我试图在嵌入在 Python Dash 中的交互式条形图中可视化不同金融基准(A、X)的加权方案。每个基准由不同权重的不同指数组成。切换或取消选择基准时,条形图应相应更改。不知何故,我无法正确调整代码的回调部分,因为我无法创建条形图。有人熟悉这个问题吗?
我正在使用 Jupyter Notebook。这是我的带有数据示例的代码:
包和数据:
import pandas as pd
import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
import plotly.express as px
data = [['A', 'B', 0.4], ['A', 'C', 0.5], ['A', 'D', 0.1], ['X', 'Y', 0.15], ['X', 'Z', 0.85]]
df = pd.DataFrame(data, columns = ['BM_NAME', 'INDEX_NAME', 'WEIGHT'])
df
条形图。在破折号中,想法是为单个选定的基准测试显示单个条形图(因此“multi”设置为“false”):
barchart = px.bar(
data_frame=df,
x="BM_NAME",
y="WEIGHT",
color="INDEX_NAME",
opacity=0.9,
barmode='group')
barchart
破折号:
# create the Dash app
app = dash.Dash()
# set up app layout
app.layout = html.Div(children=[
html.H1(children='BM Composition'),
dcc.Dropdown(id='BM-dropdown',
options=[{'label': x, 'value': x}
for x in df.BM_NAME.unique()],
value='A',
multi=False, clearable=True),
dcc.Graph(id='bar-chart')
])
# set up the callback function
@app.callback(
Output(component_id="bar-chart", component_property="figure"),
[Input(component_id="BM-dropdown", component_property="value")],
)
def display_BM_composition(selected_BM):
dff = df.BM_NAME.unique() # Only use unique values in column "BM_NAME" selected in dropdown
barchart = px.bar(
data_frame=df,
x=filtered_BM,
y="WEIGHT",
color="INDEX_NAME",
opacity=0.9,
barmode='group')
return barchart
# Run local server
if __name__ == '__main__':
app.run_server(debug=True, use_reloader=False)
非常感谢任何帮助或改进建议!
编辑经过一些尝试,我找到了以下解决方案,它非常适合我:
@app.callback(
Output(component_id="bar-chart", component_property="figure"),
[Input(component_id="BM-dropdown", component_property="value")],
)
def display_BM_composition(selected_BM):
filtered_BM = df[df.BM_NAME == selected_BM] # Only use unique values in column "BM_NAME" selected in dropdown
barchart = px.bar(
data_frame=filtered_BM,
x="BM_NAME",
y="WEIGHT",
color="INDEX_NAME",
opacity=0.9,
barmode='group')
return barchart
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