feat: Integrate Matplotlib

[hpohekar]

closes #132

Basic usage

import matplotlib.pyplot as plt
from ansys.units import Quantity

x_quantity = Quantity([1, 2, 3], "m")
y_quantity = Quantity([4, 5, 6], "kg")
fig, ax = plt.subplots()
ax.plot(x_quantity, y_quantity)
plt.show()

Example usage with numpy arrays

import matplotlib.pyplot as plt
import numpy as np
from ansys.units import Quantity, UnitRegistry

ureg = UnitRegistry()

y = Quantity(value=np.linspace(0, 30), units=ureg.m)
x = Quantity(value=np.linspace(0, 5), units=ureg.kg)
fig, ax = plt.subplots()
ax.plot(x, y)
ax.axhline(Quantity(10, ureg.m).value, color="tab:red")
ax.axvline(Quantity(2, ureg.kg).value, color="tab:green")
plt.show()

Example usage with numpy arrays and no units

import matplotlib.pyplot as plt
import numpy as np
from ansys.units import Quantity, UnitRegistry

ureg = UnitRegistry()

y = Quantity(value=np.linspace(0, 30))
x = Quantity(value=np.linspace(0, 5))
fig, ax = plt.subplots()
ax.plot(x, y)
ax.axhline(Quantity(10, ureg.m).value, color="tab:red")
ax.axvline(Quantity(2, ureg.kg).value, color="tab:green")
plt.show()

[seanpearsonuk]

@hpohekar It appears that the PR introduces a new custom QuantityPlotter instead of making Quantity objects natively plottable.

Matplotlib will not automatically recognize Quantity objects when passed to plot().

Note that matplotlib has a built-in way of handling units (via matplotlib.units. See matplotlib.units.ConversionInterface).

[hpohekar]

@hpohekar It appears that the PR introduces a new custom QuantityPlotter instead of making Quantity objects natively plottable.

Matplotlib will not automatically recognize Quantity objects when passed to plot().

Note that matplotlib has a built-in way of handling units (via matplotlib.units. See matplotlib.units.ConversionInterface).

@seanpearsonuk

Yes, understood. I will push the changes soon. Thank you.

q1 = Quantity([1, 2, 3], 'm')
q2 = Quantity([4, 5, 6], 'kg')

import matplotlib.pyplot as plt

plt.plot(q1, q2)
plt.show()