I found a webpage which explaining how to use set_xticks and . set_xticklabels.
And they set set_xticks and 'set_xticklabels' as following...
ax.set_xticks(xx[::5,0])
ax.set_xticklabels(times[::5])
ax.set_yticks(yy[0,::5])
ax.set_yticklabels(dates[::5])
What does  [::5,0]  exactly mean..
I don't have any idea.....
For a numpy array, the notation[::5,6] means to take the 6th column for that array and then in the 6th column, every 5th row starting at the first row till the last row.
Example -
In [12]: n = np.arange(100000)
In [17]: n.shape = (500,200)
In [18]: n[::1,2]
Out[18]:
array([    2,   202,   402,   602,   802,  1002,  1202,  1402,  1602,
        1802,  2002,  2202,  2402,  2602,  2802,  3002,  3202,  3402,
        3602,  3802,  4002,  4202,  4402,  4602,  4802,  .....])
In [19]: n[::5,2]
Out[19]:
array([    2,  1002,  2002,  3002,  4002,  5002,  6002,  ...])
Reference on numpy array slicing here , if you are interested.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With