Your First Plot

Part of the Data and Plots section of Coddy's Machine Learning journey. Lesson 4 of 60.

A list of numbers hides its story. A chart tells it at a glance:

A line chart of 5 hourly temperatures that climbs from 12 to 22 degrees at hour 4, then dips to 20

Four lines of code drew it:

import matplotlib.pyplot as plt

hours = [1, 2, 3, 4, 5]
temps = [12, 15, 19, 22, 20]
plt.plot(hours, temps)
plt.show()

plt.plot(x, y) pairs each x with its y and joins the dots. plt.show() sends the chart to the Plots tab.

Challenge

Easy

A sunflower was measured every week. heights holds weeks 1 to 6, in centimeters.

Yours should look like this one, a tomato plant's:

A line chart climbing from 3 cm in week 1 to 16 cm in week 6

Coddy checks your chart and describes it in the output.

Try it yourself

heights = [2, 5, 9, 14, 18, 21]

# Write your code below

Test yourself

This lesson includes a short quiz. Start the lesson to answer it and track your progress.

All lessons in Data and Plots

1Introduction

4Shaping Data

7pandas DataFrames

10Plotting DataFrames

2NumPy Arrays

5Line and Scatter Plots

8Filtering and Sorting

11Datasets for ML

3Array Math

6Charts for Data

9Grouping and Cleaning

12Final Challenges