非常感謝有關如何為我的 Dash Web 應用程序進行正確回調的一些幫助。我在下面有以下代碼。它應該返回一個圖表，其中包含有關股票財務狀況的各種線條。它從 API 獲取數據。但我不確定如何為應用回調定義我的函數。我嘗試過遵循在線教程，但取得了任何成功。如果它太混亂或效率低下，我深表歉意，我是新手。'''#!/usr/bin/env pythonimport pandas as pdimport requestsimport jsonimport plotlyimport chart_studio.plotly as pyimport plotly.graph_objs as goimport plotly.express as pximport dashimport dash_core_components as dccimport dash_html_components as htmlfrom dash.dependencies import Output, Inputticker = input("Insert company ticker: ")qoy = input("QUARTERLY or YEARLY: ")if qoy == "Yearly" or qoy == "yearly" or qoy == "YEARLY": IS = requests.get("https://financialmodelingprep.com/api/v3/financials/income-statement/" + ticker)elif qoy == "Quarterly" or qoy == "quarterly" or qoy == "QUARTERLY": IS = requests.get( "https://financialmodelingprep.com/api/v3/financials/income-statement/" + ticker + "?period=quarter")IS = IS.json()IS = IS['financials']IS = pd.DataFrame.from_dict(IS)IS = IS.set_index("date")if qoy == "Yearly" or qoy == "yearly" or qoy == "YEARLY": BS = requests.get("https://financialmodelingprep.com/api/v3/financials/balance-sheet-statement/" + ticker)elif qoy == "Quarterly" or qoy == "quarterly" or qoy == "QUARTERLY": BS = requests.get( "https://financialmodelingprep.com/api/v3/financials/balance-sheet-statement/" + ticker + "?period=quarter")BS = BS.json()BS = BS['financials']BS = pd.DataFrame.from_dict(BS)BS = BS.set_index("date")if qoy == "Yearly" or qoy == "yearly" or qoy == "YEARLY": CF = requests.get("https://financialmodelingprep.com/api/v3/financials/cash-flow-statement/" + ticker)elif qoy == "Quarterly" or qoy == "quarterly" or qoy == "QUARTERLY": CF = requests.get( "https://financialmodelingprep.com/api/v3/financials/cash-flow-statement/" + ticker + "?period=quarter")CF = CF.json()CF = CF['financials']CF = pd.DataFrame.from_dict(CF)CF = CF.set_index("date")df_FS = pd.concat([IS, BS, CF], axis=1, sort=True)Date = df_FS.indexdf_FS.fillna(0, inplace=True)print(df_FS)
1 回答
慕碼人2483693
TA貢獻1860條經驗 獲得超9個贊
您必須在回調中執行所有數據處理，因為它們需要輸入和按鈕值。有多種方法可以解決此問題，具體取決于您希望應用程序如何響應輸入。一種方法是這樣。在這里，主要輸入是qoy，回調使用stock input. 因此，在您選擇 之前，輸入股票輸入不會更新應用程序qoy。
#!/usr/bin/env python
from plotly.subplots import make_subplots
import pandas as pd
import requests
import json
import plotly
import chart_studio.plotly as py
import plotly.graph_objs as go
import plotly.express as px
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Output, Input, State
from dash.exceptions import PreventUpdate
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.layout = html.Div([
# Input the stock ticker
html.Div([
dcc.Input(id="stock-input",
placeholder='Please insert stock', type="text"),
dcc.RadioItems(
id="quarterlyoryearly",
options=[
{'label': 'Quarterly', 'value': 'quarterly'},
{'label': 'Yearly', 'value': 'yearly'}
]
)
]),
# Banner of app
html.Div([
html.H2("Stock App")
], className="banner"),
# Graphs
html.Div([
# Earnings & Revenue Graph
html.Div([
dcc.Graph(
id="Earnings & Revenue",
# figure=fig
)
], className="six columns"),
], className="row")
])
@app.callback(Output("quarterlyoryearly", "value"),
[Input("stock-input", "n_submit")],
[State("quarterlyoryearly", "value")])
def enter_key(n_sub, qoy):
if n_sub:
return qoy
@app.callback(dash.dependencies.Output("Earnings & Revenue", "figure"),
[dash.dependencies.Input("quarterlyoryearly", "value")],
[dash.dependencies.State("stock-input", "value")]
)
def update_fig(*args):
if not any(args):
raise PreventUpdate
else:
qoy, ticker = args
if qoy.lower() == "yearly":
IS = requests.get(
"https://financialmodelingprep.com/api/v3/financials/income-statement/" + ticker)
elif qoy.lower() == "quarterly":
IS = requests.get(
"https://financialmodelingprep.com/api/v3/financials/income-statement/" + ticker + "?period=quarter")
IS = IS.json()
IS = IS['financials']
IS = pd.DataFrame.from_dict(IS)
IS = IS.set_index("date")
if qoy == "Yearly" or qoy == "yearly" or qoy == "YEARLY":
BS = requests.get(
"https://financialmodelingprep.com/api/v3/financials/balance-sheet-statement/" + ticker)
elif qoy == "Quarterly" or qoy == "quarterly" or qoy == "QUARTERLY":
BS = requests.get(
"https://financialmodelingprep.com/api/v3/financials/balance-sheet-statement/" + ticker + "?period=quarter")
BS = BS.json()
BS = BS['financials']
BS = pd.DataFrame.from_dict(BS)
BS = BS.set_index("date")
if qoy == "Yearly" or qoy == "yearly" or qoy == "YEARLY":
CF = requests.get(
"https://financialmodelingprep.com/api/v3/financials/cash-flow-statement/" + ticker)
elif qoy == "Quarterly" or qoy == "quarterly" or qoy == "QUARTERLY":
CF = requests.get(
"https://financialmodelingprep.com/api/v3/financials/cash-flow-statement/" + ticker + "?period=quarter")
CF = CF.json()
CF = CF['financials']
CF = pd.DataFrame.from_dict(CF)
CF = CF.set_index("date")
df_FS = pd.concat([IS, BS, CF], axis=1, sort=True)
Date = df_FS.index
df_FS.fillna(0, inplace=True)
# EARNINGS & REVENUE
fig = make_subplots(specs=[[{"secondary_y": True}]])
fig.add_trace(go.Scatter(x=Date, y=df_FS['Revenue'],
mode='lines+markers',
name='Revenue'), secondary_y=False, )
fig.add_trace(go.Bar(x=Date, y=df_FS['Profit Margin'],
opacity=0.2,
name='Profit Margin'), secondary_y=True, )
fig.add_trace(go.Scatter(x=Date, y=df_FS['Consolidated Income'],
mode='lines+markers',
name='Earnings'), secondary_y=False, )
fig.add_trace(go.Scatter(x=Date, y=df_FS['Operating Cash Flow'],
mode='lines+markers',
name='Operating Cash Flow'), secondary_y=False, )
fig.add_trace(go.Scatter(x=Date, y=df_FS['Free Cash Flow'],
mode='lines+markers',
name='Free Cash Flow'), secondary_y=False, )
fig.add_trace(go.Scatter(x=Date, y=df_FS['Operating Expenses'],
mode='lines+markers',
name='Operating Expenses'), secondary_y=False, )
fig.update_layout(title="EARNINGS & REVENUE",
barmode='group', hovermode='x')
fig.update_yaxes(title_text="in USD", secondary_y=False)
fig.update_yaxes(title_text="Profit Margin", secondary_y=True)
fig.update_xaxes(rangeslider_visible=True)
return fig
if __name__ == '__main__':
app.run_server(debug=False)
你可以玩轉輸入和狀態選項，看看應用程序是如何響應的。干杯!
PS：我添加了另一個回調，所以在第一個qoy和ticker值之后，您可以簡單地更改ticker輸入字段并點擊輸入按鈕（因為qoy已經選擇了）來更新您的應用程序。希望這能讓您更深入地了解回調是如何工作的。
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