How to use xlim() In Python
Using this locate_params() function, no matter how many bins we mention, we will always show the whole plot regardless of the number. Still, if we want only the first three values of the x-axis to visualize, you can use this xlim() and ylim() function to set a limit for the x-axis and y-axis of the plot and then use the locate param to reduce the number of ticks.
Note: If you forget to use the locate_param after this function will not reduce the number of ticks it will still show all the unwanted ticks on your plot. So, make sure you use locate_params() function after this function
Syntax:
matplotlib.pyplot.xlim(*args, **kwargs)
Now, we are going to try and reduce the number of ticks on the x-axis and try to visualize only the first three values of the plot.
Example:
Like the previous example, we are using locate_params() to limit the number of ticks, but before that, we will restrict the number of ticks we have to visualize from the start to end as a tuple.
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) plt.title("PLOT") # Setting the x and y labels plt.xlabel("X-Axis") plt.ylabel("Y-Axis") # Setting the number of ticks plt.xlim(0, 3) plt.locator_params(axis='x', nbins=3) # 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.
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