计算参数时出错（不支持的操作数类型）

Question

我正在为我的小型数据科学项目计算线性回归。

import numpy as np

# I'm using the idea from https://devarea.com/linear-regression-with-numpy/#.XRfdcegzaUk
class LinearRegression:
    def __init__(self, values):
        self.y = np.array(values)
        self.x = np.array([number for number in range(1, len(values)+1)])
        self.values_to_return = []

    def getlinear(self, x1):
        # Function that returns value
        def inner(x1):
            return self.m * x1 + self.b

        self.m = (len(self.x) * np.sum(self.x*self.y) - np.sum(self.x) * np.sum(self.y)) / (len(self.x)*np.sum(self.x*self.x) - np.sum(self.x) * np.sum(self.x))
        self.b = (np.sum(self.y) - self.m*np.sum(self.x)) / len(self.x)

        return inner

当将list（Dictionary.values（））传递到我得到的类中时

回溯（最近的调用为last）：文件“C://users/paweé/documents/projects vscode/worldbankdatakeras/tests.py”，第41行，在graph.plot_graph_renewable_electricity_status()文件“C:\users\paweé\documents\projects vscode\worldbankdatakeras\graph_plotting.py”，第115行，在plot_graph_renewable_electricity_status linestyle='-')文件“Wargs）文件”C:\users\pawe\\appdata\local\programs\python\python37\lib\site-packages\matplotlib\axes_axes.py“,第1612行，在plot self.add_line(line)文件”update_line_limits path=line.get_path()文件“C:\users\pawe\\appdata\local\programs\python\python37\lib\site-packages\matplotlib\lines.py“,第945行，在get_path self.recache（）文件”C:\users\pawe\appdata\local\programs\python\python37\lib\site-packages\matplotlib\lines.py“中，第645行，在recache y=_to_unmasked_float_array(yconv).ravel()文件”在）文件“C:\users\pawe\appdata\local\programs\python\python37\lib\site-packages\numpy\core\numeric.py”,第538行，在asarray返回array（a,dtype,copy=false,order=order)typeerror：float（）参数必须是字符串或数字，而不是function

编辑2：

class CountryInformations:

    def __init__(self, name):
        self.name = name

        xls_parsing = xls_parse.XLSParsing(self.name)

        self.population = xls_parsing.import_country_population()
        self.co2_emissions = xls_parsing.import_country_co2_emissions()
        self.renewable_electricity_status = xls_parsing.import_country_renewable_electricity_status()

        # I want to have linear regression values in format [year] : value
        self.population_linear_regression = self.population.copy()
        self.co2_emissions_linear_regression = self.co2_emissions.copy()
        self.renewable_electricity_status_linear_regression = self.renewable_electricity_status.copy()

        linear = linear_regr.LinearRegression(list(self.population_linear_regression.values()))
        # Replacing values in dict by values from linear regression
        self.population_linear_regression = dict.fromkeys(self.population_linear_regression,
                                                          linear.return_values_of_linear_regression())

        linear = linear_regr.LinearRegression(list(self.co2_emissions_linear_regression.values()))
        # Replacing values in dict by values from linear regression
        self.co2_emissions_linear_regression = dict.fromkeys(self.co2_emissions_linear_regression,
                                                             linear.return_values_of_linear_regression())

        linear = linear_regr.LinearRegression(list(self.renewable_electricity_status_linear_regression.values()))
        # Replacing values in dict by values from linear regression
        self.renewable_electricity_status_linear_regression = dict.fromkeys(self.renewable_electricity_status_linear_regression, 
                                                                            linear.return_values_of_linear_regression())

    def __str__(self):
        print_string = 'Country: {} \n \
                        Population: {}M \n \
                        CO2 Emissions: {}KT \n \
                        Renewable Electricity Status: {}%'.format(self.name, \
                                                                  self.population, \
                                                                  self.co2_emissions, \
                                                                  self.renewable_electricity_status)
        return print_string

Answer 1

我通过删除内部函数解决了这个问题。我不知道为什么它会这样做

def getlinear(self, x1):

    self.m = (len(self.x) * np.sum(self.x*self.y) - np.sum(self.x) * np.sum(self.y)) / (len(self.x)*np.sum(self.x*self.x) - np.sum(self.x) * np.sum(self.x))
    self.b = (np.sum(self.y) - self.m*np.sum(self.x)) / len(self.x)

    return self.m * x1 + self.b

谢谢你帮助大家