def test_plot_fit(): # second fig2, ax2 = pyplot.subplots() norm_dist = dist.normal(μ=5.4, σ=2.5) data = activity.random('normal', μ=5.4, σ=2.5, shape=37) ax2 = activity.plot(norm_dist, ax=ax2, line_opts=dict(label='Theoretical PDF')) ax2 = activity.plot('normal', data=data, ax=ax2, line_opts=dict(label='Fit PDF')) ax2.legend()
def test_plot_pdf_fit(): # second fig2, ax2 = pyplot.subplots() norm_dist = dist.normal(μ=5.4, σ=2.5) data = activity.random('normal', μ=5.4, σ=2.5, shape=37) ax2 = activity.plot(norm_dist, ax=ax2, line_opts=dict(label='Theoretical PDF')) ax2 = activity.plot('normal', data=data, ax=ax2, line_opts=dict(label='Fit PDF')) ax2.legend() return fig2
def test_plot_sf_basic(): # first fig, ax1 = pyplot.subplots() norm_dist = dist.normal(μ=5.4, σ=2.5) ax1 = activity.plot(norm_dist, ax=ax1, which='sf') return fig
def test_plot_basic(): # first fig, ax1 = pyplot.subplots() norm_dist = dist.normal(μ=5.4, σ=2.5) ax1 = activity.plot(norm_dist, ax=ax1)