[FIXED] Plotly subplots. Just only one sublot must have same scale ratio

Issue

There are 4 graphs in subplots, but only one should have the same scale on the x, y axes
Subplots:

fig = make_subplots(
            rows=3, cols=2, 
            shared_xaxes=True,
            specs=[[{'rowspan':3},{}],
                    [None,{}],
                    [None,{}],
                    ]
                    )
fig.append_trace(
                 {'x':time,
                  'y':x,
                  'mode':'lines+markers',
                  'type':'scatter'
                  }, 1,2
                  )
fig.append_trace(
                 {'x':time,
                  'y': y,
                  'mode':'lines+markers',
                  'type':'scatter'
                  },2,2
                  )
fig.append_trace(
                 {'x':time,
                  'y': t,
                  'mode':'lines+markers',
                  'type':'scatter'
                  },3,2
                  )
fig.append_trace(
                 {'x':x,
                  'y':y,
                  'mode':'markers',
                  'type':'scatter',
                    }, 1,1          # Only in this subplot I need same scale ratio  
                )
fig.update_layout(height=700,
template="plotly_white",
margin=dict(
    t=10,
    b=0
    ))      

I need only one subplot with position (1,1) has the same scale ratio. How can I do this? Thanks!!!

Solution

I use subplots to place each of them and match the number of ticks on the x-axis on the left side with the number of ticks on the y-axis on the left side. By specifying the overall graph size for the left side, I keep the left side area the same.

from plotly.subplots import make_subplots

fig = make_subplots(rows=3, cols=2,
                    shared_xaxes=True,
                    column_widths=[0.5,0.5],
                    specs=[[{'rowspan':3},{}],
                           [None,{}],
                           [None,{}],
                          ],
                    vertical_spacing=0.01   
                    )

fig.add_trace(go.Scatter(x=df['time'],
                  y=df['x'],
                  mode='lines+markers',
                  type='scatter'
                        ), 1,2
                  )

fig.add_trace(go.Scatter(x=df['time'],
                  y=df['y'],
                  mode='lines+markers',
                  type='scatter'
                        ),2,2
                  )

fig.add_trace(go.Scatter(x=df['time'],
                  y=df['t'],
                  mode='lines+markers',
                  type='scatter'
                        ),3,2
                  )#.update_xaxes(tickangle=45)

fig.add_trace(go.Scatter(x=df['x'],
                  y=df['y'],
                  mode='markers',
                  type='scatter',
                        ), 1,1    
                )

fig.update_layout(
    height=700,
    template="plotly_white",
    margin=dict(t=10,b=0),
)

fig.update_xaxes(tickangle=-45)
#fig.layout['xaxis']['tickangle'] = 0
fig.layout['xaxis'].update(tickvals=np.linspace(df['x'].min(), df['x'].max(),9))

fig.update_layout(autosize=False, width=1000, height=450)
fig.show()

Answered By - r-beginners