I have posted about this several times. This link and context is the closest thing that I can find that might help me achieve this result. What I need to do is this:

I would like to be able to calculate the integral or ‘area under the curve’ for a given tags history on a chart or easy chart.

This is the clearest that I can state “what I need to achieve”

Below is the closest solution I could find. I need the example to work in ignition or to be able to accomplish the same result in ignition.

matplotlib.org/examples/showcase … _demo.html

“”"

Plot demonstrating the integral as the area under a curve.

Although this is a simple example, it demonstrates some important tweaks:

```
* A simple line plot with custom color and line width.
* A shaded region created using a Polygon patch.
* A text label with mathtext rendering.
* figtext calls to label the x- and y-axes.
* Use of axis spines to hide the top and right spines.
* Custom tick placement and labels.
```

“”"

import numpy as np

import matplotlib.pyplot as plt

from matplotlib.patches import Polygon

def func(x):

return (x - 3) * (x - 5) * (x - 7) + 85

a, b = 2, 9 # integral limits

x = np.linspace(0, 10)

y = func(x)

fig, ax = plt.subplots()

plt.plot(x, y, ‘r’, linewidth=2)

plt.ylim(ymin=0)

# Make the shaded region

ix = np.linspace(a, b)

iy = func(ix)

verts = [(a, 0)] + list(zip(ix, iy)) + [(b, 0)]

poly = Polygon(verts, facecolor=‘0.9’, edgecolor=‘0.5’)

ax.add_patch(poly)

plt.text(0.5 * (a + b), 30, r"$\int_a^b f(x)\mathrm{d}x$",

horizontalalignment=‘center’, fontsize=20)

plt.figtext(0.9, 0.05, ‘$x$’)

plt.figtext(0.1, 0.9, ‘$y$’)

ax.spines[‘right’].set_visible(False)

ax.spines[‘top’].set_visible(False)

ax.xaxis.set_ticks_position(‘bottom’)

ax.set_xticks((a, b))

ax.set_xticklabels((’$a$’, ‘$b$’))

ax.set_yticks([])

plt.show()

Out of this large community and skilled experts at IA I know this is achievable.

Please Help.