How to Change the Y-Axis Figures into Percentages in a Barplot

How to change the y axis to display percent (%) in Python Plotnine barplot?

The labels parameter accepts a callable that takes the list of break points as input. All you have to do is to convert each item in the list manually:

scale_y_continuous(labels=lambda l: ["%d%%" % (v * 100) for v in l])

Calculating with y-axis labels of stacked bar plot (either *4 or into percent)

You could add this to your code:

scale_y_continuous(labels = function(x) paste0((x/max(x))*100, "%"))

For the given example dataset without(event_labels):

How to change y-axis to percentages with ggplot2 in R?

Use function scale_y_continuous(). It have an argument labels. You can provide any function to this argument to convert labels you have to proper ones.

In your case if you want to map interval [-2;2] to [-0.1; 0.1] what you could do:

p <- ggplot(...) + geom_*(...)
p + scale_y_continuous(labels = function(x) paste0(x/20, "%"))

So this function gets each numeric label, divides it by 20 and convert into character.

Hope that's what you are looking for.

ggplot barplot - percentage on y axis

I think you just got your melt wrong.

Try

mdat <- melt(dset.bnull[c(1:2, 5:7)], id.vars=c("id", "group"))

and remove

position=position_dodge(1)

from the geom_bar call.

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Update: From your comment I'm guessing you're comfortable using dplyr. It'll be more intuitive to plot after summarising the data.

plot_data = mdat %>% group_by(group, variable) %>% summarise(total = sum(value))

ggplot(plot_data, aes(fill = group)) +  
  geom_bar(aes(x = variable, 
               y = (total)/sum(total)), 
               stat = "identity", 
               position = "dodge") + 
  scale_y_continuous(labels = percent) + 
  xlab("Referent") + 
  ylab("Percentage of Answers") + 
  guides(fill=guide_legend(title="Experimental \nGroup"))

How to change y axis from count to prop?

Try this:

ggplot(mtcars, aes(x = cyl)) + 
  geom_bar(aes(y = ..prop..), fill = "steelblue", stat = "count") +
  geom_text(aes(label = scales::percent(..prop..), y = ..prop.. ), stat= "count", vjust = -.5) + 
  ylim(0, 0.5) + 
  ylab("") +
  theme_minimal() + 
  theme(aspect.ratio = 1.5)

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Edit: if you want a factor on x axis try

ggplot(mtcars, aes(x = factor(cyl))) + 
  geom_bar(aes(y = (..count..)/sum(..count..)), fill = "steelblue", stat = "count") +
  geom_text(aes(label = scales::percent(round((..count..)/sum(..count..), 2)),
                y = ((..count..)/sum(..count..))), stat = "count", vjust = -.25) + 
  ylim(0, 0.5) + 
  ylab("") +
  theme_minimal() + 
  theme(aspect.ratio = 1.5)

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Edit2: with the GGally package you can use:

ggplot(mtcars, aes(x = factor(cyl), by = 1)) +
  geom_bar(aes(y = ..prop..), fill = "steelblue", stat = "prop") +
  geom_text(aes(label = scales::percent(..prop..), y = ..prop.. ), stat = "prop", vjust = -.5) + 
  ylim(0, 0.5) + 
  ylab("") +
  theme_minimal() + 
  theme(aspect.ratio = 1.5)

Format y axis as percent

This is a few months late, but I have created PR#6251 with matplotlib to add a new PercentFormatter class. With this class you just need one line to reformat your axis (two if you count the import of matplotlib.ticker):

import ...
import matplotlib.ticker as mtick

ax = df['myvar'].plot(kind='bar')
ax.yaxis.set_major_formatter(mtick.PercentFormatter())

PercentFormatter() accepts three arguments, xmax, decimals, symbol. xmax allows you to set the value that corresponds to 100% on the axis. This is nice if you have data from 0.0 to 1.0 and you want to display it from 0% to 100%. Just do PercentFormatter(1.0).

The other two parameters allow you to set the number of digits after the decimal point and the symbol. They default to None and '%', respectively. decimals=None will automatically set the number of decimal points based on how much of the axes you are showing.

Update

PercentFormatter was introduced into Matplotlib proper in version 2.1.0.

Displaying percentages on Y-axis

My previous answer was a bit messy given edits.

Here is a fresh self-contained answer based on nicelabels (on SSC since 10 May 2022) and mylabels (on SSC for some while, perhaps 2003).

Let's start by noting that adding % signs is not part of any official display format. So, we have to do it in our own code.

clear
input yr v1
2005 77.01
2006 84.01
2007 83.01
2008 85.01
2009 86.01
2010 83.01
2011 98.01
2012 80.01
2013 79.01
end

nicelabels v1, local(yla)
if wordcount("`yla'") < 5 nicelabels v1, local(yla) nvals(10)
mylabels `yla', suffix(%) local(yla) 

twoway connected v1 yr , yla(`yla')

So nicelabels is asked to suggest nice labels for v1. If the number suggested is < 5 it is told to try again. Once those labels exist, they are pushed through mylabels for adding % to each. The process needs no user intervention.

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