ModuleNotFoundError：使用 pip 安装 multipolyfit 时没有名为“core”的模块

Question

我在这里 (Multivariate (polynomial) best fit curve in python?) 发现了一个问题，我相信它会回答我的问题，但我无法完全安装 multipolyfit。我使用了“pip install multipolyfit”，它有效，但是当我运行这个脚本时，我得到一个回溯说

追溯

"from core import multipolyfit, mk_model, mk_sympy_function
ModuleNotFoundError: No module named 'core'"

代码

import os
import csv
import pandas as pd
print('\n'*2)
import re
import matplotlib
import multipolyfit as mpf
from matplotlib.figure import Figure
from matplotlib import style
import numpy as np
import math
import matplotlib.pyplot as plt
from matplotlib.legend_handler import HandlerLine2D
from scipy.stats import linregress

x = [190,195,200,205,210,215,220,225,230,235,240,245,250,255,260,265,270,275,280,285,290]
av_50 = [5.045, 5.05, 5.115, 5.23, 5.355, 5.42, 5.59, 5.77, 5.855, 5.8, 5.745, 5.725, 5.795, 5.835, 5.81, 5.73, 5.675, 5.65, 5.63, 5.555, 5.405]

def min_max_values(num_list):
    results_list = sorted(num_list)
    return results_list[0], results_list[-1]

min_x, max_x = min_max_values(x)

# Plotting
plt.axis([min_x - 5, max_x + 5, 0, 8])

x = np.array(x)
y = np.array(av_50)
plt.plot(x, y, 'kx')

stacked_x = numpy.array([x,x+1,x-1])
coeffs = mpf(stacked_x, y, deg) 
x2 = numpy.arange(min(x)-1, max(x)+1, .01) #use more points for a smoother plot
y2 = numpy.polyval(coeffs, x2) #Evaluates the polynomial for each x2 value
plt.plot(x2, y2, label="deg=3")

plt.show()

Answer 1

尝试直接从 repo 安装

git clone https://github.com/mrocklin/multipolyfit.git
cd multipolyfit
pip install -e .