-
Notifications
You must be signed in to change notification settings - Fork 1
/
theme-elements.R
371 lines (343 loc) · 11.8 KB
/
theme-elements.R
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
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
#' Theme Elements for Image Grobs
#'
#' @description
#' In conjunction with the [ggplot2::theme] system, the following `element_`
#' functions enable images in non-data components of the plot, e.g. axis text.
#'
#' - `element_nfl_logo()`: draws NFL team logos instead of their abbreviations.
#' - `element_nfl_wordmark()`: draws NFL team wordmarks instead of their abbreviations.
#' - `element_nfl_headshot()`: draws NFL player headshots instead of their GSIS IDs.
#' - `element_path()`: draws images from valid image URLs instead of the URL.
#'
#' @details The elements translate NFL team abbreviations or NFL player GSIS IDs
#' into logo images or player headshots, respectively.
#' @param alpha The alpha channel, i.e. transparency level, as a numerical value
#' between 0 and 1.
#' @param colour,color The image will be colorized with this color. Use the
#' special character `"b/w"` to set it to black and white. For more information
#' on valid color names in ggplot2 see
#' <https://ggplot2.tidyverse.org/articles/ggplot2-specs.html?q=colour#colour-and-fill>.
#' @param hjust,vjust The horizontal and vertical adjustment respectively.
#' Must be a numerical value between 0 and 1.
#' @param size The output grob size in `cm` (!).
#' @param ... Arguments passed on to [ggpath::element_path]
#' @seealso [geom_nfl_logos()], [geom_nfl_headshots()], [geom_nfl_wordmarks()],
#' and [geom_from_path()] for more information on valid team abbreviations,
#' player IDs, and other parameters.
#' @seealso The examples on <https://nflplotr.nflverse.com/articles/nflplotR.html>
#' @return An S3 object of class `element`.
#' @examples
#' \donttest{
#' library(nflplotR)
#' library(ggplot2)
#'
#' team_abbr <- valid_team_names()
#' # remove conference logos from this example
#' team_abbr <- team_abbr[!team_abbr %in% c("AFC", "NFC", "NFL")]
#'
#' df <- data.frame(
#' random_value = runif(length(team_abbr), 0, 1),
#' teams = team_abbr
#' )
#'
#' # use logos for x-axis
#' ggplot(df, aes(x = teams, y = random_value)) +
#' geom_col(aes(color = teams, fill = teams), width = 0.5) +
#' scale_color_nfl(type = "secondary") +
#' scale_fill_nfl(alpha = 0.4) +
#' theme_minimal() +
#' theme(axis.text.x = element_nfl_logo())
#'
#' # use logos for y-axis
#' ggplot(df, aes(y = teams, x = random_value)) +
#' geom_col(aes(color = teams, fill = teams), width = 0.5) +
#' scale_color_nfl(type = "secondary") +
#' scale_fill_nfl(alpha = 0.4) +
#' theme_minimal() +
#' theme(axis.text.y = element_nfl_logo())
#'
#' #############################################################################
#' # Headshot Examples
#' #############################################################################
#' library(nflplotR)
#' library(ggplot2)
#'
#' # Silence an nflreadr message that is irrelevant here
#' old <- options(nflreadr.cache_warning = FALSE)
#'
#' dfh <- data.frame(
#' random_value = runif(9, 0, 1),
#' player_gsis = c("00-0033873",
#' "00-0026498",
#' "00-0035228",
#' "00-0031237",
#' "00-0036355",
#' "00-0019596",
#' "00-0033077",
#' "00-0012345",
#' "00-0031280")
#' )
#'
#' # use headshots for x-axis
#' ggplot(dfh, aes(x = player_gsis, y = random_value)) +
#' geom_col(width = 0.5) +
#' theme_minimal() +
#' theme(axis.text.x = element_nfl_headshot(size = 1))
#'
#' # use headshots for y-axis
#' ggplot(dfh, aes(y = player_gsis, x = random_value)) +
#' geom_col(width = 0.5) +
#' theme_minimal() +
#' theme(axis.text.y = element_nfl_headshot(size = 1))
#'
#' # Restore old options
#' options(old)
#'
#' #############################################################################
#' # Wordmarks and other Images
#' #############################################################################
#'
#' library(ggplot2)
#'
#' dt <- data.table::as.data.table(mtcars)[,
#' `:=`(
#' team = sample(c("LAC", "BUF", "DAL", "ARI"), nrow(mtcars), TRUE),
#' player = sample(
#' c("00-0033873", "00-0035228", "00-0036355", "00-0019596"),
#' nrow(mtcars),
#' TRUE
#' )
#' )
#' ]
#'
#' ggplot(dt, aes(x = mpg, y = disp)) +
#' geom_point() +
#' facet_wrap(vars(team)) +
#' labs(
#' title = tools::toTitleCase("These are random teams and data"),
#' subtitle = "I just want to show how the nflplotR theme elements work",
#' caption = "https://github.com/nflverse/nflseedR/raw/master/man/figures/caption.png"
#' ) +
#' theme_minimal() +
#' theme(
#' plot.title.position = "plot",
#' plot.title = element_text(face = "bold"),
#' axis.title = element_blank(),
#' # make wordmarks of team abbreviations
#' strip.text = element_nfl_wordmark(size = 1),
#' # load image from url in caption
#' plot.caption = element_path(hjust = 1, size = 0.4)
#' )
#' }
#' @name element
#' @aliases NULL
NULL
#' @export
#' @rdname element
element_nfl_logo <- function(alpha = NULL, colour = NA, hjust = NULL, vjust = NULL,
color = NULL, size = 0.5) {
if (!is.null(color)) colour <- color
structure(
list(alpha = alpha, colour = colour, hjust = hjust, vjust = vjust, size = size),
class = c("element_nfl_logo", "element_text", "element")
)
}
#' @export
#' @rdname element
element_nfl_wordmark <- function(alpha = NULL, colour = NA, hjust = NULL, vjust = NULL,
color = NULL, size = 0.5) {
if (!is.null(color)) colour <- color
structure(
list(alpha = alpha, colour = colour, hjust = hjust, vjust = vjust, size = size),
class = c("element_nfl_wordmark", "element_text", "element")
)
}
#' @export
#' @rdname element
element_nfl_headshot <- function(alpha = NULL, colour = NA, hjust = NULL, vjust = NULL,
color = NULL, size = 0.5) {
if (!is.null(color)) colour <- color
structure(
list(alpha = alpha, colour = colour, hjust = hjust, vjust = vjust, size = size),
class = c("element_nfl_headshot", "element_text", "element")
)
}
#' @export
#' @rdname element
element_path <- function(...) ggpath::element_path(...)
#' @export
element_grob.element_nfl_logo <- function(element, label = "", x = NULL, y = NULL,
alpha = NULL, colour = NULL,
hjust = 0.5, vjust = 0.5,
size = NULL, ...) {
if (is.null(label)) return(ggplot2::zeroGrob())
n <- max(length(x), length(y), 1)
vj <- element$vjust %||% vjust
hj <- element$hjust %||% hjust
x <- x %||% unit(rep(hj, n), "npc")
y <- y %||% unit(rep(vj, n), "npc")
alpha <- alpha %||% element$alpha
colour <- colour %||% rep(element$colour, n)
size <- size %||% element$size
grobs <- lapply(
seq_along(label),
axisImageGrob,
alpha = alpha,
colour = colour,
label = label,
x = x,
y = y,
hjust = hj,
vjust = vj,
type = "teams"
)
class(grobs) <- "gList"
grid::gTree(
gp = grid::gpar(),
children = grobs,
size = size,
cl = "axisImageGrob"
)
}
#' @export
element_grob.element_nfl_wordmark <- function(element, label = "", x = NULL, y = NULL,
alpha = NULL, colour = NULL,
hjust = 0.5, vjust = 0.5,
size = NULL, ...) {
if (is.null(label)) return(ggplot2::zeroGrob())
n <- max(length(x), length(y), 1)
vj <- element$vjust %||% vjust
hj <- element$hjust %||% hjust
x <- x %||% unit(rep(hj, n), "npc")
y <- y %||% unit(rep(vj, n), "npc")
alpha <- alpha %||% element$alpha
colour <- colour %||% rep(element$colour, n)
size <- size %||% element$size
grobs <- lapply(
seq_along(label),
axisImageGrob,
alpha = alpha,
colour = colour,
label = label,
x = x,
y = y,
hjust = hj,
vjust = vj,
type = "wordmarks"
)
class(grobs) <- "gList"
grid::gTree(
gp = grid::gpar(),
children = grobs,
size = size,
cl = "axisImageGrob"
)
}
#' @export
element_grob.element_nfl_headshot <- function(element, label = "", x = NULL, y = NULL,
alpha = NULL, colour = NULL,
hjust = 0.5, vjust = 0.5,
size = NULL, ...) {
if (is.null(label)) return(ggplot2::zeroGrob())
n <- max(length(x), length(y), 1)
vj <- element$vjust %||% vjust
hj <- element$hjust %||% hjust
x <- x %||% unit(rep(hj, n), "npc")
y <- y %||% unit(rep(vj, n), "npc")
alpha <- alpha %||% element$alpha
colour <- colour %||% rep(element$colour, n)
size <- size %||% element$size
grobs <- lapply(
seq_along(label),
axisImageGrob,
alpha = alpha,
colour = colour,
label = label,
x = x,
y = y,
hjust = hj,
vjust = vj,
type = "headshots"
)
class(grobs) <- "gList"
grid::gTree(
gp = grid::gpar(),
children = grobs,
size = size,
cl = "axisImageGrob"
)
}
axisImageGrob <- function(i, label, alpha, colour, x, y, hjust, vjust,
width = 1, height = 1,
type = c("teams", "headshots", "wordmarks")) {
make_null <- FALSE
type <- rlang::arg_match(type)
if(type == "teams") {
team_abbr <- label[i]
image_to_read <- logo_list[[team_abbr]]
if (is.na(team_abbr)) make_null <- TRUE
} else if(type == "wordmarks") {
team_abbr <- label[i]
image_to_read <- wordmark_list[[team_abbr]]
if (is.na(team_abbr)) make_null <- TRUE
} else {
gsis <- label[i]
headshot_map <- load_headshots()
image_to_read <- headshot_map$headshot_nfl[headshot_map$gsis_id == gsis]
if(length(image_to_read) == 0) image_to_read <- na_headshot()
}
if (is.na(make_null)){
return(grid::nullGrob())
} else if (is.null(alpha[i])) {
img <- reader_function(image_to_read)
col <- colour[i]
if (!is.null(col) && col %in% "b/w"){
new <- magick::image_quantize(img, colorspace = 'gray')
} else {
opa <- ifelse(is.na(col) || is.null(col), 0, 100)
col <- ifelse(is.na(col) || is.null(col), "none", col)
new <- magick::image_colorize(img, opa, col)
}
} else if (length(alpha) == 1L) {
if (as.numeric(alpha) <= 0 || as.numeric(alpha) >= 1) {
cli::cli_abort("aesthetic {.var alpha} requires a value between {.val 0} and {.val 1}")
}
img <- reader_function(image_to_read)
new <- magick::image_fx(img, expression = paste0(alpha, "*a"), channel = "alpha")
col <- colour[i]
if (!is.null(col) && col %in% "b/w"){
new <- magick::image_quantize(new, colorspace = 'gray')
} else {
opa <- ifelse(is.na(col) || is.null(col), 0, 100)
col <- ifelse(is.na(col) || is.null(col), "none", col)
new <- magick::image_colorize(new, opa, col)
}
} else {
if (any(as.numeric(alpha) < 0) || any(as.numeric(alpha) > 1)) {
cli::cli_abort("aesthetics {.var alpha} require values between {.val 0} and {.val 1}")
}
img <- reader_function(image_to_read)
new <- magick::image_fx(img, expression = paste0(alpha[i], "*a"), channel = "alpha")
col <- colour[i]
if (!is.null(col) && col %in% "b/w"){
new <- magick::image_quantize(new, colorspace = 'gray')
} else{
opa <- ifelse(is.na(col) || is.null(col), 0, 100)
col <- ifelse(is.na(col) || is.null(col), "none", col)
new <- magick::image_colorize(new, opa, col)
}
}
grid <- grid::rasterGrob(new, just = c(hjust, vjust))
grid$vp <- grid::viewport(
x = grid::unit(x[i], "npc"),
y = grid::unit(y[i], "npc"),
width = grid::unit(width, "npc"),
height = grid::unit(height, "npc")
# angle = data$angle[i],
)
grid
}
#' @export
grobHeight.axisImageGrob <- function(x, ...) grid::unit(x$size, "cm")
#' @export
grobWidth.axisImageGrob <- function(x, ...) grid::unit(x$size, "cm")