How to set ticks on Fixed Position , matplotlib

Can anyone help me set the ticks on a fixed position using matplotlib? I’ve tried using FixedPosition as this tutorial describes:

ax = pl.gca()
ax.xaxis.set_major_locator(eval(locator))

http://scipy-lectures.github.io/intro/matplotlib/matplotlib.html#figures-subplots-axes-and-ticks

But when I try to run, it tells me that set_major_locator method does not exist.

A simple example would be very useful.

Thanks.

Answers:

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Method 1

Just use ax.set_xticks(positions) or ax.set_yticks(positions).

For example:

import matplotlib.pyplot as plt

fig, ax = plt.subplots()
ax.set_xticks([0.15, 0.68, 0.97])
ax.set_yticks([0.2, 0.55, 0.76])
plt.show()

Method 2

import numpy as np
import matplotlib.ticker as ticker
import matplotlib.pyplot as plt

name_list = ('Omar', 'Serguey', 'Max', 'Zhou', 'Abidin')
value_list = np.random.randint(0, 99, size = len(name_list))
pos_list = np.arange(len(name_list))

ax = plt.axes()
ax.xaxis.set_major_locator(ticker.FixedLocator((pos_list)))
ax.xaxis.set_major_formatter(ticker.FixedFormatter((name_list)))
plt.bar(pos_list, value_list, color = '.75', align = 'center')

plt.show()

All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0