本文整理汇总了Python中altair.Bin方法的典型用法代码示例。如果您正苦于以下问题：Python altair.Bin方法的具体用法？Python altair.Bin怎么用？Python altair.Bin使用的例子？那么恭喜您, 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.Bin方法的6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 Bin [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: hist
# 需要导入模块: import altair [as 别名]
# 或者: from altair import Bin [as 别名]
def hist(self, bins=None, orientation="vertical", **kwargs):
data = self._preprocess_data(with_index=False)
column = data.columns[0]
if isinstance(bins, int):
bins = alt.Bin(maxbins=bins)
elif bins is None:
bins = True
if orientation == "vertical":
Indep, Dep = alt.X, alt.Y
elif orientation == "horizontal":
Indep, Dep = alt.Y, alt.X
else:
raise ValueError("orientation must be 'horizontal' or 'vertical'.")
mark = self._get_mark_def({"type": "bar", "orient": orientation}, kwargs)
return alt.Chart(data, mark=mark).encode(
Indep(column, title=None, bin=bins), Dep("count()", title="Frequency")
) 示例3: test_df_hexbin
# 需要导入模块: import altair [as 别名]
# 或者: from altair import Bin [as 别名]
def test_df_hexbin():
df = pd.DataFrame({"x": range(10), "y": range(10), "C": range(10)})
gridsize = 10
plot = df.vgplot.hexbin(x="x", y="y", gridsize=gridsize)
assert plot.mark == "rect"
utils.check_encodings(plot, x="x", y="y", color=utils.IGNORE)
assert plot["encoding"]["x"]["bin"] == alt.Bin(maxbins=gridsize)
assert plot["encoding"]["y"]["bin"] == alt.Bin(maxbins=gridsize)
assert plot["encoding"]["color"]["aggregate"] == "count" 示例4: test_df_hexbin_C
# 需要导入模块: import altair [as 别名]
# 或者: from altair import Bin [as 别名]
def test_df_hexbin_C():
df = pd.DataFrame({"x": range(10), "y": range(10), "C": range(10)})
gridsize = 10
plot = df.vgplot.hexbin(x="x", y="y", C="C", gridsize=gridsize)
assert plot.mark == "rect"
utils.check_encodings(plot, x="x", y="y", color="C")
assert plot["encoding"]["x"]["bin"] == alt.Bin(maxbins=gridsize)
assert plot["encoding"]["y"]["bin"] == alt.Bin(maxbins=gridsize)
assert plot["encoding"]["color"]["aggregate"] == "mean" 示例5: show_document_length_distribution
# 需要导入模块: import altair [as 别名]
# 或者: from altair import Bin [as 别名]
def show_document_length_distribution(tokens: List[List[str]]):
st.header("Document Length Distribution")
document_lengths = get_document_lengths(tokens)
doc_lengths = pd.DataFrame({"Token Count": document_lengths})
doc_length_chart = (
alt.Chart(doc_lengths, height=500, width=700)
.mark_bar()
.encode(
alt.X("Token Count", bin=alt.Bin(maxbins=30)),
alt.Y("count()", type="quantitative"),
)
)
st.altair_chart(doc_length_chart) 示例6: jointplot
# 需要导入模块: import altair [as 别名]
# 或者: from altair import Bin [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)