下面的代码创建了这个图。
请问有人能告诉我如何将x轴日期标签从“2023-06-19”转换为“19-May”格式吗?我试过谷歌搜索,但添加像labels = list(format = '{value:%b %d}')
这样的东西似乎没有产生影响,我不知道为什么。
highchart() %>%
hc_chart(plotBackgroundColor = "#F5F5F5", type = "column") %>%
hc_plotOptions(column = list(dataLabels = list(enabled = FALSE), stacking = "normal")) %>%
hc_add_series(data = input$`Bank Hol / Audit Cx`, name = "Bank Hol", color = "ivory", pointWidth = 20) %>%
hc_add_series(data = input$`Industrial Action Cx`, name = "Strike", color = "#F89880", pointWidth = 20) %>%
hc_add_series(data = input$`Non-AOS Capacity Cx`, name = "Type A Cx", color = "#311432", pointWidth = 20) %>%
hc_add_series(data = input$`AOS Capacity Cx`, name = "Type B Cx", color = "violet", pointWidth = 20) %>%
hc_add_series(data = input$`2023/24 Used`, name = "23/24 Used", color = "limegreen", pointWidth = 20) %>%
hc_add_series(data = input$`Capacity Plan`, name = "Plan", type = "line", color = "#980008", lineWidth = 2,
marker = list(fillColor = "#FFB6C1", lineWidth = 1, lineColor = NULL, symbol = "circle", radius = 4)) %>%
hc_add_series(data = input$`2019/20 Used`, name = "2019/20 Used", type = "line", color = "#818589", lineWidth = 1, dashStyle = "shortdash",
marker = list(fillColor = "white", lineWidth = 1, lineColor = NULL, symbol = "circle", radius = 3)) %>%
hc_add_series(data = input$`2022/23 Used`, name = "2022/23 Used", type = "line", color = "#205eda", lineWidth = 1, dashStyle = "shortdash",
marker = list(fillColor = "#ADD8E6", lineWidth = 1, lineColor = NULL, symbol = "circle", radius = 3)) %>%
hc_tooltip(crosshairs = FALSE, backgroundColor = "#F0F0F0", shared = TRUE, table = TRUE, borderWidth = 2) %>%
hc_yAxis(title = list(text = "Sessions (4-Hour Units)")) %>%
hc_xAxis(categories = as.list(input$Week), title = list(text = "Week Commencing"), type = "datetime", labels = list(rotation = 270))
Dput:
input <- structure(list(Week = structure(c(19450, 19457, 19464, 19471,
19478, 19485, 19492, 19499, 19506, 19513, 19520, 19527, 19534,
19541, 19548, 19555, 19562, 19569, 19576, 19583, 19590, 19597,
19604, 19611, 19618, 19625, 19632, 19639, 19646, 19653, 19660,
19667, 19674, 19681, 19688, 19695, 19702, 19709, 19716, 19723,
19730, 19737, 19744, 19751, 19758, 19765, 19772, 19779, 19786,
19793, 19800, 19807), class = "Date"), `Capacity Plan` = c(59.8,
52.675, 69, 72, 64.875, 64.875, 68.5, 72, 59.115, 72, 72, 69,
72, 72, 67.875, 72, 66.24, 66.24, 66.24, 66.24, 66.24, 59.115,
68, 72, 72, 72, 69, 72, 72, 66.24, 72, 68.5, 72, 72, 72, 72,
69, 72, 51.99, 59.115, 72, 68.5, 72, 72, 72, 66.24, 69, 72, 72,
72, 67.875, 65), `2019/20 Used` = c(65.875, 67.5, 70.5, 59.5,
70.75, 58.625, 70.375, 68, 57.125, 74.625, 73.375, 67, 70.875,
75.625, 70.375, 68.2625, 66, 73.5, 62.75, 66.625, 63.625, 53.875,
71.125, 60.25, 69.875, 68.25, 72.375, 72, 71.375, 75.375, 66.25,
64.75, 68.125, 66.25, 81, 72.75, 72.375, 73, 36.875, 44.75, 68.375,
71.25, 74.125, 73.25, 70.25, 74.375, 75.5, 73.25, 65, 64.125,
41.25, 42.5), `2022/23 Used` = c(57.25, 51, 46.25, 59.375, 52.125,
52, 62.75, 59.625, 36.75, 57.75, 59.125, 58.5, 60.25, 52.625,
52.875, 55, 51.375, 56.25, 53.625, 61.5, 52.5, 49, 54.25, 56.875,
49.5, 57.625, 54.875, 61.125, 61, 54.875, 61.125, 53.5, 60.5,
57.875, 64.625, 63.625, 65, 60.625, 38.5, 47.375, 59.125, 50.75,
60.25, 63.25, 50.5, 55.25, 63.875, 59.125, 51.75, 50.375, 62,
55.25), `2023/24 Used` = c(47.875, 34.625, 66.625, 64.375, 56.625,
59.875, 67.75, 71.4875, 53.125, 77.75, 55.625, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA), `Industrial Action Cx` = c(NA, 16, NA, NA,
NA, NA, NA, NA, NA, NA, 20, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA
), `AOS Capacity Cx` = c(6, 6, NA, NA, NA, NA, NA, NA, 4, NA,
2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA), `Non-AOS Capacity Cx` = c(NA,
NA, 2, 7, 2.7375, 3.75, 3, 1.25, 2, 1, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA), `Bank Hol / Audit Cx` = c(10, 9.25, 2.9875,
NA, 13.25, 12.25, 3, NA, 12.25, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA)), row.names = c(NA, -52L), class = c("tbl_df", "tbl",
"data.frame"))
1条答案
按热度按时间jvidinwx1#
您可以在
hc_xAxis
中更改categories
的format
,如下所示:x1c 0d1x创建于2023-06-23与reprex v2.0.2