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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, | |
ylim=(1, None), | |
xlim=(1, None), | |
label=country, | |
) | |
) | |
def plot_loglog_countries(self, countries): | |
if len(countries) == 1: | |
return self.plot_loglog(countries[0]) | |
else: | |
return self.plot_loglog(countries[0]) * self.plot_loglog_countries( | |
countries[1:] | |
) | |
def plot_loglog_countries_listcmp(self, countries): | |
return holoviews.Overlay([ | |
plot_loglog(country) for country in countries | |
]) | |
def plot_loglog_countries_inc(self, countries): | |
plot = plot_loglog(countries[0]) | |
for country in countries[1:]: | |
plot *= plot_loglog(country) | |
return plot | |
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