增加轴刻度数 [英] Increase number of axis ticks

问题描述

我正在为一些数据生成图表，但刻度数太少，我需要更高的精度读数.

I'm generating plots for some data, but the number of ticks is too small, I need more precision on the reading.

有什么方法可以增加 ggplot2 中的轴刻度数吗?

Is there some way to increase the number of axis ticks in ggplot2?

我知道我可以告诉 ggplot 使用向量作为轴刻度，但我想要的是增加所有数据的刻度数.换句话说，我希望根据数据计算刻度数.

I know I can tell ggplot to use a vector as axis ticks, but what I want is to increase the number of ticks, for all data. In other words, I want the tick number to be calculated from the data.

可能 ggplot 使用某种算法在内部执行此操作，但我找不到它是如何执行的，根据我的需要进行更改.

Possibly ggplot do this internally with some algorithm, but I couldn't find how it does it, to change according to what I want.

推荐答案

您可以通过修改 scale_x_continuous 和/或 scale_y_continuous 来覆盖 ggplots 默认比例.例如:

You can override ggplots default scales by modifying scale_x_continuous and/or scale_y_continuous. For example:

library(ggplot2)
dat <- data.frame(x = rnorm(100), y = rnorm(100))

ggplot(dat, aes(x,y)) +
  geom_point()

给你这个:

覆盖比例可以给你这样的东西:

And overriding the scales can give you something like this:

ggplot(dat, aes(x,y)) +
  geom_point() +
  scale_x_continuous(breaks = round(seq(min(dat$x), max(dat$x), by = 0.5),1)) +
  scale_y_continuous(breaks = round(seq(min(dat$y), max(dat$y), by = 0.5),1))

如果您只想放大"绘图的特定部分，请分别查看 xlim() 和 ylim().也可以在此处找到很好的见解，以了解其他论点.

If you want to simply "zoom" in on a specific part of a plot, look at xlim() and ylim() respectively. Good insight can also be found here to understand the other arguments as well.

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