Changing The "tick Frequency" On X Or Y Axis In Matplotlib?
Answer : You could explicitly set where you want to tick marks with plt.xticks : plt.xticks(np.arange(min(x), max(x)+1, 1.0)) For example, import numpy as np import matplotlib.pyplot as plt x = [0,5,9,10,15] y = [0,1,2,3,4] plt.plot(x,y) plt.xticks(np.arange(min(x), max(x)+1, 1.0)) plt.show() ( np.arange was used rather than Python's range function just in case min(x) and max(x) are floats instead of ints.) The plt.plot (or ax.plot ) function will automatically set default x and y limits. If you wish to keep those limits, and just change the stepsize of the tick marks, then you could use ax.get_xlim() to discover what limits Matplotlib has already set. start, end = ax.get_xlim() ax.xaxis.set_ticks(np.arange(start, end, stepsize)) The default tick formatter should do a decent job rounding the tick values to a sensible number of significant digits. However, if you wish to have more control over the format, you can define your own formatter. For example...