Add another set of gallery examples

altair/examples/interval_selection.py

@@ -13,16 +13,13 @@
 
 brush = alt.selection(type='interval', encodings=['x'])
 
-base = alt.Chart(source).mark_area().encode(
+base = alt.Chart(source, width=600, height=200).mark_area().encode(
     x = 'date:T',
     y = 'price:Q'
-).properties(
-    width=600,
-    height=200
 )
 
 upper = base.encode(
-    alt.X('date:T', scale=alt.Scale(domain=brush))
+    alt.X('date:T').scale(domain=brush)
 )
 
 lower = base.properties(

altair/examples/iowa_electricity.py

@@ -10,18 +10,10 @@
 source = data.iowa_electricity()
 
 alt.Chart(source, title="Iowa's renewable energy boom").mark_area().encode(
-    x=alt.X(
-        "year:T",
-        title="Year"
-    ),
-    y=alt.Y(
-        "net_generation:Q",
-        stack="normalize",
-        title="Share of net generation",
-        axis=alt.Axis(format=".0%"),
-    ),
-    color=alt.Color(
-        "source:N",
-        legend=alt.Legend(title="Electricity source"),
-    )
+    alt.X("year:T").title("Year"),
+    alt.Y("net_generation:Q")
+        .title("Share of net generation")
+        .stack("normalize")
+        .axis(format=".0%"),
+    alt.Color("source:N").title("Electricity source")
 )

altair/examples/isotype.py

@@ -67,12 +67,15 @@
 )
 
 alt.Chart(source).mark_point(filled=True, opacity=1, size=100).encode(
-    alt.X('x:O', axis=None),
-    alt.Y('animal:O', axis=None),
-    alt.Row('country:N', header=alt.Header(title='')),
-    alt.Shape('animal:N', legend=None, scale=shape_scale),
-    alt.Color('animal:N', legend=None, scale=color_scale),
+    alt.X('x:O').axis(None),
+    alt.Y('animal:O').axis(None),
+    alt.Row('country:N').header(title=''),
+    alt.Shape('animal:N').legend(None).scale(shape_scale),
+    alt.Color('animal:N').legend(None).scale(color_scale),
 ).transform_window(
     x='rank()',
     groupby=['country', 'animal']
-).properties(width=550, height=140)
+).properties(
+    width=550,
+    height=140
+)

altair/examples/isotype_emoji.py

@@ -51,13 +51,16 @@
 
 
 alt.Chart(source).mark_text(size=45, baseline='middle').encode(
-    alt.X('x:O', axis=None),
-    alt.Y('animal:O', axis=None),
-    alt.Row('country:N', header=alt.Header(title='')),
+    alt.X('x:O').axis(None),
+    alt.Y('animal:O').axis(None),
+    alt.Row('country:N').title(''),
     alt.Text('emoji:N')
 ).transform_calculate(
     emoji="{'cattle': '🐄', 'pigs': '🐖', 'sheep': '🐏'}[datum.animal]"
 ).transform_window(
     x='rank()',
     groupby=['country', 'animal']
-).properties(width=550, height=140)
+).properties(
+    width=550,
+    height=140
+)

altair/examples/isotype_grid.py

@@ -27,9 +27,9 @@
     filled=True,
     size=50
 ).encode(
-    x=alt.X("col:O", axis=None),
-    y=alt.Y("row:O", axis=None),
-    shape=alt.ShapeValue(person)
+    alt.X("col:O").axis(None),
+    alt.Y("row:O").axis(None),
+    alt.ShapeValue(person)
 ).properties(
     width=400,
     height=400

altair/examples/lasagna_plot.py

@@ -17,17 +17,15 @@
 alt.Chart(source, width=300, height=100).transform_filter(
     alt.datum.symbol != "GOOG"
 ).mark_rect().encode(
-    x=alt.X(
-        "yearmonthdate(date):O",
-        axis=alt.Axis(
+    alt.X("yearmonthdate(date):O")
+        .title("Time")
+        .axis(
             format="%Y",
             labelAngle=0,
             labelOverlap=False,
             labelColor=color_condition,
             tickColor=color_condition,
         ),
-        title="Time",
-    ),
-    y=alt.Y("symbol:N", title=None),
-    color=alt.Color("sum(price)", title="Price"),
+    alt.Y("symbol:N").title(None),
+    alt.Color("sum(price)").title("Price")
 )

altair/examples/layered_area_chart.py

@@ -11,6 +11,6 @@
 
 alt.Chart(source).mark_area(opacity=0.3).encode(
     x="year:T",
-    y=alt.Y("net_generation:Q", stack=None),
+    y=alt.Y("net_generation:Q").stack(None),
     color="source:N"
 )

altair/examples/layered_bar_chart.py

@@ -11,6 +11,6 @@
 
 alt.Chart(source).mark_bar(opacity=0.7).encode(
     x='year:O',
-    y=alt.Y('net_generation:Q', stack=None),
+    y=alt.Y('net_generation:Q').stack(None),
     color="source",
 )

altair/examples/layered_chart_with_dual_axis.py

@@ -11,20 +11,18 @@
 source = data.seattle_weather()
 
 base = alt.Chart(source).encode(
-    alt.X('month(date):T', axis=alt.Axis(title=None))
+    alt.X('month(date):T').axis(title=None)
 )
 
 area = base.mark_area(opacity=0.3, color='#57A44C').encode(
-    alt.Y('average(temp_max)',
-          axis=alt.Axis(title='Avg. Temperature (°C)', titleColor='#57A44C')),
+    alt.Y('average(temp_max)').title('Avg. Temperature (°C)', titleColor='#57A44C'),
     alt.Y2('average(temp_min)')
 )
 
 line = base.mark_line(stroke='#5276A7', interpolate='monotone').encode(
-    alt.Y('average(precipitation)',
-          axis=alt.Axis(title='Precipitation (inches)', titleColor='#5276A7'))
+    alt.Y('average(precipitation)').title('Precipitation (inches)', titleColor='#5276A7')
 )
 
 alt.layer(area, line).resolve_scale(
-    y = 'independent'
+    y='independent'
 )

altair/examples/layered_heatmap_text.py

@@ -22,15 +22,14 @@
 
 # Configure heatmap
 heatmap = base.mark_rect().encode(
-    color=alt.Color('mean_horsepower:Q',
-        scale=alt.Scale(scheme='viridis'),
-        legend=alt.Legend(title="Mean of Horsepower"),
-    )
+    alt.Color('mean_horsepower:Q')
+        .scale(scheme='viridis')
+        .title("Mean of Horsepower")
 )
 
 # Configure text
 text = base.mark_text(baseline='middle').encode(
-    text=alt.Text('mean_horsepower:Q', format=".0f"),
+    alt.Text('mean_horsepower:Q', format=".0f"),
     color=alt.condition(
         alt.datum.mean_horsepower > 150,
         alt.value('black'),

altair/examples/layered_histogram.py

@@ -23,7 +23,7 @@
     opacity=0.3,
     binSpacing=0
 ).encode(
-    alt.X('Measurement:Q', bin=alt.Bin(maxbins=100)),
-    alt.Y('count()', stack=None),
+    alt.X('Measurement:Q').bin(maxbins=100),
+    alt.Y('count()').stack(None),
     alt.Color('Experiment:N')
 )

altair/examples/line_chart_with_color_datum.py

@@ -1,7 +1,7 @@
 """
 Line Chart with Datum for Color
 -------------------------------
-An example of using ``datum`` and ``repeat`` to color a multi-series line chart.
+An example of using ``repeat`` inside ``datum`` to color a multi-series line chart.
 This is adapted from this corresponding Vega-Lite Example:
 `Repeat and Layer to Show Different Movie Measures <https://vega.github.io/vega-lite/examples/repeat_layer.html>`_.
 """
@@ -13,9 +13,11 @@
 source = data.movies()
 
 alt.Chart(source).mark_line().encode(
-    x=alt.X("IMDB_Rating", bin=True),
-    y=alt.Y(
-        alt.repeat("layer"), aggregate="mean", title="Mean of US and Worldwide Gross"
-    ),
+    alt.X("IMDB_Rating").bin(True),
+    alt.Y(alt.repeat("layer"))
+        .aggregate("mean")
+        .title("Mean of US and Worldwide Gross"),
     color=alt.datum(alt.repeat("layer")),
-).repeat(layer=["US_Gross", "Worldwide_Gross"])
+).repeat(
+    layer=["US_Gross", "Worldwide_Gross"]
+)

altair/examples/line_chart_with_cumsum.py

@@ -9,7 +9,7 @@
 
 source = data.wheat()
 
-alt.Chart(source).mark_line().transform_window(
+alt.Chart(source, width=600).mark_line().transform_window(
     # Sort the data chronologically
     sort=[{'field': 'year'}],
     # Include all previous records before the current record and none after
@@ -21,4 +21,4 @@
     x='year:O',
     # Plot the calculated field created by the transformation
     y='cumulative_wheat:Q'
-).properties(width=600)
+)

altair/examples/line_chart_with_custom_legend.py

@@ -12,7 +12,7 @@
 source = data.stocks()
 
 base = alt.Chart(source).encode(
-    color=alt.Color("symbol", legend=None)
+    alt.Color("symbol").legend(None)
 ).transform_filter(
     "datum.symbol !== 'IBM'"
 ).properties(
@@ -23,8 +23,8 @@
 
 
 last_price = base.mark_circle().encode(
-    x=alt.X("last_date['date']:T"),
-    y=alt.Y("last_date['price']:Q")
+    alt.X("last_date['date']:T"),
+    alt.Y("last_date['price']:Q")
 ).transform_aggregate(
     last_date="argmax(date)",
     groupby=["symbol"]
@@ -33,8 +33,8 @@
 company_name = last_price.mark_text(align="left", dx=4).encode(text="symbol")
 
 chart = (line + last_price + company_name).encode(
-    x=alt.X(title="date"),
-    y=alt.Y(title="price")
+    x=alt.X().title("date"),
+    y=alt.Y().title("price")
 )
 
 chart

altair/examples/line_percent.py

@@ -11,8 +11,8 @@
 
 alt.Chart(source).mark_line().encode(
     alt.X('year:O'),
-    alt.Y('perc:Q', axis=alt.Axis(format='%')),
-    color='sex:N'
+    alt.Y('perc:Q').axis(format='%'),
+    alt.Color('sex:N')
 ).transform_filter(
     alt.datum.job == 'Welder'
 )

altair/examples/line_with_ci.py

@@ -16,7 +16,7 @@
 
 band = alt.Chart(source).mark_errorband(extent='ci').encode(
     x='Year',
-    y=alt.Y('Miles_per_Gallon', title='Miles/Gallon'),
+    y=alt.Y('Miles_per_Gallon').title('Miles/Gallon'),
 )
 
 band + line

altair/examples/line_with_log_scale.py

@@ -11,8 +11,5 @@
 
 alt.Chart(source).mark_line().encode(
     x='year:O',
-    y=alt.Y(
-        'sum(people)',
-        scale=alt.Scale(type="log")  # Here the scale is applied
-    )
-)
+    y=alt.Y('sum(people)').scale(type="log")
+)

altair/examples/london_tube.py

@@ -13,14 +13,11 @@
 tubelines = alt.topo_feature(data.londonTubeLines.url, 'line')
 centroids = data.londonCentroids.url
 
-background = alt.Chart(boroughs).mark_geoshape(
+background = alt.Chart(boroughs, width=700, height=500).mark_geoshape(
     stroke='white',
     strokeWidth=2
 ).encode(
     color=alt.value('#eee'),
-).properties(
-    width=700,
-    height=500
 )
 
 labels = alt.Chart(centroids).mark_text().encode(
@@ -45,15 +42,10 @@
     filled=False,
     strokeWidth=2
 ).encode(
-    alt.Color(
-        'id:N',
-        legend=alt.Legend(
-            title=None,
-            orient='bottom-right',
-            offset=0
-        ),
-        scale=line_scale
-    )
+    alt.Color('id:N')
+        .title(None)
+        .legend(orient='bottom-right', offset=0)
+        .scale(line_scale)
 )
 
 background + labels + lines