我已更改import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
from matplotlib import cm
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
# ======
## data:
DATA = np.array([
[-0.807237702464, 0.904373229492, 111.428744443],
[-0.802470821517, 0.832159465335, 98.572957317],
[-0.801052795982, 0.744231916692, 86.485869328],
[-0.802505546206, 0.642324228721, 75.279804677],
[-0.804158144115, 0.52882485495, 65.112895758],
[-0.806418040943, 0.405733109371, 56.1627277595],
[-0.808515314192, 0.275100227689, 48.508994388],
[-0.809879521648, 0.139140394575, 42.1027499025],
[-0.810645106092, -7.48279012695e-06, 36.8668106345],
[-0.810676720161, -0.139773175337, 32.714580273],
[-0.811308686707, -0.277276065449, 29.5977405865],
[-0.812331692291, -0.40975978382, 27.6210856615],
[-0.816075037319, -0.535615685086, 27.2420699235],
[-0.823691366944, -0.654350489595, 29.1823292975],
[-0.836688691603, -0.765630198427, 34.2275056775],
[-0.854984518665, -0.86845932028, 43.029581434],
[-0.879261949054, -0.961799684483, 55.9594146815],
[-0.740499820944, 0.901631050387, 97.0261463995],
[-0.735011699497, 0.82881933383, 84.971061395],
[-0.733021568161, 0.740454485354, 73.733621269],
[-0.732821755233, 0.638770044767, 63.3815970475],
[-0.733876941678, 0.525818698874, 54.0655910105],
[-0.735055978521, 0.403303715698, 45.90859502],
[-0.736448900325, 0.273425879041, 38.935709456],
[-0.737556181137, 0.13826504904, 33.096106049],
[-0.738278724065, -9.73058423274e-06, 28.359664343],
[-0.738507612286, -0.138781586244, 24.627237837],
[-0.738539663773, -0.275090412979, 21.857410904],
[-0.739099040189, -0.406068448513, 20.1110519655],
[-0.741152200369, -0.529726022182, 19.7019157715],
])
Xs = DATA[:,0]
Ys = DATA[:,1]
Zs = DATA[:,2]
## plot:
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
surf = ax.plot_trisurf(Xs, Ys, Zs, cmap=cm.jet, linewidth=0)
fig.colorbar(surf)
ax.xaxis.set_major_locator(MaxNLocator(5))
ax.yaxis.set_major_locator(MaxNLocator(6))
ax.zaxis.set_major_locator(MaxNLocator(5))
fig.tight_layout()
fig.savefig('3D.png')
plt.show()
并远程重启了计算机,但是,在启动后,/etc/security/limits.com
参数仍然是旧值。
nproc
请注意我将[ost@compute-0-1 ~]$ cat /etc/security/limits.conf
* - memlock -1
* - stack -1
* - nofile 4096
* - nproc 4096 <=====================================
[ost@compute-0-1 ~]$
Broadcast message from root@compute-0-1.local
(/dev/pts/0) at 19:27 ...
The system is going down for reboot NOW!
Connection to compute-0-1 closed by remote host.
Connection to compute-0-1 closed.
ost@cluster:~$ ssh compute-0-1
Warning: untrusted X11 forwarding setup failed: xauth key data not generated
Last login: Tue Sep 27 19:25:25 2016 from cluster.local
Rocks Compute Node
Rocks 6.1 (Emerald Boa)
Profile built 19:00 23-Aug-2016
Kickstarted 19:08 23-Aug-2016
[ost@compute-0-1 ~]$ ulimit -a
core file size (blocks, -c) 0
data seg size (kbytes, -d) unlimited
scheduling priority (-e) 0
file size (blocks, -f) unlimited
pending signals (-i) 516294
max locked memory (kbytes, -l) unlimited
max memory size (kbytes, -m) unlimited
open files (-n) 4096
pipe size (512 bytes, -p) 8
POSIX message queues (bytes, -q) 819200
real-time priority (-r) 0
stack size (kbytes, -s) unlimited
cpu time (seconds, -t) unlimited
max user processes (-u) 1024 <=========================
virtual memory (kbytes, -v) unlimited
file locks (-x) unlimited
设置为4096,但重启后,该值仍为1024.
答案 0 :(得分:1)
请查看名为/etc/pam.d/sshd
的文件。
如果可以找到它,请打开文件并插入以下行。
session required pam_limits.so
然后,即使重新启动,新值也会生效。
PAM是一个与身份验证相关的模块。所以你需要通过ssh login启用模块。
有关man pam_limits
的更多详情。
谢谢!