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June 5, 2020 19:49
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Gist for the delay plot
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# df_delay = Pandas dataframe with data | |
ax = df_delay.plot.scatter( | |
title='Symptom Onset vs Confirmation - COVID19 / Rio Grande do Sul / Brazil', | |
x='DATA_CONFIRMACAO', | |
y='DATA_SINTOMAS', | |
alpha=.4, | |
lw=0, | |
s=8, | |
c="Delay (days)", | |
colormap="Reds_r", | |
figsize=(7, 5), sharex=False) | |
for axis in [ax.xaxis, ax.yaxis]: | |
formatter = mdates.DateFormatter('%d/%m') | |
locator = mdates.WeekdayLocator(interval=1) | |
axis.set_major_formatter(formatter) | |
axis.set_major_locator(locator) | |
for label in ax.get_xticklabels(): | |
label.set_ha("right") | |
label.set_rotation(45) | |
plt.grid(alpha=0.4, zorder=-1000, linestyle=":") | |
plt.ylabel("Symptom Onset Date") | |
plt.xlabel("Confirmation Date") | |
plt.tight_layout() | |
plt.show() |
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