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 …

Mar 20, 2017 · Matplotlib bad ticks/labels for loglog (twin axis) 0. Add custom logarithmic tick location to matplotlib. 1.

Mar 25, 2018 · In this case however it seems your requirement is different. While the linked question asks for leaving the ticks unchanged, here you want to set the ticks manually …

Note that you can get uneven ticks if you wish, e.g. myticks = [1, 3, 8]. Then you can use. plt.gca().set_xticks(myticks) # set new X axis ticks or if you want to replace labels as well. …

class matplotlib.ticker.StrMethodFormatter(fmt) Use a new-style format string (as used by str.format()) to format the tick. The field used for the value must be labeled x and the field used …

Jun 17, 2011 · In a matplotlib figure, how can I make the font size for the tick labels using ax1.set_xticklabels() smaller? Further, how can one rotate it from horizontal to vertical?

Jan 1, 2017 · Consider this simple example import pandas as pd import numpy as np import matplotlib.pyplot as plt from matplotlib.ticker import FuncFormatter import matplotlib.dates as …

The ticks that are missing have had their visible property set to False. This is pointed out in the documentation for plt.subplot. The simplest way to fix this is probably to do: for ax in …

Oct 3, 2012 · Alternatively, we can get minor ticks at default locations using AutoMinorLocator: import matplotlib.pyplot as plt import matplotlib.ticker as tck fig, ax = plt.subplots() plt.plot([1,2]) …

The following solution by simply casting the index i to string worked for me:. import matplotlib.pyplot as plt import time datay = [1,6,8,4] # Just an example datax = [] # In the …