STATISTICS WITH PYTHON & HISTOGRAM

#We will create wo histograms, each displaying the frequency of an occurrence each day of the year 
#(either flights or flower blooms).
#You will use the in_bloom variable to find a count of the number of flowers that start blooming each day of the year.
#You will use the flights variable to find a count of the number of flights that occur each day of the year.

# import codecademylib3
import codecademylib3
import numpy as np
from matplotlib import pyplot as plt

# load in data
in_bloom = np.loadtxt(open("in-bloom.csv"), delimiter=",")
flights = np.loadtxt(open("flights.csv"), delimiter=",")

# Plot the histograms
plt.figure(1)

plt.subplot(211)
plt.hist(flights, range=(0,365), bins=365)
plt.xlabel('Days of the year')
plt.ylabel('Number of flights')
plt.title('Frequency of flights')

plt.subplot(212)
plt.hist(in_bloom, range=(0,365), bins=365)
plt.title("Flower Blooms and Flights by Day")
plt.ylabel("Bloom Count")
plt.xlabel("Day of the Year")



plt.show()

if someone said they wanted to visit Acadia while there weren’t many people there, but while flowers were blooming, when would you recommend? Based on these histograms, I would propose they go between days 250 and 300, which is the Fall. The flight’s histogram shows fewer flights between these days, while the flowers histogram indicates there should be a number of flowers in bloom during this time.