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_xlog():
# first
fig, ax1 = pyplot.subplots()
loc_dist = dist.lognormal(μ=1.25, σ=0.75)
ax1 = activity.plot(loc_dist, ax=ax1, xscale='log', which='sf')
ax1.legend()
return fig
def test_plot_sf_xlog():
# first
fig, ax1 = pyplot.subplots()
loc_dist = dist.lognormal(μ=1.25, σ=0.75)
ax1 = activity.plot(loc_dist, ax=ax1, xscale='log', which='sf')
ax1.legend()
return fig
def test_distplot_lognormal():
# fourth
fig4, ax4 = pyplot.subplots()
data = activity.random('lognormal', μ=0.75, σ=1.2, shape=125)
logdata = numpy.log10(data)
bins = numpy.logspace(logdata.min(), logdata.max(), num=30)
distplot_opts = dict(rug=True, kde=False, norm_hist=True, bins=bins)
line_opts = dict(color='firebrick', lw=3.5, label='Fit PDF')
ax4 = activity.plot('lognormal', data=data, distplot=True,
xscale='log', pad=0.01, ax=ax4,
line_opts=line_opts,
distplot_opts=distplot_opts)
def test_plot_bad_attribute():
with pytest.raises(AttributeError):
loc_dist = dist.lognormal(μ=1.25, σ=0.75)
activity.plot(loc_dist, xscale='log', which='JUNK')
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_pdf_xlog():
# first
fig, ax1 = pyplot.subplots()
loc_dist = dist.lognormal(μ=1.25, σ=0.75)
ax1 = activity.plot(loc_dist, ax=ax1, xscale='log')
return fig
def test_plot_bad_attribute():
with pytest.raises(AttributeError):
loc_dist = dist.lognormal(μ=1.25, σ=0.75)
activity.plot(loc_dist, xscale='log', which='JUNK')
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_pdf_xlog():
# first
fig, ax1 = pyplot.subplots()
loc_dist = dist.lognormal(μ=1.25, σ=0.75)
ax1 = activity.plot(loc_dist, ax=ax1, xscale='log')
return fig
def test_plot_distplot():
# third
fig3, ax3 = pyplot.subplots()
data = activity.random('normal', μ=5.4, σ=2.5, shape=37)
ax3 = activity.plot('normal', data=data, distplot=True, ax=ax3)
ax3.legend(loc='upper left')
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)