def test_line_filter_title(plot_df):
fig, ax = plt.subplots(figsize=(8, 8))
plot_df.filter(variable='Primary Energy|Coal').line_plot(ax=ax,
color='model',
marker='scenario',
legend=True)
return fig
def test_bar_plot_title(plot_df):
fig, ax = plt.subplots(figsize=(8, 8))
(plot_df.filter(variable='Primary Energy',
model='test_model').bar_plot(ax=ax,
bars='scenario',
title='foo'))
return fig
def test_bar_plot_stacked(plot_df):
fig, ax = plt.subplots(figsize=(8, 8))
(plot_df.filter(variable='Primary Energy',
model='test_model').bar_plot(ax=ax,
bars='scenario',
stacked=True))
return fig
def test_line_plot_1_var(plot_df):
fig, ax = plt.subplots(figsize=(8, 8))
(plot_df.filter(model='test_model',
scenario='test_scenario').line_plot(x='Primary Energy',
y='year',
ax=ax,
legend=False))
return fig
def test_pie_plot_legend(plot_df):
fig, ax = plt.subplots(figsize=(8, 8))
(plot_df.filter(variable='Primary Energy', model='test_model',
year=2010).pie_plot(ax=ax,
category='scenario',
labels=None,
legend=True))
return fig
def test_bar_plot_rc(plot_df):
with update_run_control(
{'color': {
'scenario': {
'test_scenario': 'black'
}
}}):
fig, ax = plt.subplots(figsize=(8, 8))
(plot_df.filter(variable='Primary Energy',
model='test_model').bar_plot(ax=ax, bars='scenario'))
return fig
def test_stack_plot_other(plot_df):
fig, ax = plt.subplots(figsize=(8, 8))
with update_run_control(
{'color': {
'scenario': {
'test_scenario': 'black'
}
}}):
(plot_df.filter(variable='Primary Energy',
model='test_model').stack_plot(ax=ax,
stack='scenario',
cmap='viridis',
title='foo'))
return fig
def test_stack_plot(plot_df):
fig, ax = plt.subplots(figsize=(8, 8))
(plot_df.filter(variable='Primary Energy',
model='test_model').stack_plot(ax=ax, stack='scenario'))
return fig
