I am plotting data as a Seaborn heatmap in Python. My data is intrinsically grouped into categories, and I'd like to have lines on the plot to indicate where the groups lie on the map. As a simple example, suppose I wanted to modify this plot from the documentation...
import seaborn as sns; sns.set()
flights = sns.load_dataset("flights")
flights = flights.pivot("month", "year", "passengers")
ax = sns.heatmap(flights, cbar=False)
Where I wanted to emphasize the comparisons between quarters of the year by making a plot like the one below; how would I do that?
You can customize the colors in your heatmap with the cmap parameter of the heatmap() function in seaborn. The following examples show the appearences of different sequential color palettes.
The annot only help to add numeric value on python heatmap cell but fmt parameter allows to add string (text) values on the cell. Here, we created a 2D numpy array which contains string values and passes to annot along with that pass a string value “s” to fmt.
You want ax.hlines
:
ax.hlines([3, 6, 9], *ax.get_xlim())
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With