1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
|
expect_traces <- function(p, n.traces, name){
stopifnot(is.numeric(n.traces))
L <- expect_doppelganger_built(p, paste0("plotly-", name))
expect_equivalent(length(L$data), n.traces)
L
}
test_that("Can set colorbar attributes", {
p <- plot_ly(mtcars, x = ~wt, y = ~cyl, color = ~cyl)
p <- colorbar(p, len = 0.3)
l <- expect_traces(p, 2, "colorbar")
expect_equivalent(l$data[[2]]$marker$colorbar$len, 0.3)
})
test_that("Can expand limits", {
p <- plot_ly(mtcars, x = ~wt, y = ~cyl, color = ~cyl)
p <- colorbar(p, limits = c(0, 20))
l <- expect_traces(p, 2, "colorbar-expand")
expect_true(l$data[[1]]$marker$cmin == 0)
expect_true(l$data[[2]]$marker$cmin == 0)
expect_true(l$data[[1]]$marker$cmax == 20)
expect_true(l$data[[2]]$marker$cmax == 20)
})
test_that("Can restrict limits", {
p <- plot_ly(mtcars, x = ~wt, y = ~cyl, color = ~cyl)
p <- colorbar(p, limits = c(5, 7))
l <- expect_traces(p, 2, "colorbar-restrict")
expect_equivalent(unique(l$data[[1]]$marker$color), c(6, NA))
expect_true(l$data[[2]]$marker$cmin == 5)
expect_true(l$data[[2]]$marker$cmax == 7)
})
test_that("Can expand z limits", {
p <- plot_ly(z = ~volcano)
p <- colorbar(p, limits = c(0, 300))
l <- expect_traces(p, 1, "colorbar-z-expand")
expect_equivalent(l$data[[1]]$zmin, 0)
expect_equivalent(l$data[[1]]$zmax, 300)
})
# TODO: values outside the scale limits should probably be non-transparent (e.g. gray)
test_that("Can restrict z limits", {
p <- plot_ly(z = ~volcano)
p <- colorbar(p, limits = c(140, 160))
l <- expect_traces(p, 1, "colorbar-z-restrict")
expect_equivalent(l$data[[1]]$zmin, 140)
expect_equivalent(l$data[[1]]$zmax, 160)
v <- c(volcano)
v[v < 140 | 160 < v] <- NA
dim(v) <- dim(volcano)
expect_equivalent(l$data[[1]][["z"]], v)
})
test_that("colorbar does not affect mode of other traces", {
# https://github.com/ropensci/plotly/issues/1196
p <- plot_ly() %>%
add_markers(data = mtcars, x= ~ hp, y= ~mpg, color = ~wt) %>%
add_lines(x = seq(100, 300, length.out = 20), y = seq(10, 30, length.out = 20),
color = I("black"))
expect_true(hide_colorbar(p)$x$data[[1]]$mode == "markers")
expect_true(hide_colorbar(p)$x$data[[2]]$mode == "lines")
expect_true(colorbar(p, limits = c(1,10))$x$data[[1]]$mode == "markers")
expect_true(colorbar(p, limits = c(1,10))$x$data[[2]]$mode == "lines")
})
test_that("can control both fill and stroke colorbars", {
p <- plot_ly(mtcars, x = ~wt, y = ~cyl, color = ~cyl, stroke = ~wt) %>%
colorbar(title = "fill color", len = 0.4) %>%
colorbar(title = "stroke color", len = 0.6, y = 0.55, which = 2)
d <- p$x$data
expect_length(d, 3)
bar_fill <- d[[2]]$marker$colorbar
expect_true(bar_fill$len == 0.4)
expect_true(bar_fill$y == 1)
expect_true(bar_fill$title == "fill color")
bar_stroke <- d[[3]]$marker$colorbar
expect_true(bar_stroke$len == 0.6)
expect_true(bar_stroke$y == 0.55)
expect_true(bar_stroke$title == "stroke color")
})
test_that("positioning with multiple colorbars and legends", {
s <- subplot(
plot_ly(z = ~volcano),
plot_ly(x = 1:10, y = 1:10, color = 1:10)
)
b <- plotly_build(s)
d <- b$x$data
expect_length(d, 3)
expect_true(d[[1]]$colorbar$len == 1/3)
expect_true(d[[1]]$colorbar$lenmode == "fraction")
expect_true(d[[1]]$colorbar$yanchor == "top")
expect_true(d[[1]]$colorbar$y == 1)
expect_true(d[[3]]$marker$colorbar$len == 1/3)
expect_true(d[[3]]$marker$colorbar$lenmode == "fraction")
expect_true(d[[3]]$marker$colorbar$yanchor == "top")
expect_equal(as.numeric(d[[3]]$marker$colorbar$y), 2/3, tolerance = 0.01)
expect_true(b$x$layout$legend$yanchor == "top")
expect_equal(as.numeric(b$x$layout$legend$y), 1/3, tolerance = 0.01)
s <- subplot(
plot_ly(z = ~volcano),
plot_ly(x = 1:8, y = 1:8, color = factor(1:8))
)
b <- plotly_build(s)
d <- b$x$data
expect_length(d, 9)
expect_true(d[[1]]$colorbar$len == 0.5)
expect_true(d[[1]]$colorbar$lenmode == "fraction")
expect_true(d[[1]]$colorbar$yanchor == "top")
expect_true(d[[1]]$colorbar$y == 1)
expect_true(b$x$layout$legend$y == 0.5)
expect_true(b$x$layout$legend$yanchor == "top")
})
test_that("Colorbar limits controls marker.color and line.color", {
# https://github.com/ropensci/plotly/issues/1236
p <- plot_ly(
mtcars, x = ~hp, y = ~cyl, z = ~mpg, color = ~mpg,
type = "scatter3d", mode = "lines+markers"
)
b <- plotly_build(p)
expect_length(b$x$data, 2)
expect_true(all(b$x$data[[1]]$marker$color == mtcars$mpg))
expect_true(all(b$x$data[[1]]$line$color == mtcars$mpg))
expect_true(b$x$data[[1]]$marker$cmin == min(mtcars$mpg))
expect_true(b$x$data[[1]]$marker$cmax == max(mtcars$mpg))
expect_true(b$x$data[[1]]$line$cmin == min(mtcars$mpg))
expect_true(b$x$data[[1]]$line$cmax == max(mtcars$mpg))
p2 <- colorbar(p, limits = c(0, 100))
b2 <- plotly_build(p2)
expect_length(b2$x$data, 2)
expect_true(all(b2$x$data[[1]]$marker$color == mtcars$mpg))
expect_true(all(b2$x$data[[1]]$line$color == mtcars$mpg))
expect_true(b2$x$data[[1]]$marker$cmin == 0)
expect_true(b2$x$data[[1]]$marker$cmax == 100)
expect_true(b2$x$data[[1]]$line$cmin == 0)
expect_true(b2$x$data[[1]]$line$cmax == 100)
p3 <- colorbar(p, limits = c(20, 100))
b3 <- plotly_build(p3)
mpg <- mtcars$mpg
mpg[mpg < 20] <- NA
expect_true(Reduce(`&`, Map(identical, b3$x$data[[1]]$marker$color, mpg)))
expect_true(Reduce(`&`, Map(identical, b3$x$data[[1]]$line$color, mpg)))
expect_true(b3$x$data[[1]]$marker$cmin == 20)
expect_true(b3$x$data[[1]]$marker$cmax == 100)
expect_true(b3$x$data[[1]]$line$cmin == 20)
expect_true(b3$x$data[[1]]$line$cmax == 100)
})
test_that("colorbar limits shouldn't control non-color-scale mapping(s)", {
p <- plot_ly(x = 1:10, y = 1:10, color = 1:10) %>%
add_markers() %>%
add_lines(x = 1:3, y = 1:3, color = I('red')) %>%
colorbar(limits = c(1, 5))
b <- plotly_build(p)
expect_length(b$x$data, 3)
expect_true(sum(is.na(b$x$data[[1]]$marker$color)) == 5)
expect_true(b$x$data[[2]]$line$color == toRGB("red"))
})
|
