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_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)
