The XAxis.set_tick_params() function in axis module of matplotlib library is used to set appearance parameters for ticks, ticklabels, and gridlines.
Syntax: XAxis.set_tick_params(self, which=’major’, reset=False, **kw)
Parameters: This method accepts the following parameters.
- which: This parameter is the used to which axis to apply the parameters to.
Return value: This method does not returns any value.
Below examples illustrate the matplotlib.axis.XAxis.set_tick_params() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function import matplotlib.pyplot as plt
import numpy as np
t = np.arange( 0.1 , 3.0 , 0.04 )
fig, ax1 = plt.subplots()
ax1.plot(t, np.sin( 4 * np.pi * t))
ax1.grid( True )
ax1.set_ylim(( - 3 , 3 ))
ax1.xaxis.set_tick_params(labelcolor = 'r' )
ax1.yaxis.set_tick_params(labelcolor = 'g' )
plt.title( 'matplotlib.axis.XAxis.set_tick_params() function Example' ,
fontweight = "bold" )
plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function import matplotlib.pyplot as plt
from matplotlib.dates import (YEARLY,
DateFormatter,
rrulewrapper,
RRuleLocator,
drange)
import numpy as np
import datetime
np.random.seed( 19680801 )
Val1 = rrulewrapper(YEARLY, byeaster = 1 , interval = 5 )
Val2 = RRuleLocator(Val1)
formatter = DateFormatter( '%y/%m/%d' )
date1 = datetime.date( 2002 , 2 , 3 )
date2 = datetime.date( 2010 , 5 , 14 )
delta = datetime.timedelta(days = 10 )
dates = drange(date1, date2, delta)
s = np.random.rand( len (dates))
fig, ax = plt.subplots()
plt.plot_date(dates, s, 'go' )
ax.xaxis.set_major_locator(Val2) ax.xaxis.set_major_formatter(formatter) ax.xaxis.set_tick_params(rotation = 25 ,
labelsize = 10 ,
labelcolor = "g" )
ax.yaxis.set_tick_params(rotation = 25 ,
labelsize = 12 ,
labelcolor = "r" )
plt.title('matplotlib.axis.XAxis.set_tick_params()\n\ function Example', fontweight = "bold" )
plt.show() |
Output: