CODEWITHSUNDEEP
pythonpython-3.xmatplotlibseaborn
BeeGee
BeeGee

Reputation: 875

Seaborn BarPlot invert y axis and keep x axis on bottom of chart area

In Excel, I can take a graph that looks like this: enter image description here

And make it look like this:

enter image description here

By inverting the Y axis and setting "Horizontal Axis Crosses" to "max".

I would like to do this same thing in Seaborn. I can flip the y_axis using .invert_yaxis() but I am unable to keep the bars on the bottom of the chart like I can in Excel.

import seaborn as sns
barplot = sns.barplot(x='abc'
                      ,y='def'
                      ,data=df
                      ,ci=None
                      )
barplot.invert_yaxis()
barplot.figure

Which produces something like this: enter image description here

How can I move the bars from starting at the top, to starting at the bottom?

I am using Python 3.6 and seaborn 0.7.1

My question seems similar to this one but this question is unclear and has no answer: Pyplot - Invert Y labels without inverting bar chart

Upvotes: 9

Views: 17454

Answers (2)

Tanachat
Tanachat

Reputation: 1548

I found out that you can simply do:

plt.ylim(reversed(plt.ylim()))

which allows you to keep using Seaborn.

Upvotes: 7

ImportanceOfBeingErnest
ImportanceOfBeingErnest

Reputation: 339210

seaborn.barplot is a wrapper for pyplot.bar and you may use pyplot.bar to create the plot with an inverted yaxis and bars that range from the bottom of the chart to a lower value up the y axis:

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

df = pd.DataFrame({"x":range(5), "y": [1,1.2,1.4,1.6,1.8]})

plt.bar(df.x, 2*np.ones(len(df))-df.y, bottom= df.y )
plt.gca().invert_yaxis()
plt.ylim(2,0)
plt.show()

enter image description here

Upvotes: 6

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