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python - 如何使用 for 循环在 Dash + Python 中显示多个图表？

问题描述

我正在尝试使用循环打印图表。数据在列表中。这就是我的代码当前的样子（我在 for 循环中得到一个语法错误）：

import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.graph_objs as go

dfs = [pd.DataFrame({"xaxis":["thing","otherthing","anotherthing"],"yaxis":[64,14,62]}),pd.DataFrame({"xaxis":["newthing","newotherthing","newanotherthing"],"yaxis":[344,554,112]})]
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

g = 0

app.layout = html.Div(children=[
    for df in dfs:
        dcc.Graph(id='example-graph'+str(g),figure={'data': [go.Bar(x=df['xaxis'],y=df[("yaxis")],name="yaxis")]})
    ]
    g = g + 1)

if __name__ == '__main__':
    app.run_server(debug=True)

我希望它看起来像这样：

我该怎么做呢？

提前致谢。

编辑 08/03/19：我知道我可以在下面的两个图表中手动编码，但我希望将它放在一个循环中，因为将来我可能会在一页上显示超过 2 个图表。

import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.graph_objs as go

df1 = pd.DataFrame({"xaxis":["thing","otherthing","anotherthing"],"yaxis":[64,14,62]})
df2 = pd.DataFrame({"xaxis":["newthing","newotherthing","newanotherthing"],"yaxis":[344,554,112]})
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

g = 0
j = 1

app.layout = html.Div(children=[

    dcc.Graph(id='example-graph'+str(g),figure={'data': [go.Bar(x=df1['xaxis'],y=df1[("yaxis")],name="yaxis")]}),
    dcc.Graph(id='example-graph' + str(j), figure={'data': [go.Bar(x=df2['xaxis'], y=df2[("yaxis")], name="yaxis")]})
])

if __name__ == '__main__':
    app.run_server(debug=True)

第二次编辑 08/03/19：我的最终工作代码：

import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.graph_objs as go

dfs = [pd.DataFrame({"xaxis":["thing","otherthing","anotherthing"],"yaxis":[64,14,62]}),pd.DataFrame({"xaxis":["newthing","newotherthing","newanotherthing"],"yaxis":[344,554,112]})]
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

i = 0
output = []
#here you can define your logic on how many times you want to loop
for df in dfs:
     output.append(dcc.Graph(id='example-graph'+str(i),figure={'data': [go.Bar(x=df['xaxis'],y=df[("yaxis")],name="yaxis")]}))
     i = i + 1


app.layout = html.Div(children=output)

if __name__ == '__main__':
    app.run_server(debug=True)

标签： pythonplotly-dash

解决方案

该children属性基本上是一个列表，您可以先在通用循环中生成列表，然后将其添加到 Div 中。

这是工作片段，

import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.graph_objs as go

df1 = pd.DataFrame({"xaxis":["thing","otherthing","anotherthing"],"yaxis":[64,14,62]})
df2 = pd.DataFrame({"xaxis":["newthing","newotherthing","newanotherthing"],"yaxis":[344,554,112]})
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)


output = []
#here you can define your logic on how many times you want to loop
for i in range(0,2): 
     output.append(dcc.Graph(id='example-graph'+str(i),figure={'data': [go.Bar(x=df1['xaxis'],y=df1[("yaxis")],name="yaxis")]}))


app.layout = html.Div(children=output)

if __name__ == '__main__':
    app.run_server(debug=True)

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