Pandas & Data Analysis·Pandas from first Series to analysis project

Visualisation

Plot from Pandas and choose the chart that answers the question.

Beginner 13 min read Lesson 9 of 300 Challenge included

What you will be able to do

Use df.plot for quick charts.
Choose bars for categories and lines for time.
Label axes and units.
Export at a readable size.

In plain English

A chart is an argument. A bar chart compares categories, a line chart shows change over time and a histogram shows a distribution. Label the axes and keep the palette restrained.

chart.pyPython

import pandas as pd
import matplotlib.pyplot as plt

df = pd.DataFrame({'course': ['HTML', 'CSS', 'SQL'], 'minutes': [12, 18, 9]})
ax = df.plot.bar(x='course', y='minutes', legend=False)
ax.set_ylabel('Minutes')
plt.tight_layout()
plt.savefig('minutes.png', dpi=150)

Your turn

Make a bar chart

Easy

Plot minutes by course as a bar chart without a legend.

PYTHON · starter

df.plot()

Check your understanding before moving on.

Knowledge checkQuestion 1

Which chart best shows a trend over time?

Select an answer to continue

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