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日历图.Rmd
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日历图.Rmd
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---
title: "日历图"
author: "李誉辉"
date: "2020/8/28"
output:
html_document:
highlight: pygments
theme: cerulean
toc: yes
toc_depth: 4
toc_float:
collapsed: true
smooth_scroll: false
number_sections: true
df_print: paged
---
# 引言
日历图数据结构一般有2个变量：`Date`和`Value`，`value`映射到颜色。
# `ggTimeSeries`绘图
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold"}
setwd("D:/R/working_documents1")
library(ggplot2)
library(data.table) # 数据格式依赖
library(ggTimeSeries)
library(RColorBrewer)
# 构造随机数据
set.seed(2134)
dat <- data.table(
date = seq(as.Date("2016-01-01"), as.Date("2019-12-31"), "days"),
ValueCol = runif(1461)
)
dat[, ValueCol := ValueCol + (strftime(date, "%u") %in% c(6,7)*runif(1)*0.75)
][, ValueCol := ValueCol + (abs(as.numeric(strftime(date, "%m")) - 6.5))*runif(1)*0.75
][, ':='(Year = as.integer(strftime(date, "%Y")), # add new column
month = as.integer(strftime(date, "%m")),
week = as.integer(strftime(date, "%W")))] # 添加列
MonthLabels <- dat[, list(meanWkofYr = mean(week)), by = c("month")
][, month := month.abb[month]]
```
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold", fig.width=12, fig.height=8}
ggplot(data = dat, aes(date = date, fill = ValueCol)) +
stat_calendar_heatmap() +
scale_fill_gradientn(colours = rev(brewer.pal(11, "Spectral"))) +
scale_y_continuous(name = NULL,
breaks = seq(7, 1, -1),
labels = c("Mon", "Tue", "Wed",
"Thu", "Fri", "Sat", "Sun")) +
scale_x_continuous(name = NULL,
breaks = MonthLabels$meanWkofYr,
labels = MonthLabels$month,
expand = c(0,0)) +
facet_wrap(~Year, ncol = 1, strip.position = "right") +
theme(panel.background = element_blank(),
panel.border = element_blank(),
strip.background = element_blank(),
strip.text = element_text(size = 13, face = "plain", color = "black"),
axis.line = element_line(colour = "black", size = 0.25),
axis.title = element_text(size = 10, face = "plain", color = "black"),
axis.text = element_text(size = 10, face = "plain", color = "black"))
```
# `geom_tile()`
使用`ggplot2`通过按月分面，可以绘制以月为单位的日历图。
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold"}
label_mons <- c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul",
"Aug", "Sep", "Oct", "Nov", "Dec")
label_wik <- c("Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun")
dat19 <- dat[Year == 2017, list(date, ValueCol, month, week)
][, ':='(weekday = as.integer(strftime(date, "%u")), # 周数
yearmonth = strftime(date, "%m%Y"), # 月数
day = strftime(date, "%d")) # 天数
][, ':='(monthf = factor(x = month, levels = as.character(1:12),
labels = label_mons, ordered = TRUE),
weekdayf = factor(x = weekday, levels = 1:7,
labels = label_wik, ordered = TRUE),
yearmonthf = factor(x = yearmonth))
][, ':='(monthweek = 1 + week - min(week)), by = .(monthf)] # 分组聚合
```
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold"}
label_mons <- c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul",
"Aug", "Sep", "Oct", "Nov", "Dec")
label_wik <- c("Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun")
dat19 <- dat[Year == 2017, list(date, ValueCol, month, week)
][, ':='(weekday = as.integer(strftime(date, "%u")), # 周数
day = strftime(date, "%d")) # 天数
][, ':='(monthf = factor(x = month, levels = as.character(1:12),
labels = label_mons, ordered = TRUE),
weekdayf = factor(x = weekday, levels = 1:7,
labels = label_wik, ordered = TRUE))
][, ':='(monthweek = 1 + week - min(week)), by = .(monthf)] # 分组聚合
```
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold", fig.width=12, fig.height=8}
ggplot(dat19, aes(weekdayf, monthweek, fill = ValueCol)) +
geom_tile(color = "white") +
geom_text(aes(label = day), size = 3) +
scale_fill_gradientn(colours = rev(brewer.pal(11, "Spectral"))) +
facet_wrap(~monthf, nrow = 3) +
scale_y_reverse(name = "Week of the month") +
xlab("Day") +
theme(strip.text = element_text(size = 11, face = "plain", color = "black"),
panel.grid = element_blank())
```
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold"}
```
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold"}
```
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold"}
```
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold"}
```
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold"}
```
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold"}
```
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold"}
```
```{r, max.print = 18, row.print = 6, tidy=FALSE, message=FALSE, results="hold", warning=FALSE, cache=FALSE, fig.show="hold"}
```