AnalysisCustomPlotΒΆ

Build two custom plots and add them to an analysis. Custom plot functionality is currently in beta.

Create a connection to Eureqa:

from eureqa import Eureqa
from eureqa.analysis_cards import Plot

e = Eureqa(url="https://rds.nutonian.com", user_name="user@nutonian.com", password="password")

Create a plot with three components. The X and Y positions for these components are specified directly using Python lists.

plot = Plot()
plot.plot([1,2,3], [4,5,6], color='blue', line_width=3, legend_label='Label 1')
plot.plot([11,22,33], [44,55,66], style='o', legend_label='Label 2', color='red', circle_radius=7)
plot.plot([10,11,12], [13,14,15], line_width=5, color='orange')
plot_card = analysis.create_custom_plot_card(plot, 'My First Plot', 'This card contains my custom plot with data from Python.')

Create a second plot with two components. The X and Y positions for these components come from variables within a Eureqa data source. The “<row>” variable is the row number from the data source.

datasource = eureqa.create_data_source('Nutrition Data', 'Nutrition.csv')
plot2 = Plot(width='500px', height='500px', x_axis_label='x axis label', y_axis_label='y axis label')
plot2.plot('<row>', 'Calories', datasource=datasource, style='-o', line_width=3, circle_radius=5, color='blue', legend_label='Calories')
plot2.plot('<row>', '30*(Fat (g))', datasource=datasource, style='-o', line_width=3, circle_radius=5, color='red', legend_label='30*(Fat (g))')
plot_card_2 = analysis.create_custom_plot_card(plot2, 'My Second Plot - Nutrition Data', 'This plot contains data from my Nutrition dataset.')

Log into Eureqa and navigate to the Analysis area to view the custom plots.