Logarifmic axis minor tick lables removing

📊 Plotly Python
1

Hi!
Is it possible to make the correct log Plot like

Screen Shot 2018-04-28 at 17.25.00
Screen Shot 2018-04-28 at 17.25.00772×808 54.2 KB

I want to remove minor ticks labels on the y-axis. My plot is

newplot (2)
newplot (2)700×450 3.35 KB

My code

fig = px.bar(ICP, x = 'Name', y = 'au', title='ICP Gold, %')
fig.update_yaxes(type="log")
fig.update_layout(
    template="plotly_white",
    #title="Us influence on CO conversion",
    xaxis_title= "Type",
    yaxis_title="log, [%]",
    font=dict(
        family="Courier New, monospace",
        size=14,
        color="black"
    )
)
fig.show()

There are some same questions in this community page but there are no answers: example

2

Hi @Ilia, plotly displays a ticks label for every tick line, but you can override this by passing directly the tick labels. Below is an example of how to do this (for the x axis), please also see https://plot.ly/python/axes/#enumerated-ticks-with-tickvals-and-ticktext

import numpy as np
import plotly.express as px
x = np.linspace(0, 1, 200)
fig = px.scatter(x=x, y=x**3)
tickvals = np.concatenate((np.arange(0.004, 0.01, 0.001),
                           np.arange(0.01, 0.1, 0.01),
                           np.arange(0.1, 1.1, 0.1)))
ticktext = [str(val) if val in [0.01, 0.1, 1] else '' for val in tickvals]
fig.update_xaxes(type="log", tickvals=tickvals, ticktext=ticktext)
fig.update_yaxes(type="log")
fig.show()

image
image842×590 16 KB

1 Like
3

Dear, @Emmanuelle. After using your solution got Y title “bug”

ISP
ISP2000×1200 82.4 KB

my code

fig = go.Figure(data=[go.Bar(x = ICP['Name'], y = ICP['au'],
                                text=round(ICP['au'], 3),
                                textposition='auto')])
fig.update_yaxes(type="log", showgrid=True, dtick=1)
#your method
tickvals = np.concatenate((np.arange(0.004, 0.01, 0.001),
                           np.arange(0.01, 0.1, 0.01),
                           np.arange(0.1, 1.1, 0.1),
                           np.arange(1, 10.1, 1)))
ticktext = [str(val) if val in [0.01, 0.1, 1, 10] else '' for val in tickvals]
fig.update_yaxes(type="log", tickvals=tickvals, ticktext=ticktext, showgrid=True)


fig.update_layout(
    template="simple_white",
    #title="Us influence on CO conversion",
    xaxis_title= "Type",
    yaxis_title="log, [%]",
    font=dict(
        size=14,
        color="black")
)
fig.write_image("images/ISP.png", width=1000, height=600, scale=2)

fig.show()

Do you have any ideas about how to fix it?

4

Hoping to use plotly js for scientific graphs, and it would be fantastic if one were able to generate plots exactly like the one shown by Ilia (Screen Shot 2018-04-28 at 17.25.00 · 772×808). I have searched extensively without finding a way to do this, so I assume this is not possible at the moment?

Also brilliant would be a way to switch off the minor and major grid lines independently of each other and independently of the minor and major tick marks and labels. I notice currently, in a log scale axis, the tick marks are spaced evenly and not logarithmically (at least that’s the best I was able to get), so logarithmic tick spacing would be great as well. If I have missed anything and these capabilities already exist, then apologies, and I would be grateful for a link to a resource describing how to achieve such plots.

1 Like