Quarto Examples

Placing Colorbars

Colorbars indicate the quantitative extent of image data. Placing in a figure is non-trivial because room needs to be made for them. The simplest case is just attaching a colorbar to each axes:¹.

¹ See the Matplotlib Gallery to explore colorbars further

Code

import matplotlib.pyplot as plt
import numpy as np

fig, axs = plt.subplots(2, 2)
fig.set_size_inches(20, 8)
cmaps = ['RdBu_r', 'viridis']
for col in range(2):
    for row in range(2):
        ax = axs[row, col]
        pcm = ax.pcolormesh(
          np.random.random((20, 20)) * (col + 1),
          cmap=cmaps[col]
        )
        fig.colorbar(pcm, ax=ax)
plt.show()

Interactivity with maps

Quarto allows interactivity with maps:

from ipyleaflet import Map, Marker, basemaps, basemap_to_tiles
m = Map(
  basemap=basemap_to_tiles(
    basemaps.NASAGIBS.ModisTerraTrueColorCR, "2017-04-08"
  ),
  center=(52.204793, 360.121558),
  zoom=4
)
m.add_layer(Marker(location=(52.204793, 360.121558)))
m

Content in the margins

Quarto allows to put content to the margins:

import numpy as np
import matplotlib.pyplot as plt

r = np.arange(0, 2, 0.01)
theta = 2 * np.pi * r
fig, ax = plt.subplots(
  subplot_kw = {'projection': 'polar'} 
)
ax.plot(theta, r)
ax.set_rticks([0.5, 1, 1.5, 2])
ax.grid(True)
plt.show()

Figure 1: MPG vs horsepower, colored by transmission.

Interactive data exploring

ObservableJS renders interactive data plots:

Code

viewof bill_length_min = Inputs.range(
  [32, 50], 
  {value: 35, step: 1, label: "Bill length (min):"}
)
viewof islands = Inputs.checkbox(
  ["Torgersen", "Biscoe", "Dream"], 
  { value: ["Torgersen", "Biscoe"], 
    label: "Islands:"
  }
)

Plot

Code

Plot.rectY(filtered, 
  Plot.binX(
    {y: "count"}, 
    {x: "body_mass", fill: "species", thresholds: 20}
  ))
  .plot({
    facet: {
      data: filtered,
      x: "sex",
      y: "species",
      marginRight: 80
    },
    marks: [
      Plot.frame(),
    ]
  }
)

Data

Code

data = FileAttachment("palmer-penguins.csv").csv({ typed: true })

filtered = data.filter(function(penguin) {
  return bill_length_min < penguin.bill_length &&
         islands.includes(penguin.island);
})
Inputs.table(filtered)