add prototype of graph to maxmin route and html
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app.py
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app.py
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@ -2,6 +2,7 @@ from flask import Flask, render_template, request, redirect, Response
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from sympy import *
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from sympy import *
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from helpers import apology
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from helpers import apology
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import numpy as np
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import numpy as np
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from matplotlib import pyplot as plt
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app = Flask(__name__)
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app = Flask(__name__)
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@ -144,13 +145,29 @@ def maxmin():
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maximum = max(values)
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maximum = max(values)
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newvar = min(values)
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newvar = min(values)
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# Create Graph
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lam_f = lambdify(x, f, 'numpy')
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X = np.linspace(lb-100, ub+100, (ub-lb)*10)
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y = lam_f(X)
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# plt.figure(figsize=(3,4))
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plt.scatter(X, y, c='g', marker='.', )
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max_idx = np.argmax(values)
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min_idx = np.argmin(values)
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plt.plot(candidates[max_idx], values[max_idx], c='r', marker='o', ms=10, label='max')
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plt.plot(candidates[min_idx], values[min_idx], c='b', marker='o', ms=10, label='min')
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plt.legend()
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plt.savefig('static/img/new_plot.png')
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plt.close()
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# Turn all into latex
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# Turn all into latex
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value = latex(f)
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value = latex(f)
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fprime = latex(fprime)
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fprime = latex(fprime)
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for i, solution in enumerate(solutions):
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for i, solution in enumerate(solutions):
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solutions[i] = latex(solution)
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solutions[i] = latex(solution)
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return render_template("optimized.html", value=value, fprime=fprime, solutions=solutions, lb=lb, ub=ub,
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return render_template("optimized.html", value=value, fprime=fprime, solutions=solutions, lb=lb, ub=ub,
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candidates=candidates, newvar=newvar, values=values, maximum=maximum)
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candidates=candidates, newvar=newvar, values=values, maximum=maximum,
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url='static/img/new_plot.png')
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else:
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else:
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return render_template("maxmin.html")
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return render_template("maxmin.html")
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After Width: | Height: | Size: 21 KiB |
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@ -68,7 +68,7 @@
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</table>
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</table>
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</font>
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</font>
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<canvas id='myChart' width='400', height='400'></canvas>
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<img src={{url}} alt='Chart' height='500' width='500'>
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