Joshua Banks Mailman jmailman
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| custom_title = title + ' – sparse data' | |
| plt.figure(figsize=figure_proportions) | |
| plt.scatter(sparse_input, sparse_data, color = 'green', marker = "o", s=100) | |
| plt.title(custom_title) | |
| plt.xlabel(x_axis_label) | |
| plt.ylabel(y_axis_label) | |
| plt.xlim(x_min, x_max ) | |
| plt.ylim(0, y_max ) |
jmailman
/ 7_sparse_data_with_sampling_increment.py
Created
April 2, 2021 15:24
7_sparse_data_with_sampling_increment.py
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| sampling_increment = 15 | |
| sparse_input = in_array[::sampling_increment] | |
| sparse_data = curve[::sampling_increment] |
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| y_axis_label = 'altitude (feet)' | |
| x_axis_label = 'time (seconds from arrival at target)' | |
| title = 'Trajectory of flight' | |
| custom_title = title + ' – noisy data' | |
| figure_proportions = (10, 5) | |
| y_max = 100 | |
| x_min, x_max = -3.3, 4.3 | |
| plt.figure(figsize=figure_proportions) |
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| flux_range = 35 | |
| random_flux = np.random.rand(len(curve))*flux_range - flux_range/2 | |
| noisy_data = curve + random_flux |
jmailman
/ 4_two_curve_functions_and_resulting_curve.py
Last active
April 2, 2021 14:58
4_two_curves_functions_and_resulting_curve.py
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| in_array = np.linspace(-3, 4, 100) | |
| def curve1(in_array_ ): | |
| return (in_array_**3) + ((in_array_*.9-4)**2) | |
| def curve2(in_array_ ): | |
| return (20*np.sin((in_array_)*3+4)+20) + curve1(in_array_ ) | |
| x = in_array |
jmailman
/ 3_plot_linear_interpolation_only_of_ground_truth.py
Created
April 2, 2021 03:34
3_plot_linear_interpolation_only_of_ground_truth.py
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| custom_title = title + ' - smooth data' + ' - linear interpolation only' | |
| plt.figure(figsize=figure_proportions ) | |
| plt.plot(in_array, curve, color = 'green') | |
| plt.title(custom_title) | |
| plt.xlabel(x_axis_label) | |
| plt.ylabel(y_axis_label) | |
| plt.xlim(x_min, x_max ) | |
| plt.ylim(0, y_max ) | |
| plt.savefig('viz/'+custom_title+'.svg') | |
| plt.show() |
jmailman
/ 2_plot_linear_interpolation_of_ground_truth.py
Created
April 2, 2021 03:30
2_plot_linear_interpolation_of_ground_truth.py
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| custom_title = title + ' - smooth data' + ' - with linear interpolation' | |
| plt.figure(figsize=figure_proportions ) | |
| plt.plot(in_array, curve, color = 'green', marker = "o") | |
| plt.title(custom_title) | |
| plt.xlabel(x_axis_label) | |
| plt.ylabel(y_axis_label) | |
| plt.xlim(x_min, x_max ) | |
| plt.ylim(0, y_max ) | |
| plt.savefig('viz/'+custom_title+'.svg') | |
| plt.show() |
jmailman
/ 1_plot_piecewise_function_curve.py
Last active
April 2, 2021 03:27
1_plot_piecewise_function_curve.py
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| import matplotlib.pyplot as plt | |
| in_array = np.linspace(-3, 4, 100) | |
| x = in_array | |
| curve = np.piecewise(x, [x<.2, x >=.2], [lambda x: curve1(x), lambda x: curve2(x)]) | |
| y_axis_label = 'altitude (feet)' | |
| x_axis_label = 'time (seconds from arrival at target)' | |
| title = 'Trajectory of flight' | |
| figure_proportions = (10, 5) |
jmailman
/ 0_curve_functions.py
Last active
April 2, 2021 03:24
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| import numpy as np | |
| def curve1(in_array_ ): | |
| return (in_array_**3) + ((in_array_*.9-4)**2) | |
| def curve2(in_array_ ): | |
| return (20*np.sin((in_array_)*3+4)+20) + curve1(in_array_ ) |
jmailman
/ gist:434c2e35a254f65acd72b786295194a5
Created
April 2, 2021 00:45
data smoothing code snippet 1
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| import numpy as np | |
| def curve1(in_array_ ): | |
| return (in_array_**3) + ((in_array_*.9-4)**2) | |
| def curve2(in_array_ ): | |
| return (20*np.sin((in_array_)*3+4)+20) + curve1(in_array_ ) |