Finding intersection of two graphs with different numpy sizes-CodePudding

I would like to find the intersection of two graphs. It took me 674 points to plot the first graph and only 14 points to plot the second graph.

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

df = pd.read_csv("test1.csv",,skiprows=range(9),names=['A', 'B', 'C','D'])

df2 = pd.read_csv("test2.csv",skiprows=range(1),names=['X','Y'])

x1 = df['A'].tolist()
x1 = np.array(x1)
y1 = df['D'].tolist()
y1 = np.array(y1)
x2 = df2['X'].tolist()
x2 = np.array(x2)
y2 = df2['Y'].tolist()
y2 = np.array(y2)

idx = np.argwhere(np.diff(np.sign(y1 - y2))).flatten()

fig, ax = plt.subplots()

ax.plot(x1, y1, 'blue')
ax.plot(x2, y2, 'red')

plt.show()

However, I am getting this error from the code above due to the different sizes of numpy. Any ways I can solve this?

operands could not be broadcast together with shapes (674,) (14,)

CodePudding user response：

You should compute interpolations of both curves with