本文整理汇总了Python中altair.Axis方法的典型用法代码示例。如果您正苦于以下问题：Python altair.Axis方法的具体用法？Python altair.Axis怎么用？Python altair.Axis使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类altair的用法示例。
在下文中一共展示了altair.Axis方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: violinplot
# 需要导入模块: import altair [as 别名]
# 或者: from altair import Axis [as 别名]
def violinplot(x=None, y=None, data=None, orient=None):
# TODO: automatically infer orientation
if orient is None or orient == 'v':
kwargs = dict(
x=alt.X('count(*):Q',
axis=alt.Axis(grid=False, labels=False),
stack='center',
title=''),
y=alt.Y('{y}:Q'.format(y=y), bin=alt.Bin(maxbins=100)),
column='{x}:N'.format(x=x),
color='{x}:N'.format(x=x)
)
else:
kwargs = dict(
y=alt.Y('count(*):Q',
axis=alt.Axis(grid=False, labels=False),
stack='center',
title=''),
x=alt.X('{x}:Q'.format(x=x), bin=alt.Bin(maxbins=100)),
row='{y}:N'.format(y=y),
color='{y}:N'.format(y=y)
)
chart = alt.Chart(data).mark_area().encode(**kwargs)
return chart 示例2: jointplot
# 需要导入模块: import altair [as 别名]
# 或者: from altair import Axis [as 别名]
def jointplot(x, y, data, kind='scatter', hue=None, xlim=None, ylim=None):
if xlim is None:
xlim = get_limit_tuple(data[x])
if ylim is None:
ylim = get_limit_tuple(data[y])
xscale = alt.Scale(domain=xlim)
yscale = alt.Scale(domain=ylim)
points = scatterplot(x, y, data, hue=hue, xlim=xlim, ylim=ylim)
area_args = {'opacity': .3, 'interpolate': 'step'}
blank_axis = alt.Axis(title='')
top_hist = alt.Chart(data).mark_area(**area_args).encode(
alt.X('{x}:Q'.format(x=x),
# when using bins, the axis scale is set through
# the bin extent, so we do not specify the scale here
# (which would be ignored anyway)
bin=alt.Bin(maxbins=20, extent=xscale.domain),
stack=None,
axis=blank_axis,
),
alt.Y('count()', stack=None, axis=blank_axis),
alt.Color('{hue}:N'.format(hue=hue)),
).properties(height=60)
right_hist = alt.Chart(data).mark_area(**area_args).encode(
alt.Y('{y}:Q'.format(y=y),
bin=alt.Bin(maxbins=20, extent=yscale.domain),
stack=None,
axis=blank_axis,
),
alt.X('count()', stack=None, axis=blank_axis),
alt.Color('{hue}:N'.format(hue=hue)),
).properties(width=60)
return top_hist & (points | right_hist) 示例3: boxplot_vertical
# 需要导入模块: import altair [as 别名]
# 或者: from altair import Axis [as 别名]
def boxplot_vertical(x=None, y=None, hue=None, data=None, order=None):
# orientation_mapper = {'v': {'x': 'x', 'y': 'y'},
# 'h': {'x': 'y', 'y': 'x'}}
# Define aggregate fields
lower_box = 'q1({value}):Q'.format(value=y)
lower_whisker = 'min({value}):Q'.format(value=y)
upper_box = 'q3({value}):Q'.format(value=y)
upper_whisker = 'max({value}):Q'.format(value=y)
kwargs = {'x': '{x}:O'.format(x=x)}
if hue is not None:
kwargs['color'] = '{hue}:N'.format(hue=hue)
# Swap x for column
column, kwargs['x'] = kwargs['x'], '{hue}:N'.format(hue=hue)
base = alt.Chart().encode(
**kwargs
)
# Compose each layer individually
lower_whisker = base.mark_rule().encode(
y=alt.Y(lower_whisker, axis=alt.Axis(title=y)),
y2=lower_box,
)
middle_bar_kwargs = dict(
y=lower_box,
y2=upper_box,
)
if hue is None:
middle_bar_kwargs['color'] = 'year:O'
middle_bar = base.mark_bar(size=10.0).encode(**middle_bar_kwargs)
upper_whisker = base.mark_rule().encode(
y=upper_whisker,
y2=upper_box,
)
middle_tick = base.mark_tick(
color='white',
size=10.0
).encode(
y='median({value}):Q'.format(value=y),
)
chart = (lower_whisker + upper_whisker + middle_bar + middle_tick)
if hue is None:
chart.data = data
return chart
else:
return chart.facet(column=column, data=data)