daviddoji/Kalman-and-Bayesian-Filters-in-Python
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Removed testing code.

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This commit is contained in:
Roger Labbe 2015-06-17 08:04:06 -07:00
parent adba3e5915
commit 87e6f5c6e7
1 changed files with 3 additions and 7 deletions
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code/nonlinear_plots.py
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@ -35,7 +35,6 @@ def plot_nonlinear_func(data, f, gaussian, num_bins=300):
out_lims = [y-std*3, y+std*3]
#plot output
h = np.histogram(ys, num_bins, density=False)
plt.subplot(2,2,4)
@ -51,13 +50,13 @@ def plot_nonlinear_func(data, f, gaussian, num_bins=300):
norm = scipy.stats.norm(y, in_std)
min_x = norm.ppf(0.001)
'''min_x = norm.ppf(0.001)
max_x = norm.ppf(0.999)
xs = np.arange(min_x, max_x, (max_x - min_x) / 1000)
pdf = norm.pdf(xs)
plt.plot(pdf * max(h[0])/max(pdf), xs, lw=1, color='k')
print(max(norm.pdf(xs)))
return
print(max(norm.pdf(xs)))'''
# plot transfer function
@ -85,7 +84,6 @@ def plot_nonlinear_func(data, f, gaussian, num_bins=300):
print("fuck")
def test_plot():
import math
from numpy.random import normal
@ -121,8 +119,6 @@ def test_plot():
plt.plot(h[1][1:], h[0], lw=4)
test_plot()
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if __name__ == "__main__":
from numpy.random import normal