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

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

我在这里 (Multivariate (polynomial) best fit curve in python?) 上发现了一个问题，我相信它可以回答我的问题，但我无法完全安装 multipolyfit。我使用了有效的“pip install multipolyfit”，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 + 5,8])

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,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()

解决方法

尝试直接从 repo 安装

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