我正在使用 dash 和 plotly 構建一個簡單的 python 儀表板。我也是 python 的新手（可能很明顯?。?，我很高興任何/所有更正。我想從預先確定的 CSV 文件中繪制時間序列數據。我添加了一個下拉選擇框，我想用它來繪制多個不同的列。樣本數據："TOA5","HE605_RV50_GAF","CR6","7225","CR6.Std.07","CPU:BiSP5_GAF_v2d.CR6","51755","SensorStats""TIMESTAMP","RECORD","BattV_Min","BattV_Avg","PTemp_C_Avg","SensorRel_Min(1)","SensorRel_Min(2)","SensorRel_Min(3)","SensorRel_Min(4)","SensorRel_Min(5)","SensorRel_Max(1)","SensorRel_Max(2)","SensorRel_Max(3)","SensorRel_Max(4)","SensorRel_Max(5)""TS","RN","Volts","Volts","Deg C","","","","","","","","","","""","","Min","Avg","Avg","Min","Min","Min","Min","Min","Max","Max","Max","Max","Max""2019-09-30 11:15:00",0,12.68219,12.74209,"NAN","NAN","NAN","NAN","NAN","NAN","NAN","NAN","NAN","NAN","NAN""2019-09-30 11:30:00",1,12.68466,12.73777,31.26331,-2.498894,-2.38887,-8.497528,-2.963989,-20.42339,41.51585,28.41309,88.98283,27.27819,17.98986"2019-09-30 11:45:00",2,12.69364,12.74584,31.43891,-3.490456,-2.856804,-8.770081,-3.879868,-22.69171,42.27676,30.53723,89.47752,34.25191,23.92586"2019-09-30 12:00:00",3,12.69078,12.74522,31.38461,-3.290047,-2.973389,-8.69928,-3.295074,-21.88254,42.72508,29.91062,83.36012,27.9931,22.6571"2019-09-30 12:15:00",4,12.6914,12.74376,31.2449,-2.899231,-2.392128,-10.01413,-2.996033,-23.22171,42.97162,29.20943,106.1204,35.93995,41.74426我的 python(3.7) 代碼是：import dashimport dash_core_components as dccimport dash_html_components as htmlfrom dash.dependencies import Input, Outputimport pandas as pdimport plotly.graph_objects as go# Load external stylesheetsexternal_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']app = dash.Dash(__name__, external_stylesheets=external_stylesheets) ) ])該圖的初始渲染看起來不錯，因為這是運行后出現的python3 app.py：
2 回答
翻過高山走不出你
TA貢獻1875條經驗 獲得超3個贊
問題是下拉列表返回多個變量的列表（如您設置的那樣multi=True），而您的回調旨在僅繪制一個變量。
為了繪制多個變量，您需要遍歷選定的變量列表（即通過selectedVariable2您的代碼）并將相應的軌跡添加到圖中。
您還應該確保下拉列表是用列表而不是字符串初始化的（即您應該value="RECORD"用value=["RECORD"].
我在下面包括了一個例子。
import pandas as pd
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.graph_objects as go
# Load external stylesheets
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
# Create a sample 
ataset
df = pd.DataFrame({"TIMESTAMP": ["2019-09-30 11:15:00", "2019-09-30 11:30:00", "2019-09-30 11:45:00", "2019-09-30 12:00:00", "2019-09-30 12:15:00"],
"RECORD": [0, 1, 2, 3, 4],
"SensorRel_Min(2)": [12.68219, 12.68466, 12.69364, 12.69078, 12.6914],
"SensorRel_Min(3)": [14.74209, 13.73777, 10.74584, 9.74522, 16.74376]})
# Define dropdown options
opts = [{'label': k, 'value': k} for k in list(df.columns.values)[1:]]
# Create a Dash layout
app.layout = html.Div(children=[
html.H1(children='Testing dashboard v01'),
html.Div(children='''
Select variable to plot below.
'''),
html.Div(children='''
Select variables to add to plot below.
'''),
dcc.Dropdown(
id='multiVariableDropdown',
options=opts,
value=['RECORD'],
multi=True
),
dcc.Graph(
id='plot2'
)
])
# Add callback functions
## For plot 2
@app.callback(Output('plot2', 'figure'),
[Input('multiVariableDropdown', 'value')])
def update_graph(selectedVariable2):
traces = []
for var in selectedVariable2:
traces.append(go.Scatter(x=df['TIMESTAMP'],
y=df[var],
name=var))
fig2 = go.Figure(data=traces)
return fig2
if __name__ == '__main__':
app.run_server(debug=True)
楊__羊羊
TA貢獻1943條經驗 獲得超7個贊
嘗試使用print()對其進行調試。如下所示，這樣您就可以在每次從下拉列表中添加/刪除內容時看到發送到輸出組件的內容。希望能幫助到你！
def update_graph(selectedVariable2):
trace_finalPlot2 = go.Scatter(
x=df['TIMESTAMP'],
y=df[selectedVariable2],
name=str(selectedVariable2))
fig2 = go.Figure(data=trace_finalPlot2)
print(df[selectedVariable2])
return fig2
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