xtick max value setup with panda and matplotlib

Question

How is it possible that the last xtick would be the last value of the data?

import pandas as pd
import matplotlib.pyplot as plt
a = [583, 1379, 1404, 5442, 5512, 5976, 5992, 6111, 6239, 6375, 6793, 6994, 7109, 7149, 7210, 7225, 7459, 8574, 9154, 9417, 9894, 10119, 10355, 10527, 11933, 12170, 12172, 12273, 12870, 13215, 13317, 13618, 13632, 13790, 14260, 14282, 14726, 15156, 19262, 21501, 21544, 21547, 21818, 21939, 22386, 22622, 22830, 23898, 25796, 26126, 26340, 28585, 28645, 28797, 28808, 28878, 29167, 29168, 31161, 31225, 32284, 32332, 32641, 33227, 34175, 34349, 34675, 34772, 34935, 35086]

d = pd.DataFrame(a)
d.hist(bins=50)
f = plt.figure()
plt.xlabel("xTEST")
plt.ylabel("yTEST")
plt.subplots_adjust(bottom=.25, left=.25)

plt.ticklabel_format(style = 'plain')

plt.title('Title here!', color='black')
plt.xlim(xmin=1, xmax=35086)
plt.show()

Answer 1

If you want to use the same figure created by pandas you cannot create a new one (see below). You can set the ticks positions manually adding plt.xticks() after the plt.xlim()

plt.xticks(seq)

where the sequence seq can be pd.np.linspace(1, 35086, 5) for example, or given manually like:

seq = [1, 10000, 20000, 35086]

The final code would be:

import pandas as pd
import matplotlib.pyplot as plt
a = [583, 1379, 1404, 5442, 5512, 5976, 5992, 6111, 6239, 6375, 6793, 6994, 7109, 7149, 7210, 7225, 7459, 8574, 9154, 9417, 9894, 10119, 10355, 10527, 11933, 12170, 12172, 12273, 12870, 13215, 13317, 13618, 13632, 13790, 14260, 14282, 14726, 15156, 19262, 21501, 21544, 21547, 21818, 21939, 22386, 22622, 22830, 23898, 25796, 26126, 26340, 28585, 28645, 28797, 28808, 28878, 29167, 29168, 31161, 31225, 32284, 32332, 32641, 33227, 34175, 34349, 34675, 34772, 34935, 35086]

d = pd.DataFrame(a)
d.hist(bins=50)
ax = plt.gca()
ax.set_xlabel("xTEST")
ax.set_ylabel("yTEST")
plt.subplots_adjust(bottom=.25, left=.25)
plt.ticklabel_format(style = 'plain')

ax.set_title('Title here!', color='black')
ax.set_xlim(xmin=1, xmax=35086)
ax.set_xticks(pd.np.linspace(1, 35086, 5))
plt.show()

Giving:

Answer 2

Not sure what exactly what you need, but you'll need to delete the line

f = plt.figure()

if you want you histogram of d and the title/label/xlim etc. to be in the same chart.