Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Lære Heatmap | Matrix Plots
Deep Dive into the seaborn Visualization

Stryg for at vise menuen

book
Heatmap

A heatmap is a plot of rectangular data as a color-encoded matrix. As a parameter, it takes a 2D dataset. That dataset can be coerced into an ndarray.

This is a great way to visualize data because it can show the relation between variables, including time. For instance, the number of flights through the years.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img
Opgave

Swipe to start coding

  1. Set the 'ticks' style with the 'seagreen' figure.facecolor.
  2. Create the heatmap using the seaborn library:
  • Add the data for the heatmap. You only need to input the name of the DataFrame (without data = ...);
  • Set the 'viridis' cmap parameter;
  • Add the annot parameter;
  • Set the fmt parameter equals the '0.99g';
  • Set the linecolor parameter equals the 'plum';
  • Display the plot.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 4. Kapitel 1
Vi beklager, at noget gik galt. Hvad skete der?

Spørg AI

expand
ChatGPT

Spørg om hvad som helst eller prøv et af de foreslåede spørgsmål for at starte vores chat

book
Heatmap

A heatmap is a plot of rectangular data as a color-encoded matrix. As a parameter, it takes a 2D dataset. That dataset can be coerced into an ndarray.

This is a great way to visualize data because it can show the relation between variables, including time. For instance, the number of flights through the years.

carousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-imgcarousel-img
Opgave

Swipe to start coding

  1. Set the 'ticks' style with the 'seagreen' figure.facecolor.
  2. Create the heatmap using the seaborn library:
  • Add the data for the heatmap. You only need to input the name of the DataFrame (without data = ...);
  • Set the 'viridis' cmap parameter;
  • Add the annot parameter;
  • Set the fmt parameter equals the '0.99g';
  • Set the linecolor parameter equals the 'plum';
  • Display the plot.

Løsning

Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Var alt klart?

Hvordan kan vi forbedre det?

Tak for dine kommentarer!

Sektion 4. Kapitel 1
Switch to desktopSkift til skrivebord for at øve i den virkelige verdenFortsæt der, hvor du er, med en af nedenstående muligheder
Vi beklager, at noget gik galt. Hvad skete der?
some-alt