Plotting dataframe in Python with Matplotlib - Horizontal Bar Chart

Question

this is my first question on the forum.

I am using Pandas to read a.dta database. In this database, I have the answers to a survey carried out in different years. In this case 2011-2012-2013-2014.

What I want to do is a horizontal bar chart with the crossing of two variables, but that the result for each year is seen in the same chart, instead of making a chart for each of the years that the survey was conducted.

Is this possible to do with Matplotlib?

Thank you all very much in advance.

Answer 1

you can plot your graph horizontally by using this code

import matplotlib.pyplot as plt
import numpy as np

# Fixing random state for reproducibility
np.random.seed(19680801)


plt.rcdefaults()
fig, ax = plt.subplots()

# Example data
people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')
y_pos = np.arange(len(people))
performance = 3 + 10 * np.random.rand(len(people))
error = np.random.rand(len(people))

ax.barh(y_pos, performance, xerr=error, align='center')
ax.set_yticks(y_pos)
ax.set_yticklabels(people)
ax.invert_yaxis()  # labels read top-to-bottom
ax.set_xlabel('Performance')
ax.set_title('How fast do you want to go today?')

plt.show()
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Answer 2

Welcome to stackoverflow my friend. As an advice, it would be better you show a piece of your data frame. I created a dummy dataframe like this;

First, you need to turn your year variable to categorical(just an advice)

df["Year"] = df["Year"].astype('category')

Then I used this piece of code

ax = df.plot(x="Year", y="Var1", kind="bar")
df.plot(x="Year", y="Var2", kind="bar", ax=ax, color="C2")

the output is like this