Python TypeError:update_graph（）缺少1个必需的位置参数：'；日期值'；

我有一个简单的数据库，如下图所示：

查询如下所示：

SELECT 
       [Date]
      ,[eNodeBName]
      ,[Downlinkbandwidth]
      ,[DownlinkEARFCN]
      ,[CellName]
      ,[LocalCellId]
      ,[PhysicalcellID]
      ,[LRRCConnReqAtt]
      ,[RRCSetupSuccessRate]
      ,[InterFreqSuccessRate4G]
      ,[IntraRATHOSucccessRate]
      ,[IntraFreqSuccessRate4G]
      ,[CellDLMaxThroughputMbps]
      ,[CellDownlinkAverageThroughputMbps]
  FROM [myDB].[dbo].[input]

现在，我需要创建一个交互式图表，它依赖于诸如日期选择器和下拉列表之类的输入

因为这是我为figure chart创建的示例GUI，所以抛出这些输入，如下图所示：

现在，我根据下图中的列名称创建图表：

因为这是如下所示的相关查询：

SELECT 
       [Date]
      ,[CellName]
      ,[LRRCConnReqAtt]
      ,[RRCSetupSuccessRate]
      ,[InterFreqSuccessRate4G]
      ,[IntraRATHOSucccessRate]
      ,[IntraFreqSuccessRate4G]
      ,[CellDLMaxThroughputMbps]
      ,[CellDownlinkAverageThroughputMbps]
  FROM [myDB].[dbo].[input]

因此，现在X轴应该是

Date

列，与以下列相关的y轴是

KPI

列：

SELECT 
       [LRRCConnReqAtt]
      ,[RRCSetupSuccessRate]
      ,[InterFreqSuccessRate4G]
      ,[IntraRATHOSucccessRate]
      ,[IntraFreqSuccessRate4G]
      ,[CellDLMaxThroughputMbps]
      ,[CellDownlinkAverageThroughputMbps]
  FROM [myDB].[dbo].[input]

现在我们有了一个包含唯一值的唯一列，称为

CellName

，这个单元格名我想基于日期列n和KPI列为这个唯一值创建一个简单的图表

例如，我想根据12月27日至1月9日的数据，为KPI

LRRCCONNRECATT

的某个

CellName

=2002334显示一个折线图。因此，我需要一个图表，如下图所示，这是一个在Excel中创建的示例图表

这是我的代码：

import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
from sqlalchemy import create_engine
import datetime
from datetime import datetime as dt
from dash.dependencies import Input, Output

# connect db
engine = create_engine('mssql+pyodbc://WWX542337CDCD\SMARTRNO_EXPRESS/myDB?driver=SQL+Server+Native+Client+11.0')
cursor = engine.raw_connection().cursor()

start = datetime.datetime(2019, 12, 2)
end = datetime.datetime(2019, 12, 15)

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

lte_kpis = pd.read_sql('SELECT * FROM [myDB].[dbo].[input]',
                       engine)

lte_kpis_raw = pd.read_sql('SELECT LRRCConnReqAtt, RRCSetupSuccessRate, InterFreqSuccessRate4G, IntraRATHOSucccessRate, IntraFreqSuccessRate4G,CellDLMaxThroughputMbps, CellDownlinkAverageThroughputMbps FROM [myDB].[dbo].[input]',
                           engine)

scale_1 = ['LRRCConnReqAtt']
scale_2 = ['RRCSetupSuccessRate', 'InterFreqSuccessRate4G', 'IntraRATHOSucccessRate', 'IntraFreqSuccessRate4G']
scale_3 = ['CellDLMaxThroughputMbps', 'CellDownlinkAverageThroughputMbps']

pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)

availble_cell = lte_kpis['CellName'].unique()

# availble_cell = lte_kpis.unique(lte_kpis[['Date', 'Site Name', 'Cell CI', 'Cell LAC']].values.ravel('K'))

app.layout = html.Div([
    dcc.Dropdown(
        id='cell-name-xaxis-column',
        options=[{'label': i, 'value': i} for i in availble_cell],
        value='2205516'
    ),

    dcc.Dropdown(
        id='myColumns',
        options=[{'label': col, 'value': col} for col in lte_kpis_raw.columns],
        multi=True,
        value='LRRCConnReqAtt'
    ),

    dcc.DatePickerRange(
        id='my-date-picker-range',
        min_date_allowed=dt(1995, 8, 5),
        max_date_allowed=dt(2030, 9, 19),
        initial_visible_month=dt(2019, 10, 5),
        start_date=dt(2019, 10, 1),
        end_date=dt(2020, 1, 1)
    ),
    html.Div(id='output-container-date-picker-range'),

    dcc.Graph(
        style={'height': 300},
        id='my-graph'
    )

])


@app.callback(
    Output('my-graph', 'figure'),
    [Input('cell-name-xaxis-column', 'value'),
     Input('myColumns', 'value')])
def update_graph(xaxis_column_name, yaxis_column_name, date_value):
    dff = lte_kpis[lte_kpis['Date'] == date_value]

    return {
        'data': [dict(
            x=dff[dff['Date'] == xaxis_column_name]['Value'],
            y=dff[dff['Date'] == yaxis_column_name]['Value'],
            text=dff[dff['Date'] == yaxis_column_name]['CellName'],
            mode='line',
            line={
                'size': 15,
                'opacity': 0.5
            }
        )],
    }


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

请注意，我想将多个KPI放在一个具有不同绘图的图表中

由于这些KPI中的比例值略有不同，因此我尝试创建一个三种类型的对象，其列名称为scale values，如下代码所示

scale_1 = ['LRRCConnReqAtt']
scale_2 = ['RRCSetupSuccessRate', 'InterFreqSuccessRate4G', 'IntraRATHOSucccessRate', 'IntraFreqSuccessRate4G']
scale_3 = ['CellDLMaxThroughputMbps', 'CellDownlinkAverageThroughputMbps']

这就是我发现的错误：

TypeError: update_graph() missing 1 required positional argument: 'date_value'

Traceback (most recent call last)
File "C:\Users\mwx825326\PycharmProjects\MyReference\venv\Lib\site-packages\dash\dash.py", line 1337, in add_context

        def wrap_func(func):
            @wraps(func)
            def add_context(*args, **kwargs):
                # don't touch the comment on the next line - used by debugger
                output_value = func(*args, **kwargs)  # %% callback invoked %%
                if multi:
                    if not isinstance(output_value, (list, tuple)):
                        raise exceptions.InvalidCallbackReturnValue(
                            "The callback {} is a multi-output.\n"
                            "Expected the output type to be a list"
TypeError: update_graph() missing 1 required positional argument: 'date_value'
Traceback (most recent call last):
  File "C:\Users\mwx825326\PycharmProjects\MyReference\venv\Lib\site-packages\dash\dash.py", line 1337, in add_context
    output_value = func(*args, **kwargs)  # %% callback invoked %%
TypeError: update_graph() missing 1 required positional argument: 'date_value'

编辑：

我尝试使用另一种方式

@Callback

，但我发现一个与以下错误相关的

KeyError

KeyError: '2205516'

Traceback (most recent call last)
File "C:\Users\mwx825326\PycharmProjects\MyReference\venv\Lib\site-packages\pandas\core\indexes\base.py", line 2897, in get_loc
return self._engine.get_loc(key)
File "pandas/_libs/index.pyx", line 107, in pandas._libs.index.IndexEngine.get_loc

File "pandas/_libs/index.pyx", line 131, in pandas._libs.index.IndexEngine.get_loc

File "pandas/_libs/hashtable_class_helper.pxi", line 1607, in pandas._libs.hashtable.PyObjectHashTable.get_item

File "pandas/_libs/hashtable_class_helper.pxi", line 1614, in pandas._libs.hashtable.PyObjectHashTable.get_item

During handling of the above exception, another exception occurred:
File "pandas/_libs/hashtable_class_helper.pxi", line 1614, in pandas._libs.hashtable.PyObjectHashTable.get_item

KeyError: '2205516'
Traceback (most recent call last):
  File "C:\Users\mwx825326\PycharmProjects\MyReference\venv\Lib\site-packages\pandas\core\indexes\base.py", line 2897, in get_loc
    return self._engine.get_loc(key)
  File "pandas/_libs/index.pyx", line 107, in pandas._libs.index.IndexEngine.get_loc

  File "pandas/_libs/index.pyx", line 131, in pandas._libs.index.IndexEngine.get_loc

  File "pandas/_libs/hashtable_class_helper.pxi", line 1607, in pandas._libs.hashtable.PyObjectHashTable.get_item

  File "pandas/_libs/hashtable_class_helper.pxi", line 1614, in pandas._libs.hashtable.PyObjectHashTable.get_item

KeyError: '2205516'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "pandas/_libs/hashtable_class_helper.pxi", line 1614, in pandas._libs.hashtable.PyObjectHashTable.get_item

KeyError: '2205516'

这是新的回电

@app.callback(
    Output(component_id='my-graph', component_property='figure'),
    [Input(component_id='cell-name-xaxis-column', component_property='value'),
     Input(component_id='myColumns', component_property='value')])
def update_graph(xaxis_column_name_value, myColumns_value):
    from pandas.conftest import cls
    figure = {
        'data' : [
            go.Scatter(
                x = lte_kpis[lte_kpis['CellName'] == cls][xaxis_column_name_value],
                y = lte_kpis[lte_kpis['CellName'] == cls][myColumns_value],
                mode = 'line',
                line = {'size' : 15},
                name = cls
            )for cls in lte_kpis['CellName'].unique()
        ],
        'layout':
            go.layout(
                height = 350,
                hovermode = 'closest',
                title = go.layout.Title(text = 'Dash InterActive Data Visualization', xref = 'paper', x = 0)
            )
    }
    return figure

感谢您的帮助