I have a timeseries that looks like this:
import matplotlib.pyplot as plt
import numpy as np
data = [
0.0320312479743734,
0.029813902801834047,
0.029573831125162542,
0.018995469145011157,
0.027841876726597548,
0.041286583291366696,
0.04001532797701657,
0.036066913162358105,
0.05553811206482351,
0.019244458235334605,
0.0350094516761601,
0.025880977045744658,
0.00444492106908001,
0.021624276996590197,
0.024681835202500224,
0.020811115973629057,
0.022745881869923323,
0.03943057672586292,
0.025860359892249107,
0.020410736033227295
]
plt.plot(data)
How, in python, can I create the inverse of this line and plot it? By inverse, I mean something like this (please ignore the y-axis, it should be identical to the first one but I just vertically flipped the image for demonstration):
I do not mean the plot the line that is the opposite absolute distance, like this:
Not sure if there is a nifty numpy
function for this, but you can do:
inverse = np.array(data)
inverse = inverse.max() - (inverse - inverse.min())
plt.plot(inverse)
Over the original data: