import json
import sys
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from scipy.optimize import curve_fit
def get_x_y(filename):
with open('Rij_dict.json', 'r', encoding='utf-8') as f:
Rij_dict = json.load(f)
with open(filename, 'r', encoding='utf-8') as f:
Aij_dict = json.load(f)
coordinate_list = []
for k, v in Rij_dict.items():
for i in range(len(v)):
coordinate_tuple = (Rij_dict[k][i], Aij_dict[k][i])
coordinate_list.append(coordinate_tuple)
coordinate_list = [point for point in coordinate_list if point[0] <= 80]
x = [point[0] for point in coordinate_list]
y = [point[1] for point in coordinate_list]
# bin_edges = [num for num in range(0, 81, 0.5)]
bin_edges = np.arange(0, 80.5, 0.5)
bins = pd.cut(x, bins=bin_edges, right=False
curve_fit函数拟合函数
最新推荐文章于 2025-01-09 16:39:49 发布