# Creating custom tick labels in a plot

I have been trying to create a contour plot. The data set comprises of 366 units in the X-axis and 216 units in the Y-axis. Hence the axes display values from 0 to 365 and 0 to 215 in the X and Y axes respectively.

1. I want to label the X-axis to display equally spaced names of 12 months. ie., Jan, Feb, β¦, Dec, and Y-axis to show only 3 points labelled -30, 0 and 30.

2. I want to create a line through the points of maxima.

How can I do these?

@navajyoth814 To place the ticklabels as you want, insert in the dict `xaxis` the following key-value pairs:

``````tickvals=[(2*k-1)*hx/2 for k in range(1,13)]
ticktext=['January', 'February', ...]
``````

where `hx=366/12.0` was defined before.

For `yaxis` set:

``````tickvals=[k*hy for k in range(3)]
ticktext=[-30, 0, 30]
``````

with `hy=266.0/2`.

1 Like

Thank you much for the reply. It helped!

What Iβve been able to chalk up so far has been added below for your reference.

But, I still have no idea how to proceed with the second problem of creating a line connecting points of maxima in the same contour plot.

@navajyoth814 Just add one more trace of type βscatterβ, mode=βlinesβ, that defines the line of interest: https://plot.ly/python/line-charts/

Again, not enough context in the answers.

@Soerendip

When you donβt want to display as tick labels the values of your data, then plotly provides a βtrickβ, namely to set
`xaxis_tickvals`, `xaxis_ticktext`. The former is the list of new values (positions) at which you want to display the corresponding strings/values in the list `xaxis_ticktext`.

In the above example we had:

``````tickvals = [(2*k-1)*hx/2 for k in range(1,13)]
ticktext= [datetime.date(2019, m, 1).strftime('%B') for m in range(1, 13)]
``````

where

``````tickvals = [15.25, 45.75, 76.25, 106.75, 137.25, 167.75, 198.25, 228.75, 259.25, 289.75, 320.25, 350.75]
ticktext = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December']
``````

For more context you can read plotly docs: https://plot.ly/python/reference/#layout-xaxis-tickvals .