在 ggplot2 中的 X 轴上格式化日期 [英] Formatting dates on X axis in ggplot2

问题描述

我很难让 x 轴在我的图表中看起来正确.

I'm having a very, very tough time getting the x-axis to look correct for my graphs.

这是我的数据(通过 dput() 生成):

Here is my data (generated via dput()):

df <- structure(list(Month = structure(1:12, .Label = c("2011-07-31", "2011-08-31", "2011-09-30", "2011-10-31", "2011-11-30", "2011-12-31", "2012-01-31", "2012-02-29", "2012-03-31", "2012-04-30", "2012-05-31", "2012-06-30"), class = "factor"), AvgVisits = c(6.98655104580674,7.66045407330464, 7.69761337479304, 7.54387561322994, 7.24483848458728, 6.32001400498928, 6.66794871794872, 7.207780853854, 7.60281201431308, 6.70113837397123, 6.57634103019538, 6.75321935568936)), .Names = c("Month","AvgVisits"), row.names = c(NA, -12L), class = "data.frame")

这是我要绘制的图表:

ggplot(df, aes(x = Month, y = AvgVisits)) + 
  geom_bar() +
  theme_bw() +
  labs(x = "Month", y = "Average Visits per User")

该图表工作正常 - 但是，如果我想调整日期的格式，我相信我应该添加以下内容:scale_x_date(labels = date_format("%m-%Y"))

That chart works fine - but, if I want to adjust the formatting of the date, I believe I should add this: scale_x_date(labels = date_format("%m-%Y"))

我正在努力使日期标签为MMM-YYYY"

I'm trying to make it so the date labels are 'MMM-YYYY'

ggplot(df, aes(x = Month, y = AvgVisits)) + 
  geom_bar() +
  theme_bw() +
  labs(x = "Month", y = "Average Visits per User") +
  scale_x_date(labels = date_format("%m-%Y"))

当我绘制它时，我继续收到此错误:

When I plot that, I continue to get this error:

stat_bin:binwidth 默认为 range/30.使用 'binwidth = x' 来调整它.

尽管对 geom_line 和 geom_bar 的格式进行了数小时的研究，我还是无法修复它.谁能解释我做错了什么?

Despite hours of research on formatting of geom_line and geom_bar, I can't fix it. Can anyone explain what I'm doing wrong?

作为后续想法:您可以使用日期作为一个因素，还是应该在日期列上使用 as.Date?

As a follow-up thought: Can you use date as a factor, or should you use as.Date on a date column?

推荐答案

你能用日期作为一个因素吗?

Can you use date as a factor?

是的，但您可能不应该这样做.

Yes, but you probably shouldn't.

...或者你应该在日期列上使用 as.Date 吗?

...or should you use as.Date on a date column?

是的.

导致我们这样做:

library(scales)
df$Month <- as.Date(df$Month)
ggplot(df, aes(x = Month, y = AvgVisits)) + 
  geom_bar(stat = "identity") +
  theme_bw() +
  labs(x = "Month", y = "Average Visits per User") +
  scale_x_date(labels = date_format("%m-%Y"))

其中我已将 stat = "identity" 添加到您的 geom_bar 调用中.

in which I've added stat = "identity" to your geom_bar call.

此外，有关 binwidth 的消息不是错误.错误实际上会在其中说错误"，同样，警告总是会在其中说警告".否则，它只是一条消息.

In addition, the message about the binwidth wasn't an error. An error will actually say "Error" in it, and similarly a warning will always say "Warning" in it. Otherwise it's just a message.

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