Multiple Plot Charts with Chartly Examples

Chartly allows users to create multiple plots on the same figure using the overlay and new_subplot methods. The overlay method allows users to overlay multiple plots on a single subplot. The new_subplot method allows users to create a new subplot on the figure.

Overlay Plots

The overlay method allows users to overlay multiple plots on a single subplot. The overlay method requires a dictionary of arguments to be passed to the method. The dictionary should contain the following

• data: The data that will be plotted.

• plot: The type of plot to be created.

Users can also customize and label the plots by including the following keys in the dictionary:

• axes_labels: A dictionary containing the labels of the subplot.

• customs: A dictionary containing the customization options of the plot.

import chartly

# define main figure labels
args = {"super_title": "Overlay Example", "super_xlabel": "X", "super_ylabel": "Y", "share_axes": False}

multi = chartly.Chart(args)

# Define Some Data
data = np.random.normal(loc=2, scale=1, size=1000)

# Create a subplot
multi.new_subplot()

plots = ["histogram", "density"]

for plot in plots:
    # set up overlay payload
    overlay_payload = {"plot": plot, "data": data, "axes_labels": {}}

    # Overlay a histogram
    multi.overlay(overlay_payload)

multi()

Subplots

The new_subplot method allows users to create a new subplot on the figure. The new_subplot method requires no arguments to be passed to the method. When a user is finished creating subplots, they can call the Charts instance to render the figure.

import chartly

# define main figure labels
args = {"super_title": "Subplots Example", "super_xlabel": "X", "super_ylabel": "Y", "share_axes": False}

multi = chartly.Chart(args)

# Define Some Data
data = np.random.normal(loc=0.8, scale=2, size=50)

# Define Plots
plots = ["histogram", "density", "probability_plot", "line_plot", "normal_cdf"]

for plot in plots:
    # Create a subplot
    multi.new_subplot()
    axes_labels = {"xlabel": " ", "ylabel": " ", "title": plot}

    overlay_payload = {"plot": plot, "data": data, "axes_labels": axes_labels}
    multi.overlay(overlay_payload)

multi.overlay(overlay_payload)

multi()