Python and Plotly offline: create a (empty) plot and add traces with a for-loop

I am new to programming and I spent a lot of time looking for a solution, but I don't seem to get it. I have several sets of measurement data stored in a dictionary. I want to create a graph with graphically showing all the curves from the measured data. I am trying to create an empty graph and then iterate through a dictionary and add two columns from two stored dataFrames as traces to the graph for each key.

What am I doing wrong or how can I do it differently?

import plotly as py
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import plotly.graph_objs as go    

figure1 = go.Figure()

for key in dictofdf:
 trace1 = go.Scatter(
                      y=df_1['force'], 
                      x=df_1['displacement'], 
                      mode='line',
                      marker=go.Marker(color='rgb(255, 127, 14)'),
                      name='load'
                      )

    trace2 = go.Scatter(
                      y=df_2['force'], 
                      x=df_2['displacement'], 
                      mode='line',
                      marker=go.Marker(color='rgb(55, 137, 3)'),
                      name='unload'
                      )

    figure1.append_trace(trace1,1,1)
    figure1.append_trace(trace2,1,1)

py.offline.iplot(figure1, filename='force-displacement-data', image='jpeg')

      

With the code that I have so far, I am getting the error

--------------------------------------------------------------------------- TypeError                                 Traceback (most recent call
 last) <ipython-input-42-4ea5d9b8a638> in <module>()
      50                       )
      51 
 ---> 52     figure1.append_trace(trace1,1,1)
      53     figure1.append_trace(trace2,1,1)
      54 

 C:\Users\xxxxx\Anaconda3\lib\site-packages\plotly\graph_objs\graph_objs.py
 in append_trace(self, trace, row, col)
     914                             "Note: the starting cell is (1, 1)")
     915         try:
 --> 916             ref = grid_ref[row-1][col-1]
     917         except IndexError:
     918             raise Exception("The (row, col) pair sent is out of range. "

 TypeError: 'NoneType' object is not subscriptable

      

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1 answer


  • append_trace

    in Plotly works for subplots , but not for regular Figure

    s.
  • You iterate over the keys of the dictionary, but you never use one of the keys, you draw the same values ​​for each key. The example below is key

    used for name

    footprints.

enter image description here



import plotly
plotly.offline.init_notebook_mode()

figure1 = plotly.tools.make_subplots(rows=1, cols=2)

dictofdf = {'measurement1': {'df_1': {'displacement': [1, 2, 3], 
                                      'force': [1, 3, 6]}, 
                             'df_2': {'displacement': [1, 3, 6], 
                                      'force': [5, 7, 9]}
                            }, 
            'measurement2': {'df_1': {'displacement': [1, 4, 5], 
                                      'force': [8, 10 , 12]}, 
                             'df_2': {'displacement': [1, 4, 6], 
                                      'force': [7, 8, 9]}
                            }
           }
for key in dictofdf:
    trace1 = plotly.graph_objs.Scatter(
                      y=dictofdf[key]['df_1']['force'], 
                      x=dictofdf[key]['df_1']['displacement'], 
                      mode='line',
                      marker=plotly.graph_objs.Marker(color='rgb(255, 127, 14)'),
                      name='{}: load'.format(key)
                      )

    trace2 = plotly.graph_objs.Scatter(
                      y=dictofdf[key]['df_2']['force'], 
                      x=dictofdf[key]['df_2']['displacement'], 
                      mode='line',
                      marker=plotly.graph_objs.Marker(color='rgb(55, 137, 3)'),
                      name='{}: unload'.format(key)
                      )

    figure1.append_trace(trace1, 1, 1)
    figure1.append_trace(trace2, 1, 2)
plotly.offline.iplot(figure1)

      

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