = mean_T1_withB1Correction,
name = 'B<sub>1</sub>-corrected flip angles',
text = 'B<sub>1</sub>-corrected flip angles',
mode = 'lines+markers',
hoverinfo = 'x+y+text',
line = dict(
color = ('rgb(205, 12, 24)'),
),
error_y=dict(
type='data',
array=std_T1_withB1Correction,
visible=True,
color = ('rgb(248, 135, 142)')
))
data = [data1, data2]
layout = go.Layout(
width=580,
height=450,
margin=go.layout.Margin(
l=80,
r=80,
b=60,
t=60,
),
annotations=[
dict(
x=0.5004254919715793,
y=-0.14,
showarrow=False,
text='B<sub>1</sub> (n.u.)',
font=dict(
family='Times New Roman',
size=22
),
xref='paper',
yref='paper'
),
dict(
x=-0.17,
y=0.5,
showarrow=False,
text='T<sub>1</sub> (s)',
font=dict(
family='Times New Roman',
size=22
),
textangle=-90,
xref='paper',
yref='paper'
),
],
xaxis=dict(
autorange=False,
range=[B1Range[0], B1Range[-1]],
showgrid=False,
linecolor='black',
linewidth=2
),
yaxis=dict(
autorange=False,
range=[0, max(mean_T1_noB1Correction)],
showgrid=False,
linecolor='black',
linewidth=2
),
legend=dict(
x=0.32,
y=0.98,
traceorder='normal',
font=dict(
family='Times New Roman',
size=12,
color='#000'
),
bordercolor='#000000',
borderwidth=2
),
plot_bgcolor='white'
)
fig = dict(data=data, layout=layout)
iplot(fig, filename = 'vfa_fig_6.html', config = config)
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