Mbdev

README.md

@@ -1,6 +1,8 @@
 # Exploring COVID-19 Vaccine Effectiveness
 ## National View
 ![](img/animation.gif)
+
+adding some tex - MB
 
 ## County View
 ![](img/comparison.png)

src/animation.py

@@ -6,7 +6,7 @@
 
 import imageio as iio
 import os
-
+import time # added by Max Burtis for hw02 
 def create_gif(filename_save):
     """This function creates a gif animation from a folder of png images
     Parameters:
@@ -15,8 +15,11 @@ def create_gif(filename_save):
     #makes a list of im NumPy arrays based on a list of .png images (read from folder)
     images = list()
 
+    timestamps=[image for image in os.listdir('img') if image.endswith('png')] #added by Max Burtis for hw02
+    timestamps.sort(key=lambda x: time.mktime(time.strptime(x[:-4],"%m-%d-%Y")))  #added by Max Burtis for hw02
+
     #this part looks at the img directory and reads in all the files that end with .png (only going to bring in those)
-    for filename in sorted(os.listdir('img')):
+    for filename in timestamps: #added by Max Burtis for hw02
         if filename[-4:] == '.png' and not filename == 'comparison.png':
             f = os.path.join('img',filename)
             im = iio.imread(f)

src/scatters.py

@@ -17,6 +17,8 @@ def scatter(month):
     y = df[ylabel]
     area = df['Census2019_18PlusPop'] / 1e6     #population in millions
 
+
+
     fig, ax = plt.subplots()
     ax.set_xlabel("Percent of Population (+18) Considered Fully Vaccinated")
     ax.set_ylabel("Deaths per 100K")
@@ -53,7 +55,7 @@ def scatter(month):
     for area_scl in [0.5, 2, 4]:
         ax.scatter([], [], s = plot_scl*area_scl, c = "gray", alpha = 0.5, label = str(area_scl) + 'M')
     ax.legend(loc = (1.05, 0.3), title="Population (Millions)", labelspacing = 1.5, borderpad = 1)
-
+    plt.text(30, 200, month, fontsize = 30).set_alpha(.4)
     plt.tight_layout()    
     plt.savefig('img/'+month+'.png')