Setting the axes tick values of a seaborn jointplot

Question

I'm trying to make the x and y axes (including axes tick values) of my jointplot to start and end with specific values and to be scaled in set increments.

import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt

g = sns.jointplot(x="LONGITUDE", y="LATITUDE", data=data,
                      kind='reg', color="#774499", dropna=True, size=7, space=0.3, ratio=5,
                      xlim=(-180,180), ylim=(-90,90), fit_reg=False);
plt.rc("legend", fontsize=15)
plt.xlabel('Longitude', fontsize=15)
plt.ylabel('Latitude', fontsize=15)
plt.title('Spatial Location Plot', fontsize=15 )
plt.tick_params(axis="both", labelsize=15)

Notice that the lower and upper edges of both axes do not have any tick values. I want the tick values to start and end at the axes edges using exactly the values I specified in xlim() and ylim().

My preferred increments are 90 and 45 degrees for the X and Y axes respectively. So, I want the X axis to look this: -180, -90, 0, 90, 180. And the Y axis to be: -90, -45, 0, 45, 90. Thanks for your suggestions.

Answer 1

You can use matplotlib.ticker to set the major_locator on the axes. The JointGrid returned by jointplot (g) has a ax_joint attribute, which we can use to set the ticks. To set ticks every multiple of a number, we can use a MultipleLocator:

import matplotlib.ticker as ticker
g.ax_joint.xaxis.set_major_locator(ticker.MultipleLocator(90))
g.ax_joint.yaxis.set_major_locator(ticker.MultipleLocator(45))