How to use locator_param() In Python
Locator_params() function that lets us change the tightness and number of ticks in the plots. This is made for customizing the subplots in matplotlib, where we need the ticks packed a little tighter and limited. So, we can use this function to control the number of ticks on the plots.
syntax: matplotlib.pyplot.locator_params(axis=’both’, tight=None, nbins=None **kwargs)
Parameter:
- axis – The axis we need to change the number of ticks or tighten them.
- tight – Takes in a bool value weather the ticks should be tightened or not
- nbins – number of ticks we should have in the axis.
Now, we are going to limit the number of ticks on both axes by 4
Example:
In this example, we are implementing the same steps to make a plot, and we want only four ticks on both sides. We can call the locate_params() function and mention the axis, which is both x and y-axis, and pass in a parameter called nbins to mention the number of ticks we want on each axis.
Python3
# Setting x and y values for the plot x = [1, 2, 3, 4] y = [7, 13, 24, 22] # Initiating the plot plt.plot(x, y, color='Red') plt.title("PLOT") # Setting the x and y labels plt.xlabel("X-Axis") plt.ylabel("Y-Axis") # Setting the number of ticks plt.locator_params(axis='both', nbins=4) # Showing the plot plt.show() |
Output:
How to Change the Number of Ticks in Matplotlib?
In this article, we will see how to change the number of ticks on the plots in matplotlib in Python.