xticks
Builtin index · Plotting
xticks(positions)
Input: positions · Output: no output
What it is
Sets explicit x tick positions from positions (Vec of numbers, data units), paired in order with xticklabels(...) when both are set. xticks(()) (empty) removes ticks entirely.
Overloads
One call shape — this function is not overloaded.
Code Input Output Description
xticks(positions)positions Vec or number not documented yet
no output xticks(()) (empty) removes ticks entirely.
Examples
From the documentation, and run by the build -- the output and the figure below are what the engine actually produced. Simplest first.
Xc = randn (200 , 2 , seed = 41 )
yc = zeros (200 )
for i in 0 to 199
if Xc[i, 0 ] + Xc[i, 1 ] > 0
yc[i] = 1
end if
end for
s = train_test_split (Xc, yc, test_size = 0.3 , seed = 9 )
function accuracy (model)
yhat = model.predict (s.X_test)
hit = yhat == s.y_test
return len (yhat[hit]) / len (yhat)
end function
names = ("knn" , "tree" , "forest" , "bayes" )
scores = (
accuracy (knn_model (s.X_train, s.y_train, 5 , kind = "classification" )),
accuracy (tree_model (s.X_train, s.y_train, kind = "classification" )),
accuracy (random_forest_model (s.X_train, s.y_train, 40 , seed = 3 , kind = "classification" )),
accuracy (naive_bayes_model (s.X_train, s.y_train))
)
for i in 0 to 3
print ("{names[i]}: {round(scores[i], 3)}" )
end for
bar (0 to 3 , scores, color = "#4169e1" , values = true )
xticks (0 to 3 )
xticklabels (names)
ylim (0 , 1 )
ylabel ("test accuracy" )
title ("held-out accuracy, same split" )
output knn: 0.983
tree: 0.95
forest: 0.967
bayes: 0.917
· bar: figure 10 (4 points)
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0.7
0.8
0.9
1.0
knn
tree
forest
bayes
x=-1.058, y=-0.826
x=0.594, y=0.636
x=0.88, y=1.305
x=-0.379, y=-0.489
x=0.152, y=1.215
x=1.407, y=0.754
x=0.231, y=-0.942
x=-1.291, y=-0.12
x=-0.085, y=-0.627
x=0.304, y=-0.101
x=0.037, y=0.004
x=-0.705, y=-0.429
x=0.241, y=-0.559
x=-0.582, y=-1.167
x=-0.277, y=-0.685
x=-1.636, y=-1.342
x=-0.865, y=-0.799
x=0.131, y=0.029
x=-1.581, y=-1.773
x=-2.048, y=-2.111
x=2.947, y=2.32
x=-0.456, y=-1.875
x=0.908, y=0.097
x=0.85, y=1.1
x=0.517, y=0.032
x=0.003, y=0.246
x=-0.201, y=0.212
x=0.466, y=-0.074
x=0.426, y=1.096
x=-0.066, y=-0.164
x=1.021, y=1.029
x=0.113, y=0.035
x=-0.998, y=-0.494
x=-0.066, y=-0.991
x=2.823, y=0.731
x=-0.046, y=-0.746
x=-0.029, y=-0.9
x=-0.031, y=0.196
x=-0.616, y=0.539
x=-1.349, y=-0.313
x=-1.085, y=-1.65
x=-1.452, y=-1.608
x=0.973, y=0.867
x=0.737, y=0.242
x=-0.185, y=0.468
x=1.175, y=1.485
x=-1.836, y=-0.822
x=-0.157, y=-0.076
x=0.407, y=0.307
x=-1.365, y=-1.022
x=-0.847, y=1.143
x=-0.762, y=0.021
x=-1.044, y=-0.505
x=0.478, y=1.123
x=0.316, y=-0.102
x=0.965, y=0.825
x=-0.751, y=-0.957
x=-0.988, y=-0.033
x=-1.22, y=-0.385
x=-0.681, y=-0.432
x=-0.621, y=0.256
x=0.918, y=0.744
x=1.182, y=-0.477
x=-0.039, y=0.425
x=0.585, y=-0.031
x=0.297, y=-0.535
x=0.112, y=-0.357
x=0.039, y=0.8
x=0.16, y=0.201
x=1.261, y=-0.955
x=0.95, y=0.238
x=-0.013, y=0.393
x=-1.577, y=-0.343
x=-0.67, y=-0.101
x=-0.631, y=-1.302
x=-0.84, y=-0.949
x=1.692, y=0.99
x=0.389, y=0.473
x=-0.261, y=-0.509
x=-0.491, y=-0.033
x=0.634, y=0.806
x=-0.342, y=0.622
x=-1.674, y=-1.63
x=0.039, y=-0.203
x=0.175, y=-0.688
x=0.206, y=0.293
x=1.405, y=0.994
x=-0.644, y=-0.672
x=-0.623, y=-0.7
x=1.569, y=0.384
x=-0.533, y=-0.154
x=0.682, y=-0.014
x=1.089, y=1.13
x=0.342, y=0.984
x=1.161, y=0.991
x=-0.232, y=0.289
x=-0.607, y=-0.737
x=0.295, y=0.07
x=0.275, y=0.25
x=-1.141, y=-0.456
x=0.461, y=0.554
x=-0.671, y=-0.906
x=0.513, y=1.154
x=0.499, y=-0.224
x=1.753, y=1.474
x=0.103, y=0.61
x=-0.351, y=0.258
x=0.553, y=-0.788
x=0.298, y=0.904
x=0.472, y=0.843
x=-0.94, y=-0.939
x=-1.062, y=-1.629
x=0.467, y=0.806
x=-0.653, y=-1.083
x=1.172, y=1.15
x=0.206, y=0.15
x=-1.077, y=-0.827
x=0.153, y=-0.987
x=0.202, y=0.439
x=0.011, y=-0.385
x=-0.67, y=0.029
x=1.367, y=0.502
x=0.955, y=0.531
x=0.352, y=0.238
x=1.543, y=0.703
x=-1.029, y=-0.474
x=0.104, y=0.508
x=0.877, y=-0.209
x=-1.366, y=-1.921
x=-1.583, y=-1.15
x=1.748, y=0.901
x=0.359, y=0.563
x=0.309, y=-0.002
x=1.322, y=1.929
x=-0.57, y=-0.79
x=-0.857, y=0.127
x=0.177, y=-0.37
x=-1.161, y=-1.563
x=0.371, y=1.281
x=-0.811, y=-1.39
x=0.168, y=1.089
x=-0.599, y=0.823
x=-0.452, y=-1.067
x=-1.241, y=-1.344
x=-0.711, y=-0.72
x=-0.233, y=-0.53
x=-0.344, y=0.761
x=1.152, y=0.27
x=0.989, y=0.896
x=0.308, y=0.67
x=-1.851, y=-1.723
x=0.866, y=0.926
x=-0.586, y=0.32
x=-0.204, y=-0.76
x=1.617, y=1.863
x=-0.897, y=-1.095
x=1.375, y=0.119
x=0.027, y=0.911
x=-0.268, y=-0.958
x=-0.58, y=-0.581
x=1.263, y=0.222
x=0.021, y=0.109
x=0.228, y=-0.664
x=0.002, y=-0.26
x=-0.301, y=0.237
x=0.646, y=0.863
x=0.272, y=-1.038
x=-0.432, y=-0.686
x=-0.123, y=1.22
x=0.844, y=1.163
x=-1.237, y=-1.157
x=2, y=1.132
x=-0.836, y=0.309
x=-0.332, y=-0.738
x=0.17, y=0.198
x=-0.327, y=0.587
x=-1.737, y=-1.131
x=-0.054, y=0.877
x=0.317, y=0.75
x=-1.406, y=-1.905
x=0.04, y=0.092
x=1.456, y=0.878
x=0.373, y=0.985
x=-0.912, y=-0.551
x=-0.104, y=0.042
x=0.349, y=0.549
x=1.098, y=0.24
x=0.588, y=-0.011
x=-0.164, y=-0.854
x=0.235, y=-0.679
x=-0.713, y=0.139
x=0.252, y=-0.404
x=-0.029, y=-0.281
x=-0.988, y=-0.818
x=0.223, y=-0.99
x=-0.591, y=0.839
x=-0.36, y=-0.088
x=-0.006, y=-0.156
x=-0.054, y=-0.158
x=0.644, y=-0.111
x=-3, y=-4.018
x=-2.75, y=-6.388
x=-2.5, y=-5.262
x=-2.25, y=0.293
x=-2, y=1.587
x=-1.75, y=1.194
x=-1.5, y=1.829
x=-1.25, y=2.719
x=-1, y=-0.145
x=-0.75, y=0.779
x=-0.5, y=-0.837
x=-0.25, y=2.101
x=0, y=0.378
x=0.25, y=1.148
x=0.5, y=1.019
x=0.75, y=-3.978
x=1, y=-3.731
x=1.25, y=-0.191
x=1.5, y=-1.178
x=1.75, y=-2.55
x=2, y=-0.452
x=2.25, y=4.657
x=2.5, y=0.591
x=2.75, y=5.418
x=3, y=6.826
x=-4.221, y=-3.675
x=-4.749, y=-4.599
x=-4.378, y=-5.049
x=-4.908, y=-2.938
x=-3.111, y=-4.705
x=-4.7, y=-3.185
x=-4.948, y=-4.24
x=-5.087, y=-4.991
x=-3.755, y=-2.658
x=-4.866, y=-3.893
x=-3.202, y=-4.799
x=-3.536, y=-4.59
x=-4.643, y=-4.655
x=-4.223, y=-3.8
x=-4.771, y=-4.791
x=-5.162, y=-3.624
x=-2.644, y=-3.501
x=-5.565, y=-4.823
x=-3.561, y=-2.64
x=-4.529, y=-4.524
x=-5.6, y=-5.042
x=-3.048, y=-3.184
x=-4.283, y=-4.206
x=-5.239, y=-4.032
x=-2.871, y=-5.062
x=-2.117, y=-2.96
x=-3.794, y=-3.873
x=-3.245, y=-4.153
x=-4.242, y=-4.691
x=-3.935, y=-4.681
x=-2.991, y=-2.757
x=-4.498, y=-3.651
x=-4.482, y=-5.712
x=-3.324, y=-4.723
x=-5.062, y=-5.077
x=-4.34, y=-4.914
x=-4.945, y=-5.731
x=-4.523, y=-3.545
x=-2.907, y=-3.457
x=-4.38, y=-3.659
x=3.22, y=4.412
x=3.089, y=4.062
x=2.827, y=3.584
x=3.848, y=5.345
x=4.196, y=4.669
x=3.111, y=4.336
x=2.961, y=3.91
x=5.036, y=4.596
x=5.339, y=4.031
x=4.874, y=2.505
x=4.357, y=2.791
x=3.318, y=5.241
x=2.544, y=3.948
x=6.731, y=3.889
x=4.101, y=4.456
x=3.18, y=2.902
x=4.415, y=7.292
x=3.9, y=6.008
x=3.342, y=4.252
x=2.138, y=4.074
x=3.304, y=4.752
x=4.53, y=4.152
x=3.264, y=4.913
x=3.885, y=2.94
x=5.542, y=3.917
x=1.488, y=3.061
x=2.847, y=3.236
x=3.93, y=3.488
x=2.913, y=2.598
x=3.839, y=4.13
x=2.508, y=3.961
x=2.846, y=4.195
x=4.278, y=4.197
x=4.971, y=5.339
x=4.568, y=5.297
x=3.797, y=3.895
x=3.459, y=4.494
x=4.285, y=3.369
x=3.836, y=2.999
x=2.123, y=1.312
x=-0.678, y=-0.737
x=-0.734, y=0.333
x=-0.016, y=1.204
x=0.605, y=0.633
x=0.426, y=-0.995
x=-0.383, y=0.403
x=-0.064, y=0.253
x=-1.862, y=-0.361
x=0.298, y=0.52
x=-1.481, y=-1.025
x=0.719, y=0.808
x=1.151, y=-0.726
x=-0.082, y=-0.357
x=-0.401, y=0.791
x=-0.182, y=0.737
x=0.394, y=0.021
x=0.954, y=0.671
x=0.405, y=0.336
x=-1.617, y=-0.65
x=-0.669, y=-1.147
x=-2.452, y=1.586
x=1.709, y=-0.65
x=0.122, y=-0.171
x=1.066, y=-1.195
x=0.053, y=-0.57
x=-0.396, y=-0.235
x=0.819, y=-0.788
x=0.012, y=0.012
x=-2.723, y=0.397
x=1.545, y=0.484
x=-1.119, y=0.98
x=-0.22, y=-0.804
x=-1.564, y=-1.293
x=-1.811, y=-0.276
x=0.774, y=-1.055
x=0.575, y=1.214
x=-0.348, y=-1.078
x=0.015, y=-0.404
x=0.245, y=-1.466
x=0.436, y=1.71
x=0, y=0.983
0.983
x=1, y=0.95
0.95
x=2, y=0.967
0.967
x=3, y=0.917
0.917
held-out accuracy, same split
a
test accuracy
measured
cubic fit
measured
forecast
cluster 0
cluster 1
cluster 2
centroids
from statistics-ml
figure ()
t = linspace (0 , 1 , 200 )
plot (t, sin (2 * pi * 5 * t))
xticks ([0 , 0.5 , 1 ])
xticklabels ("start" , "mid" , "end" )
yticks ([-1 , 0 , 1 ])
yticklabels ("low" , "zero" , "high" )
fontfamily ("sans" )
fontsize (tick = 10 , label = 12 , title = 14 )
figure_background ("#f7f7f7" )
colormap ("viridis" )
colorbar ()
grid ()
box ()
subplot (1 , 1 , 1 )
xscale ("linear" )
yscale ("linear" )
title ("Styled panel" )
output · plot: figure 8 (200 points)
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0.3
0.4
0.5
0.6
0.7
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Styled panel
from plotting
How it works
xticks(positions) — explicit tick positions, paired in order with xticklabels(...) when both are set (MATLAB semantics).
From the note above this builtin in the interpreter, where the reasoning was written down as it was built.