ceteri

images = []

for file_name in image_files:
  images.append(imageio.imread(file_name))

gif_path = "movie.gif"
imageio.mimsave(gif_path, images, fps=2)

ceteri

anim_path = pathlib.Path("anim/")
anim_path.mkdir(parents=True, exist_ok=True)

fig = plt.figure()
image_files = []

for date in dates:
  is_earthday = ihme["date"]==date
  cv19 = contiguous_usa.merge(ihme[is_earthday], left_on="state", right_on="location_name")
  

ceteri

date_set = set([])

for d in ihme["date"].tolist():
  if d >= "2020–03–23" and d <= "2020–04–01":
    date_set.add(d)

dates = sorted(list(date_set))

ceteri

def plot_choropleth (anim_path, date, cv19, cities):
  ax = gplt.choropleth(
    cv19,
    hue="deaths_per_mil",
    edgecolor="white",
    linewidth=5,
    cmap="Reds",
    alpha=0.8,
    projection=gcrs.AlbersEqualArea(),
    figsize=(30, 30)

ceteri

ax = gplt.choropleth(
  cv19,
  hue="deaths_per_mil",
  edgecolor="white",
  linewidth=5,
  cmap="Reds",
  alpha=0.8,
  projection=gcrs.AlbersEqualArea(),
  figsize=(30, 30)
)

ceteri

deaths_per_mil = cv19["deaths_mean"] / cv19["population"] * 1000000.0
cv19["deaths_per_mil"] = deaths_per_mil

ceteri

cv19 = contiguous_usa.merge(ihme[is_earthday], left_on="state", right_on="location_name")

ceteri

is_earthday = ihme["date"]=="2020–04–22"

ceteri

ihme = pd.read_csv("data/Hospitalization_all_locs.csv")

ceteri

wget https://ihmecovid19storage.blob.core.windows.net/latest/ihme-covid19.zip
unzip ihme-covid19.zip
mv 2020_*/Hospitalization_all_locs.csv data