每个时间序列的多个图表 [英] multiple graphs of each time series

问题描述

我有以下数据框，其中每个用户有 288 个观察值:

I have the following dataframe where each user has 288 observations:

                          User5   User8   User10
   2015-01-01 00:00:00    12.3    10.3     17.5
   2015-01-01 00:30:00    20.1    12.7     20.9
   2015-01-01 01:00:00    12.8     9.2     17.8
   2015-01-01 01:30:00    11.5     6.9     12.5
   2015-01-01 02:00:00    12.2     9.2      7.5
   2015-01-01 02:30:00    9.2     14.2      9.0
   ....................   ....    ....     ....
   2015-01-01 23:30:00    11.2    10.7     16.8

如何制作包含每个时间序列的多个图表的图表?

How can I make a graph with multiple graphs of each time series?

推荐答案

另一种选择是将宽格式转换为长格式，然后在同一个图中绘制所有内容.下面是使用@G 发布的 DF 的代码.格洛腾迪克

Another option is to convert from wide to long format then plot everything in the same graph. Below is the code that use the DF posted by @G. Grothendieck

library(tidyverse)
library(scales)

# Convert Time from factor to Date/Time 
DF$Time <- as.POSIXct(DF$Time)

# Convert from wide to long format (`tidyr::gather`)
df_long <- DF %>% gather(key = "user", value = "value", -Time)

# Plot all together, color based on User
# We use pretty_breaks() from scales package for automatic Date/Time labeling
ggplot(df_long, aes(Time, value, group = user, color = user)) +
  geom_line() +
  scale_x_datetime(breaks = pretty_breaks()) +
  theme_bw()

要在单独的面板中绘制每个用户，请使用 facet_grid

to plot each user in a separated panel, use facet_grid

ggplot(df_long, aes(Time, value, group = user, color = user)) +
  geom_line() +
  scale_x_datetime(breaks = pretty_breaks()) +
  theme_bw() +
  facet_grid(user ~ .)

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