4f1e7f2f936bf5f3e6d1da8d8be843dc3273fe67,examples/1d/plot_filters.py,,,#,17
Before Change
// lowpass filters
// ---------------------------------------------------------------------------
fig, axs = plt.subplots(2, 1)
psis_f = (psi1_f, psi2_f)
Qs = (Q, 1)
After Change
plt.figure()
plt.plot(np.arange(T)/T, phi_f[0], "r")
for psi_f in psi2_f:
plt.plot(np.arange(T)/T, psi_f[0], "b")
plt.xlim(0, 0.5)
plt.ylim(0, 1.2)
plt.xlabel(r"$\omega$", fontsize=18)
plt.ylabel(r"$\hat\psi_j(\omega)$", fontsize=18)
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: kymatio/kymatio
Commit Name: 4f1e7f2f936bf5f3e6d1da8d8be843dc3273fe67
Time: 2018-11-21
Author: janden@flatironinstitute.org
File Name: examples/1d/plot_filters.py
Class Name:
Method Name:
Project Name: freelunchtheorem/Conditional_Density_Estimation
Commit Name: 7b833ffc3da26d5d76d18c8ccd466b35419a7d6d
Time: 2018-01-05
Author: jonas.rothfuss@gmx.de
File Name: evaluation/sim_eval.py
Class Name:
Method Name: plot_fitted_distribution
Project Name: matplotlib/matplotlib
Commit Name: 8ee355c59d871c68f0b47edc90551d76fc465ea5
Time: 2019-06-13
Author: 2836374+timhoffm@users.noreply.github.com
File Name: examples/subplots_axes_and_figures/custom_figure_class.py
Class Name:
Method Name: