I have a plot in which some data is represented by a scatter plot with error bars and I want to fit a curve to it. However, no matter where in the code I plot the curve, the error bars float on top of it. I want the fitted curves to display in front of the error bars because otherwise I can't see it.
Here is a simple example of the issue:
import numpy as np
import matplotlib.pyplot as plt
import matplotlib
x = np.arange(1,10)
r = np.random.random(x.size)
fig1, ax = plt.subplots()
ln1 = ax.plot(2*x,x,'g')
ax3 = ax.twinx()
ln2 = ax3.errorbar(x,r,yerr=x,color='red',fmt='o')
ln2fit = ax3.plot(x,r-0.3,'b')
and the plot it produces:
There are two axes because I'm comparing two datasets.
As you can see, even though I plotted the curve above the error bars, the error bars and points still obscure the curve. What can I do to disable this?