python股票分析程序

本文主要是介绍python股票分析程序，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

import pandas as pd
import numpy as np
#input
stock = pd.read_csv('C:/Users/华硕/Desktop/沪深Ａ股2020020.csv',encoding='GBK')
stock=stock.replace('--  ','0')
stock=stock.fillna('0')
print(stock)#y
y = stock['涨幅%']
print(y.shape)#X
features = stock.loc[:,'现价':'量比']
X = features.values
print(X.shape)#MLP
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import RobustScaler
from sklearn.neural_network import MLPRegressor
mlpr=MLPRegressor(random_state=62, hidden_layer_sizes=(100,100),alpha=0.001)
X_train, X_test, y_train, y_test=train_test_split(X,y,random_state=62)
scaler = RobustScaler()
scaler.fit(X_train)
X_train_scaled = scaler.transform(X_train)
X_test_scaled = scaler.transform(X_test)
mlpr.fit(X_train_scaled, y_train)
print('模型准确率&#x

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