Plotting negative values in a left-right matter-CodePudding

I have the following dataframe:

Emotions = {'Student Status': ["Bachelor's Degree", "Master's Degree", "Doctoral Degree"],'ESS': [-0.058816, -0.015943, -0.018041]}
dfEmotions = pd.DataFrame(data=Emotions)

When I plot it:

dfEmotions.plot.barh(xlabel=dfEmotions['Student Status'], figsize=(30,10), legend=True)

I get the following plot:

But I want the plot to have the following attributes:

X-Axis should lead to the right (as for positive values) -> I tried using tick.right() but I think I got the syntax wrong
On the y-axis instead of 0,1,2 there should be the different degrees (I think it takes the indices)
Lastly, the bars should be colored in differently, something like red for the lowest and green for the highest e.g.

Anyone any idea?

Thanks!

CodePudding user response：

You might consider using seaborn.barplot() here. Hope that inverting x-axis was what you wanted:

import pandas as pd
import seaborn as sns

Emotions = {'Student Status': ["Bachelor's Degree", "Master's Degree", "Doctoral Degree"],'ESS': [-0.058816, -0.015943, -0.018041]}
dfEmotions = pd.DataFrame(data=Emotions)
dfEmotions.sort_values(by='ESS', ascending=False, inplace=True)  # sort by ESS
g = sns.barplot(x='ESS', 
                y='Student Status', 
                data=dfEmotions, 
                orient='h',
                palette='RdYlGn_r')  # red-yellow-green-reversed palette
g.invert_xaxis()  # invert x-axis to make bars go right

Output:

CodePudding user response：

You can create the figure in matplotlib by inverting the x-axis and specifying three different colors like this:

import matplotlib.pyplot as plt   

plt.figure()
    plt.barh(dfEmotions['Student Status'], dfEmotions['ESS'], color=['C0', 'C3', 'C2'])
    plt.gca().invert_xaxis()