def test_multiple_axes():
return pbp.Plot([
pbp.Plot(a),
pbp.Plot(b, pbp.YAxis(pbp.Title(text="B Axis"), opposite=True)),
pbp.Plot(c,
pbp.YAxis(pbp.Title(text="C Axis"), opposite=True, offset=40))
])
def test_separate_subplots():
return pbp.Plot([
pbp.Plot(a, pbp.Line(), pbp.YAxis(pbp.Title(text="a only"),
height=200)),
pbp.Plot(
b, pbp.Column(),
pbp.YAxis(pbp.Title(text="b only"), top=250, height=100, offset=0))
],
pbp.Tooltip(value_decimals=2),
height="400px")
def _create_dynamic_content():
d = pd.date_range("2012-01-01", periods=10)
s = pd.Series(range(len(d)), d)
return pbp.Plot(s, width="100%", height="100%")
def test_cumulative_difference():
return pbp.Plot(df_cr,
pbp.PlotOptions(pbp.Series(compare="percent")),
pbp.TooltipPct(),
pbp.YAxisPct())
def test_bar_chart_composite():
return pbp.Plot([pbp.Plot(a, pbp.Column(bar_grouping)),
pbp.Plot(b, pbp.Column(bar_grouping))])
def test_bar_chart_stacked():
return pbp.Plot(df, pbp.Column(bar_grouping, stacking="normal"))
def test_bar_chart():
return pbp.Plot(df, pbp.Column(bar_grouping))
def test_scatter_plot():
return pbp.Plot(df.values[:, :2], pbp.Scatter(pbp.Marker(enabled=True)), pbp.Chart(zoom_type="xy"))
def test_dataframe():
return pbp.Plot(df)
def test_series():
return pbp.Plot(a)
def test_widepanel_plot():
return pbp.Plot(wp, pbp.Areasplinerange)
