Last active
June 29, 2017 11:38
-
-
Save saliksyed/41aed75a420ab12cd4e42c8da0015f7a to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import numpy as np | |
import matplotlib.mlab as mlab | |
import matplotlib.pyplot as plt | |
# Open the file with all the airports and read every line | |
data = open("airports.dat", "r").readlines() | |
# make an array to store the final data | |
final_data = [] | |
# go through each row and extract the airport altitude | |
for row in data: | |
row_items = row.split(",") # split by the comma | |
final_data.append(float(row_items[8])) | |
num_bins = 50 | |
fig, ax = plt.subplots() | |
# the histogram of the data | |
n, bins, patches = ax.hist(final_data, num_bins, normed=0) | |
# add a 'best fit' lin | |
ax.set_xlabel('Altitude') | |
ax.set_ylabel('Number of Airports') | |
ax.set_title(r'Histogram of Elevations of Airports') | |
# Tweak spacing to prevent clipping of ylabel | |
fig.tight_layout() | |
plt.show() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment