Course Content
Deep Dive into the seaborn Visualization
Deep Dive into the seaborn Visualization
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.
Swipe to start coding
- Set the
'ticks'style with the'seagreen'figure.facecolor. - Create the
heatmapusing theseabornlibrary:
- Add the data for the
heatmap. You only need to input the name of the DataFrame (withoutdata = ...); - Set the
'viridis'cmapparameter; - Add the
annotparameter; - Set the
fmtparameter equals the'0.99g'; - Set the
linecolorparameter equals the'plum'; - Display the plot.
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
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.
Swipe to start coding
- Set the
'ticks'style with the'seagreen'figure.facecolor. - Create the
heatmapusing theseabornlibrary:
- Add the data for the
heatmap. You only need to input the name of the DataFrame (withoutdata = ...); - Set the
'viridis'cmapparameter; - Add the
annotparameter; - Set the
fmtparameter equals the'0.99g'; - Set the
linecolorparameter equals the'plum'; - Display the plot.
Solution
Switch to desktop for real-world practiceContinue from where you are using one of the options belowThanks for your feedback!
Switch to desktop for real-world practiceContinue from where you are using one of the options below