[英]Plotly Express scatter plot: dropdown not working
我正在尝试将下拉框添加到使用 plotly.express 构建的散点图中。 到目前为止,我已经能够添加一个带有正确选项的下拉框,但是当我输入 select 其中之一时,图表不会更新。 它旨在在三个选项之间进行过滤。 有谁能告诉我我做错了什么?
代码:
fig = px.scatter(phl_crime, x="Age of accused", y = "Victim age", color="Charge", title="Relationship between victim and assailant age, Philadelphia homicides (x-y)", labels={"Age of accused": "Assailant age"})
fig.update_layout(
updatemenus=[
dict(
buttons=list([
dict(
args=["Charge", "Murder"],
label="Murder",
method="restyle"
),
dict(
args=["Charge", "Manslaughter"],
label="Manslaughter",
method="restyle"
),
dict(
args=["Charge", "Abortion"],
label="Abortion",
method="restyle"
)
]),
direction="down",
pad={"r": 10, "t": 10},
showactive=True,
x=0.1,
xanchor="left",
y=1.1,
yanchor="top"
),
]
)
fig.show()
更新:这是使用phl_crime.head().to_dict()
的 phl_crime 字典示例:
{'Year': {0: 1902, 1: 1902, 2: 1902, 3: 1902, 4: 1902}, 'Charge': {0: 'Murder', 1: 'Murder', 2: 'Murder', 3: 'Abortion', 4: 'Murder'}, 'Gender of accused': {0: 'Male', 1: 'Female', 2: 'Male', 3: 'Female', 4: 'Male'}, 'Age of accused': {0: nan, 1: nan, 2: nan, 3: 47.0, 4: nan}, 'Victim age': {0: nan, 1: nan, 2: nan, 3: nan, 4: nan}, 'Weapon': {0: 'Fist, other body part', 1: nan, 2: 'Knife, sharp instrument', 3: nan, 4: 'Knife, sharp instrument'}, 'Gang': {0: 'Teen gang', 1: 'No gang', 2: 'No gang', 3: 'No gang', 4: 'No gang'}}
如果对其他人有帮助,我现在已经通过以下方式解决了这个问题:
update
而不是restyle
方法active
键添加到updatemenus
字典visible
键添加到args
列表并将值设置为True/False
(取决于 label 的数据是否应该出现)。这是修改后的工作代码:
fig = px.scatter(phl_crime, x="Age of accused", y = "Victim age", color="Charge", title="Relationship between victim and assailant age, Philadelphia homicides (x-y)", labels={"Age of accused": "Assailant age"})
fig.update_layout(title="Relationship between victim age and assailant age, Philadelphia homicides (x-y)",
xaxis=dict(
title="Age of accused"
),
yaxis=dict(
title="Age of victim"
))
# Add dropdown with dynamic titles
fig.update_layout(
updatemenus=[
dict(
active=0,
buttons=list([
dict(label="All charges",
method="update",
args=[{"visible": [True, True, True]},
{"title": "Relationship between victim and assailant age, Philadelphia homicides (x-y)",
"xaxis": {'title': "Age of accused"},
"yaxis": {'title': "Victim age"}}]),
dict(label="Murder",
method="update",
args=[{"visible": [True, False, False]},
{"title": "A dynamic title: ages of accused and victims in murder charges",
"xaxis": {'title': "Dynamic label: age of accused"},
"yaxis": {'title': "Dynamic label: victim age"}}]),
dict(label="Manslaughter",
method="update",
args=[{"visible": [False, False, True]},
{"title": "Another dynamic title: ages of accused and victims in manslaughter charges",
"xaxis": {'title': "Another dynamic label: age of accused"},
"yaxis": {'title': "Another dynamic label: victim age"}}]),
dict(label="Abortion",
method="update",
args=[{"visible": [False, True, False]},
{"title": "More dynamism: ages of accused and victims in abortion charges",
"xaxis": {'title': "More dynamism: age of accused"},
"yaxis": {'title': "More dynamism: victim age"}}])
]),
)
])
(请忽略不相关的添加标题/x 轴/y 轴数据)。 下拉框现在可以使用了。
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