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이 스크립트를 작동 시키려고하지만 터미널에서 실행할 때마다 스크립트가 실행 중이더라도 렌더링되지 않습니다. Qt5Agg 백엔드를 사용하여 matplotlib 그래프를 렌더링 할 수 없습니다.
나는 윈도우 10 컴퓨터에pip install Qt5Agg
난을 사용하여 Qt5Agg를 설치했습니다.
파이썬 3.5를 사용합니다.
터미널에 오류가 없습니다.
스크립트에 필요한 모든 종속성이 있습니다. 모든
import csv
import numpy as np
from sklearn.svm import SVR
import matplotlib.pyplot as plt
plt.switch_backend('Qt5Agg')
dates = []
prices = []
def get_data(filename):
with open(filename, 'r') as csvfile:
csvFileReader = csv.reader(csvfile)
next(csvFileReader) # skipping column names
for row in csvFileReader:
dates.append(int(row[0].split('-')[0]))
prices.append(float(row[1]))
return
def predict_price(dates, prices, x):
dates = np.reshape(dates,(len(dates), 1)) # converting to matrix of n X 1
svr_lin = SVR(kernel= 'linear', C= 1e3)
svr_poly = SVR(kernel= 'poly', C= 1e3, degree= 2)
svr_rbf = SVR(kernel= 'rbf', C= 1e3, gamma= 0.1) # defining the support vector regression models
svr_rbf.fit(dates, prices) # fitting the data points in the models
svr_lin.fit(dates, prices)
svr_poly.fit(dates, prices)
plt.scatter(dates, prices, color= 'black', label= 'Data') # plotting the initial datapoints
plt.plot(dates, svr_rbf.predict(dates), color= 'red', label= 'RBF model') # plotting the line made by the RBF kernel
plt.plot(dates,svr_lin.predict(dates), color= 'green', label= 'Linear model') # plotting the line made by linear kernel
plt.plot(dates,svr_poly.predict(dates), color= 'blue', label= 'Polynomial model') # plotting the line made by polynomial kernel
plt.xlabel('Date')
plt.ylabel('Price')
plt.title('Support Vector Regression')
plt.legend()
plt.show()
return svr_rbf.predict(x)[0], svr_lin.predict(x)[0], svr_poly.predict(x)[0]
get_data('deutch.csv') # calling get_data method by passing the csv file to it
#print "Dates- ", dates
#print "Prices- ", prices
predicted_price = predict_price(dates, prices, 40)
print(predicted_price)