Python altair.condition() Examples
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code examples of altair.condition().
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Example #1
Source File: plot.py From retentioneering-tools with Mozilla Public License 2.0 | 6 votes |
def altair_step_matrix(diff, plot_name=None, title='', vmin=None, vmax=None, font_size=12, **kwargs): heatmap_data = diff.reset_index().melt('index') heatmap_data.columns = ['y', 'x', 'z'] table = alt.Chart(heatmap_data).encode( x=alt.X('x:O', sort=None), y=alt.Y('y:O', sort=None) ) heatmap = table.mark_rect().encode( color=alt.Color( 'z:Q', scale=alt.Scale(scheme='blues'), ) ) text = table.mark_text( align='center', fontSize=font_size ).encode( text='z', color=alt.condition( abs(alt.datum.z) < 0.8, alt.value('black'), alt.value('white')) ) heatmap_object = (heatmap + text).properties( width=3 * font_size * len(diff.columns), height=2 * font_size * diff.shape[0] ) return heatmap_object, plot_name, None, diff.retention.retention_config
Example #2
Source File: test_core.py From altair with BSD 3-Clause "New" or "Revised" License | 5 votes |
def test_infer_encoding_types_with_condition(channels): args, kwds = _getargs( x=alt.condition("pred1", alt.value(1), alt.value(2)), y=alt.condition("pred2", alt.value(1), "yval"), strokeWidth=alt.condition("pred3", "sval", alt.value(2)), ) expected = dict( x=channels.XValue(2, condition=channels.XValue(1, test="pred1")), y=channels.Y("yval", condition=channels.YValue(1, test="pred2")), strokeWidth=channels.StrokeWidthValue( 2, condition=channels.StrokeWidth("sval", test="pred3") ), ) assert infer_encoding_types(args, kwds, channels) == expected
Example #3
Source File: covid19_dataviz.py From traffic with MIT License | 5 votes |
def airline_chart( source: alt.Chart, subset: List[str], name: str, loess=True ) -> alt.Chart: chart = source.transform_filter( alt.FieldOneOfPredicate(field="airline", oneOf=subset) ) highlight = alt.selection( type="single", nearest=True, on="mouseover", fields=["airline"] ) points = ( chart.mark_point() .encode( x="day", y=alt.Y("rate", title="# of flights (normalized)"), color=alt.Color("airline", legend=alt.Legend(title=name)), tooltip=["day", "airline", "count"], opacity=alt.value(0.3), ) .add_selection(highlight) ) lines = chart.mark_line().encode( x="day", y="rate", color="airline", size=alt.condition(~highlight, alt.value(1), alt.value(3)), ) if loess: lines = lines.transform_loess( "day", "rate", groupby=["airline"], bandwidth=0.2 ) return lines + points
Example #4
Source File: covid19_dataviz.py From traffic with MIT License | 5 votes |
def airport_chart(source: alt.Chart, subset: List[str], name: str) -> alt.Chart: chart = source.transform_filter( alt.FieldOneOfPredicate(field="airport", oneOf=subset) ) highlight = alt.selection( type="single", nearest=True, on="mouseover", fields=["airport"] ) points = ( chart.mark_point() .encode( x="day", y=alt.Y("count", title="# of departing flights"), color=alt.Color("airport", legend=alt.Legend(title=name)), tooltip=["day", "airport", "city", "count"], opacity=alt.value(0.3), ) .add_selection(highlight) ) lines = ( chart.mark_line() .encode( x="day", y="count", color="airport", size=alt.condition(~highlight, alt.value(1), alt.value(3)), ) .transform_loess("day", "count", groupby=["airport"], bandwidth=0.2) ) return lines + points
Example #5
Source File: core.py From starborn with BSD 3-Clause "New" or "Revised" License | 5 votes |
def heatmap(data, vmin=None, vmax=None, annot=None, fmt='.2g'): # We always want to have a DataFrame with semantic information if not isinstance(data, pd.DataFrame): matrix = np.asarray(data) data = pd.DataFrame(matrix) melted = data.stack().reset_index(name='Value') x = data.columns.name y = data.index.name heatmap = alt.Chart(melted).mark_rect().encode( alt.X('{x}:O'.format(x=x), scale=alt.Scale(paddingInner=0)), alt.Y('{y}:O'.format(y=y), scale=alt.Scale(paddingInner=0)), color='Value:Q' ) if not annot: return heatmap # Overlay text text = alt.Chart(melted).mark_text(baseline='middle').encode( x='{x}:O'.format(x=x), y='{y}:O'.format(y=y), text=alt.Text('Value', format=fmt), color=alt.condition(alt.expr.datum['Value'] > 70, alt.value('black'), alt.value('white')) ) return heatmap + text