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Course Content

Deep Dive into the seaborn Visualization

1. Light Start

Reading the FileColors

2. Distributions of Data

HistplotKdeplotRugplotEcdfplotChallengeDisplot

3. Categorical Plot Types

StripplotSwarmplotBoxplotViolinplotBarplotPointplotChallengeCatplot

4. Matrix Plots

HeatmapClustermap

5. Multi-Plot Grids

FacetGridPairGridJointGrid

6. Regression Models

RegplotLmplot

Deep Dive into the seaborn Visualization

HeatmapHeatmap

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.

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Task

  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.

Everything was clear?

Section 4. Chapter 1
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