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Plots

MecSimCalc supports the two most popular plotting libraries:

  1. Matplotlib
  2. Plotly

Matplotlib

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

Visit matplotlib.org for full documentation on how to use Matplotlib:

Once your Matplotlib figure is ready to be displayed, convert it to a HTML string using the mecsimcalc library as follows:

Code

import matplotlib.pyplot as plt
import numpy as np
import mecsimcalc as msc


def main(inputs):
# Create matplotlib figure
x = np.arange(0, 2, 0.01)
y = 2*(np.cos(4*x))
plt.plot(x, y)

# Convert figure to html using msc.print_plot()
plot_html = msc.print_plot(plt)
return {"plot": plot_html}

Output

{{ outputs.plot }}

See Example 2 in the introduction section for a detailed example on using Matplotlib.

Plotly

Plotly's Python graphing library makes interactive, publication-quality graphs.

Visit plotly.com/python for full documentation on how to use Plotly:

Once your Plotly figure is ready to be displayed, convert it to a HTML string that can be embedded into the outputs step. As follows:

Code

import plotly.express as px
import pandas as pd
import numpy as np


def main(inputs):
# Create plotly figure
x = np.arange(0, 2, 0.01)
y = 2*(np.cos(4*x))
fig = px.line(x, y, title="Cosine")

# Convert figure to html using to_html()
plot_html = fig.to_html(include_plotlyjs=True, full_html=False)
return {"plot": plot_html}
caution

In .to_html(), include_plotlyjs must be set to True for the plot to be displayed.

Output

{{ outputs.plot }}