Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Lära Line Plots | Gaining Insights with Data Visualization
Gaining Insights with Data Visualization
course content

Kursinnehåll

Gaining Insights with Data Visualization

book
Line Plots

A line plot is a graphical representation of data that displays information along a number line. It consists of a series of points plotted on a graph, where the x-axis typically represents the independent variable, and the y-axis represents the dependent variable.

Line plots are particularly useful for displaying trends in data over time or across different categories. They are often used to visualize stock prices or weather patterns, and to compare the values of different variables, like sales volumes across various products or the performance of different sports teams. These trends or patterns can aid in making predictions about future values.

In Python, line plots can be created using the plot() function from the matplotlib.pyplot module.

Uppgift

Swipe to start coding

  1. Import the pyplot module of the matplotlib library with the plt alias.
  2. Generate a random array of 1000 elements (1000 x 1 array) called values using numpy.
  3. Create a single line plot based on the values array.
  4. Generate a second random array of 1000 elements called values1 using numpy.
  5. Create a second line plot based on the values1 array.

Lösning

Mark tasks as Completed
Switch to desktopByt till skrivbordet för praktisk övningFortsätt där du är med ett av alternativen nedan
Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 1. Kapitel 3
AVAILABLE TO ULTIMATE ONLY
Vi beklagar att något gick fel. Vad hände?
some-alt