df2 = df_from_json(data)
df2 = df2.sort('total', ascending=False)
df2 = df2.head(10)
df2 = pd.melt(df2, id_vars=['abbr', 'name'])
scatter5 = Scatter(df2,
x='value',
y='name',
color='variable',
title="x='value', y='name', color='variable'",
xlabel="Medals",
ylabel="Top 10 Countries",
legend='bottom_right')
scatter6 = Scatter(
flowers,
x=blend('petal_length', 'sepal_length', name='length'),
y=blend('petal_width', 'sepal_width', name='width'),
color='species',
title=
'x=petal_length+sepal_length, y=petal_width+sepal_width, color=species',
legend='top_right')
scatter6.title_text_font_size = '10pt'
output_file("scatter_multi.html", title="scatter_multi.py example")
show(
vplot(hplot(scatter0, scatter1), hplot(scatter2, scatter3),
hplot(scatter4, scatter5), hplot(scatter6)))
scatter4 = Scatter(
df, x='mpg', y='hp', color='cyl', marker='origin', title="x='mpg', y='hp', color='cyl', marker='origin'",
xlabel="Miles Per Gallon", ylabel="Horsepower", legend='top_right')
# Example with nested json/dict like data, which has been pre-aggregated and pivoted
df2 = df_from_json(data)
df2 = df2.sort('total', ascending=False)
df2 = df2.head(10)
df2 = pd.melt(df2, id_vars=['abbr', 'name'])
scatter5 = Scatter(
df2, x='value', y='name', color='variable', title="x='value', y='name', color='variable'",
xlabel="Medals", ylabel="Top 10 Countries", legend='bottom_right')
scatter6 = Scatter(flowers, x=blend('petal_length', 'sepal_length', name='length'),
y=blend('petal_width', 'sepal_width', name='width'), color='species',
title='x=petal_length+sepal_length, y=petal_width+sepal_width, color=species',
legend='top_right')
scatter6.title_text_font_size = '10pt'
output_file("scatter_multi.html", title="scatter_multi.py example")
show(vplot(
hplot(scatter0, scatter1),
hplot(scatter2, scatter3),
hplot(scatter4, scatter5),
hplot(scatter6)
))
