Update AnalyzeCSV.py

Author: Janderion47

Project/AnalyzeCSV.py

@@ -2,11 +2,12 @@
 #from uncertainties import ufloat
 import numpy as np
 import matplotlib.pyplot as plt
+from math import ceil
 
 
 # Parameters
 TheCsvInQuestion = "HillsboroughCoFL_DistToHurricaneShelters_x120_a250000m2_1764089128.077461.csv"
-percentile_specificity = 100
+percentile_spec = 100
 plt.figure(figsize=(15,10))
 
 
@@ -18,11 +19,20 @@
     #line_distance = ufloat(row["Distance"],row["uDist"])
     #print(line_distance)
 
-percentiles_to_calc = np.linspace(0, 100, percentile_specificity+1)
-dist_percentiles = np.percentile(distances,percentiles_to_calc)
-plt.plot(np.array(percentiles_to_calc),np.array(dist_percentiles),label=TheCsvInQuestion)
+thepercentiles = np.linspace(0, 100, percentile_spec+1)
+thepercentiles_major = np.linspace(0, 100, 4+1)
+percent_data = np.percentile(distances,thepercentiles)
+percent_major_data = np.percentile(distances,thepercentiles_major)
+plt.plot(np.array(thepercentiles),np.array(percent_data),label=TheCsvInQuestion)
+plt.scatter(np.array(thepercentiles_major),np.array(percent_major_data),label="0th, 25th, 50th, 75th, and 100th percentiles")
 plt.title("Percentiles of the Distances from land locations throughout Hillsborough County, FL.")
 plt.xlabel("Percentile")
 plt.ylabel("Distance (miles)")
 plt.legend()
-plt.show()
+plt.show()
+
+print("0th percentile:",percent_data[0])
+print("25th percentile:", percent_data[ceil(percentile_spec*0.25)])
+print("50th percentile:", percent_data[ceil(percentile_spec*0.50)])
+print("75th percentile:", percent_data[ceil(percentile_spec*0.75)])
+print("100th percentile:", percent_data[ceil(percentile_spec)])