from matplotlib import pylab as plt
from ._lephare import flt
from ._utils import continueClass
__all__ = [
"flt",
]
@continueClass
[docs]
class flt: # noqa
[docs]
def plot_filter_curve(self, normed=False):
filter_name = self.name
plt.title(filter_name)
plt.xlabel("wavelength")
plt.ylabel("value")
x = self.data()[0]
y = self.data()[1]
if normed:
y /= y.max()
plt.plot(x, y, label="curve")
plt.plot([self.lambdaMean(), self.lambdaMean()], [0.9 * y.min(), 1.1 * y.max()], label="lambda mean")
plt.plot([self.lambdaEff(), self.lambdaEff()], [0.9 * y.min(), 1.1 * y.max()], label="lambda eff")
plt.legend()