Plt.xticks

# Show x axes with intervals of X instead of default (this case default=5)
import numpy as np
import matplotlib.pyplot as plt

x = [0,5,9,10,15]
y = [0,1,2,3,4]
X = 1.0
plt.plot(x,y)
plt.xticks(np.arange(min(x), max(x)+1, X))
plt.show()

Source: stackoverflow.com

Xticks and yticks matplotlib

#x-ticks: 
plt.xticks(start, stop, step))
#y-ticks:
plt.yticks(np.arange(start,stop,step))

Changing axis labels matplotlib

import matplotlib.pyplot as plt

fig, ax = plt.subplots()

labels = [item.get_text() for item in ax.get_xticklabels()]
labels[1] = 'Testing'

ax.set_xticklabels(labels)

Source: stackoverflow.com

Change xticks python

plt.xticks(np.arange(0,10),np.arange(10,20))

Yticks matplotlib

locs, labels = yticks()  # Get the current locations and labels.
>>> yticks(np.arange(0, 1, step=0.2))  # Set label locations.
>>> yticks(np.arange(3), ['Tom', 'Dick', 'Sue'])  # Set text labels.
>>> yticks([0, 1, 2], ['January', 'February', 'March'],
...        rotation=45)  # Set text labels and properties.
>>> yticks([])  # Disable yticks.

Source: matplotlib.org

Plt.xticks

# Show x axes with intervals of X instead of default (this case default=5)
import numpy as np
import matplotlib.pyplot as plt

x = [0,5,9,10,15]
y = [0,1,2,3,4]
X = 1.0
plt.plot(x,y)
plt.xticks(np.arange(min(x), max(x)+1, X))
plt.show()

Similar codes

17 votes336 views8 answers
Jupyter notebook
Python
3 votes350 views3 answers
Pandas convert series of datetime to date
Python
3 votes321 views1 answer
Python how to find gcd
Python
0 vote377 views1 answer
Django email change sender name
Python Django
0 vote324 views1 answer
Opencv find image contained within an image
Python
8 votes352 views3 answers
How to delete nan values in python
Python
1 vote442 views1 answer
Check if queryset is empty django template
Python Django
0 vote338 views2 answers
1000
Python
2 votes358 views2 answers
Discord.py cog
Python
-1 vote346 views1 answer
Pyhton mcq
Python