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August 14, 2017 08:42
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| from flask import Flask, make_response | |
| app = Flask(__name__) | |
| import matplotlib.pyplot as plt | |
| def draw_picture(): | |
| # 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 labels | |
| 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() | |
| return fig | |
| @app.route("/simple.png") | |
| def simple(): | |
| import StringIO | |
| from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas | |
| canvas=FigureCanvas(draw_picture()) | |
| png_output = StringIO.StringIO() | |
| canvas.print_png(png_output) | |
| response=make_response(png_output.getvalue()) | |
| response.headers['Content-Type'] = 'image/png' | |
| return response | |
| if __name__ == "__main__": | |
| app.run() |
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