How to increase the space between yticklabel of subplot and main yticklabel in plotly?

Question

I am learning plotly and trying to customize a subplot. I need to do following things:

Make only sub yticklabels colorful not yticks.
- For example, make "Success" green but yticks "0.40% and 0.20%" as it is.
Increase space between subplot ylabel and main ylabel.
- For example, make main ylabel Error Rate (%) outside of subplot ylabel Status Quo.

The plot

Code

import numpy as np
import pandas as pd


from plotly.subplots import make_subplots
import plotly.graph_objects as go

df = pd.DataFrame({'Month': ['2020-01-01', '2020-02-01', '2020-03-01', '2020-04-01', '2020-05-01', '2020-06-01'],
          'Site A': [0.0006171, 0.0007480000000000001, 0.00041139999999999997, 0.0005422999999999999, 9.35e-05, 0.0011407],
          'Site B': [0.0003927000000000001, 0.0026, 0.0008041000000000001, 0.0005797, 0.0008789000000000001, 0.0004301000000000001],
          'Site C': [0.0075548, 0.0045815000000000005, 0.0033473, 0.0016455999999999999, 0.0023375, 0.00229],
          'Site D': [0.0007854000000000001, 0.0003927000000000001, 0.0013277, 0.0005235999999999999, 0.0008227999999999999, 0.0016082000000000002],
          'Site E': [0.0, 0.0007480000000000001, 0.0, 0.0015520999999999998, 0.0005984000000000001, 0.00014],
          'Site F': [0.0, 0.0007292999999999999, 0.0, 0.0002431, 0.0, 0.0],
          'Site G': [0.0006919000000000001, 0.0008976000000000001, 0.0005422999999999999, 0.0007667, 0.0008414999999999999, 0.0008],
          'Site H': [0.00257, 0.00324, 0.00512, 0.00197, 0.0009199999999999999, 0.0004301000000000001],
          'Site I': [0.0013277, 0.0, 0.0, 0.0, 0.0, 0.0013277]})


df['Month'] = pd.to_datetime(df['Month'])
df = df.set_index('Month')


fig = make_subplots(rows=3,cols=3,
                    start_cell='top-left',
                    column_widths = [1200]*3,
                    x_title = 'Month',
                    y_title = 'Error Rate (%)',
                    subplot_titles=("Site H", "Site E", "Site B",
                                    "Site C", "Site G", "Site F",
                                    "Site D", "Site I", "Site A",
                                    )
                   )

fig.add_scatter(x=df.index, y=df['Site H'],  row=1, col=1, showlegend=False, line=dict(color='darkgreen'),  mode='lines+markers', name='Site H')
fig.add_scatter(x=df.index, y=df['Site E'],  row=1, col=2, showlegend=False, line=dict(color='limegreen'))
fig.add_scatter(x=df.index, y=df['Site B'],  row=1, col=3, showlegend=False, line=dict(color='lightgreen'))

fig.add_scatter(x=df.index, y=df['Site C'],  row=2, col=1, showlegend=False, line=dict(color='black'))
fig.add_scatter(x=df.index, y=df['Site G'],  row=2, col=2, showlegend=False, line=dict(color='gray'))
fig.add_scatter(x=df.index, y=df['Site F'],  row=2, col=3, showlegend=False, line=dict(color='silver'))

fig.add_scatter(x=df.index, y=df['Site D'],  row=3, col=1, showlegend=False, line=dict(color='darkred'))
fig.add_scatter(x=df.index, y=df['Site I'],  row=3, col=2, showlegend=False, line=dict(color='tomato'))
fig.add_scatter(x=df.index, y=df['Site A'],  row=3, col=3, showlegend=False, line=dict(color='lightsalmon'))

fig.update_xaxes(tickangle=90, tickformat="%b")
fig.update_yaxes(tickformat=".2%")

fig.update_yaxes(row=1, col=1, title='Success',    color='darkgreen' )
fig.update_yaxes(row=2, col=1, title='Status Quo', color='black')
fig.update_yaxes(row=3, col=1, title=dict(text='Watch', standoff=10),      color='darkred')

fig.update_layout(
    title='2020 Monthy Error Rate by Site',
    title_x=0.5,
    autosize=False,
    width=800,
    height=800,
    margin=dict(
        l=80,
        r=30,
        b=80,
        t=80,
        pad=0
    ),
    paper_bgcolor="LightSteelBlue",
)


fig.show()

vestland · Accepted Answer

1. Y-axis title color

In order to set y-axis title color, change

fig.update_yaxes(row=1, col=1, title = dict(text = 'Success', color='darkgreen'))

to this:

fig.update_yaxes(row=1, col=1, title='Success')
fig.update_yaxes(row=1, col=1, title_font_color="darkgreen")

Your original appraoch sets the color of all text attributes associated with that particular subplot to "darkgreen". The suggested approach only changes the color of the axis title and leaves the rest unchanged.

2. Increase space between main y-tick label and subplot y-tick label.

It seems that the best approach would be to cut out the definition of y_title in make_subplots since that particular attribute seems to be a bit rigid. And then rather make a little more room to the left of the subplots using margin=dict(l=120...) and include an annotation using fig.add_annotation at the appropriate positoin. If you would in fact like to display 'Erro Rate %' outside 'Status Quo' you can use:

fig.add_annotation(dict(font=dict(color="black",size=14),
                            x=-0.16,
                            y=0.5,
                            showarrow=False,
                            text='Error Rate (%)',
                            textangle=-90,
                            xref="paper",
                            yref="paper"
                           )
                  )

Plot

Complete code

import numpy as np
import pandas as pd


from plotly.subplots import make_subplots
import plotly.graph_objects as go

df = pd.DataFrame({'Month': ['2020-01-01', '2020-02-01', '2020-03-01', '2020-04-01', '2020-05-01', '2020-06-01'],
          'Site A': [0.0006171, 0.0007480000000000001, 0.00041139999999999997, 0.0005422999999999999, 9.35e-05, 0.0011407],
          'Site B': [0.0003927000000000001, 0.0026, 0.0008041000000000001, 0.0005797, 0.0008789000000000001, 0.0004301000000000001],
          'Site C': [0.0075548, 0.0045815000000000005, 0.0033473, 0.0016455999999999999, 0.0023375, 0.00229],
          'Site D': [0.0007854000000000001, 0.0003927000000000001, 0.0013277, 0.0005235999999999999, 0.0008227999999999999, 0.0016082000000000002],
          'Site E': [0.0, 0.0007480000000000001, 0.0, 0.0015520999999999998, 0.0005984000000000001, 0.00014],
          'Site F': [0.0, 0.0007292999999999999, 0.0, 0.0002431, 0.0, 0.0],
          'Site G': [0.0006919000000000001, 0.0008976000000000001, 0.0005422999999999999, 0.0007667, 0.0008414999999999999, 0.0008],
          'Site H': [0.00257, 0.00324, 0.00512, 0.00197, 0.0009199999999999999, 0.0004301000000000001],
          'Site I': [0.0013277, 0.0, 0.0, 0.0, 0.0, 0.0013277]})


df['Month'] = pd.to_datetime(df['Month'])
df = df.set_index('Month')


fig = make_subplots(rows=3,cols=3,
                    start_cell='top-left',
                    column_widths = [1200]*3,
                    x_title = 'Month',
                    #y_title = 'Error Rate (%)',
                    subplot_titles=("Site H", "Site E", "Site B",
                                    "Site C", "Site G", "Site F",
                                    "Site D", "Site I", "Site A",
                                    )
                   )

fig.add_scatter(x=df.index, y=df['Site H'],  row=1, col=1, showlegend=False, line=dict(color='darkgreen'),  mode='lines+markers', name='Site H')
fig.add_scatter(x=df.index, y=df['Site E'],  row=1, col=2, showlegend=False, line=dict(color='limegreen'))
fig.add_scatter(x=df.index, y=df['Site B'],  row=1, col=3, showlegend=False, line=dict(color='lightgreen'))

fig.add_scatter(x=df.index, y=df['Site C'],  row=2, col=1, showlegend=False, line=dict(color='black'))
fig.add_scatter(x=df.index, y=df['Site G'],  row=2, col=2, showlegend=False, line=dict(color='gray'))
fig.add_scatter(x=df.index, y=df['Site F'],  row=2, col=3, showlegend=False, line=dict(color='silver'))

fig.add_scatter(x=df.index, y=df['Site D'],  row=3, col=1, showlegend=False, line=dict(color='darkred'))
fig.add_scatter(x=df.index, y=df['Site I'],  row=3, col=2, showlegend=False, line=dict(color='tomato'))
fig.add_scatter(x=df.index, y=df['Site A'],  row=3, col=3, showlegend=False, line=dict(color='lightsalmon'))

fig.update_xaxes(tickangle=90, tickformat="%b")
fig.update_yaxes(tickformat=".2%")

fig.update_yaxes(row=1, col=1, title='Success')
fig.update_yaxes(row=1, col=1, title_font_color="darkgreen", autorange = True)
##fig.update_yaxes(row=1, col=1, title = dict(text = 'Success', color='darkgreen'))

fig.update_yaxes(row=2, col=1, title=dict(text='Status Quo',standoff=10), color='black', autorange = True)
fig.update_yaxes(row=3, col=1, title=dict(text='Watch', standoff=10), color='darkred', autorange = True)

fig.update_layout(
    title='2020 Monthy Error Rate by Site',
    title_x=0.5,
    autosize=False,
    width=800,
    height=800,
    margin=dict(
        l=120,
        r=30,
        b=80,
        t=80,
        pad=0
    ),
    paper_bgcolor="LightSteelBlue",
)

fig.add_annotation(dict(font=dict(color="black",size=14),
                            x=-0.16,
                            y=0.5,
                            showarrow=False,
                            text='Error Rate (%)',
                            textangle=-90,
                            xref="paper",
                            yref="paper"
                           )
                  )


fig.show()