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{ | |
"metadata": { | |
"name": "simulating_dti" | |
}, | |
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{ | |
"metadata": { | |
"name": "coherence_filtering" | |
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{ | |
"metadata": { | |
"name": "DWI_RMSE" | |
}, | |
"nbformat": 3, | |
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{ | |
"metadata": { | |
"name": "DWI_RMSE" | |
}, | |
"nbformat": 3, | |
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import numpy as np | |
import matplotlib | |
import matplotlib.pyplot as plt | |
def mosaic(vol, fig=None, title=None, size=[10,10], vmin=None, vmax=None, | |
return_mosaic=False, cbar=True, return_cbar=False, **kwargs): | |
""" | |
Display a 3-d volume of data as a 2-d mosaic | |
Parameters |
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{ | |
"metadata": { | |
"name": "get_the_gaba" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
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""" | |
Series of data are loaded from a .csv file, and their names are | |
displayed in a checkable list view. The user can select the series | |
it wants from the list and plot them on a matplotlib canvas. | |
Use the sample .csv file that comes with the script for an example | |
of data series. | |
Eli Bendersky ([email protected]) | |
License: this code is in the public domain |
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{ | |
"metadata": { | |
"name": "find_corpus_callosum-Copy0" | |
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{ | |
"metadata": { | |
"name": "Figure1" | |
}, | |
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"nbformat_minor": 0, | |
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{ |