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def task_data(): | |
"download the sample data" | |
return dict(actions=["wget https://docs.google.com/uc?id=1rkoE_xoUN7YMefnUcJ-LXAlI5gU8qYLv&export=download -O test_FA.nii.gz".split()], targets=["test_FA.nii.gz"]) |
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Copyright 2019 dead pixels collective | |
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: | |
1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. | |
2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. | |
3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. |
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def plot_loglog(self, country, freq="2d"): | |
newdf = self.get_country(country) | |
return ( | |
newdf.resample(freq) | |
.mean() | |
.hvplot.scatter( | |
x="Infections", | |
y="Rate", | |
logy=True, | |
logx=True, |
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def plot_loglog(self, country, freq="2d"): | |
newdf = self.get_country(country) | |
return ( | |
newdf.resample(freq) | |
.mean() | |
.hvplot.scatter( | |
x="Infections", | |
y="Rate", | |
logy=True, | |
logx=True, |
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pydantic | |
rdflib | |
pandas | |
matplotlib | |
schemaorg |
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ipywidgets |
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