was the data point in the bottom 23% of the dataset? #127

quartiles/script.py

@@ -1,38 +1,12 @@
-import codecademylib3_seaborn
 from song_data import songs
-import matplotlib.pyplot as plt
 import numpy as np
 
-q1 = np.quantile(songs, 0.25)
-q2 = np.quantile(songs, 0.5)
-q3 = np.quantile(songs, 0.75)
+# Define twenty_third_percentile here:
+twenty_third_percentile = np.quantile(songs, 0.23)
 
-plt.subplot(3,1,1)
-plt.hist(songs, bins = 200)
-plt.axvline(x=q1, c = 'r')
-plt.axvline(x=q2, c = 'r')
-plt.axvline(x=q3, c = 'r')
-plt.xlabel("Song Length (Seconds)")
-plt.ylabel("Count")
-plt.title("4-Quantiles")
+#Ignore the code below here:
+try:
+  print("The value that splits 23% of the data is " + str(twenty_third_percentile) + "\n")
+except NameError:
+  print("You haven't defined twenty_third_percentile.")
 
-plt.subplot(3,1,2)
-plt.hist(songs, bins = 200)
-plt.axvline(x=np.quantile(songs, 0.2), c = 'r')
-plt.axvline(x=np.quantile(songs, 0.4), c = 'r')
-plt.axvline(x=np.quantile(songs, 0.6), c = 'r')
-plt.axvline(x=np.quantile(songs, 0.8), c = 'r')
-plt.xlabel("Song Length (Seconds)")
-plt.ylabel("Count")
-plt.title("5-Quantiles")
-
-plt.subplot(3,1,3)
-plt.hist(songs, bins = 200)
-for i in range(1, 10):
-  plt.axvline(x=np.quantile(songs, i/10), c = 'r')
-plt.xlabel("Song Length (Seconds)")
-plt.ylabel("Count")
-plt.title("10-Quantiles")
-
-plt.tight_layout()
-plt.show()