Wsrtjtyk

I am trying to predict the price as well as plot to visualize the data. But there is an error that I am not able to figure it out.

dates=

prices=



def getdata(filename):

    with open(filename,'r') as csvfile:

        csvFilereader=csv.reader(csvfile)

        next(csvFilereader)

        for row in csvFilereader:



            dates.append(int(row[0].split('-')[0]))

            prices.append(float(row[1]))

    return

def predicted_price(dates, prices, x):



    dates=np.reshape(dates,len(dates),1)





    svr_linear= SVR(kernel='linear', C=1e3)

    svr_poly= SVR(kernel='poly', C=1e3, degree=2)

    svr_rbf= SVR(kernel='rbf', C=1e3, gamma=0.1)



    svr_linear.fit(dates,prices)

    svr_poly.fit(dates,prices)

    svr_rbf.fit(dates,prices)



    plt.scatter(dates,prices, color='black', label='Data')

    plt.plot(dates, svr.rbf.predict(dates), color='red', label='RBF Model')

    plt.plot(dates, svr.poly.predict(dates), color='blue', label='Poly Model')

    plt.plot(dates, svr.linear.predict(dates), color='green', label='Linera Model')



    plt.xlabel('Dates')

    plt.ylabel('Prices')

    plt.title('Regression')



    plt.legend()

    plt.show()



    return svr_rbf.predict(x)[0], svr_linerar.predict(x)[0], svr_poly(x)[0]





getdata('D:\android\trans1.csv')





predicted_prices=predicted_price(dates,prices,10)

print(predicted_prices)

Here is the error that I am getting:

Expected 2D array, got 1D array instead:

array=[19102018. 19102018. 19102018. ... 22102018. 20102018. 23102018.].

Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.

Changing predicted_price:

(dates,prices,10)

to

([dates,prices,10])

Gives this error:

predicted_price() missing 2 required positional arguments: 'prices' and 'x'

Here is the image of data:

This code has at least 3 issues:

• 
  getdata does not return anything. It only works because dates and prices are global. Move both of them in getdata and return dates, prices
  


• 
  SVR is not imported (sklearn I guess)


• What the error message tells you: dates = dates.reshape(-1, 1)
  

Sub-question about parameters

Changing predicted_price:

(dates,prices,10)
to

([dates,prices,10])
Gives this error:

predicted_price() missing 2 required positional arguments: 'prices' and 'x'

When you write [dates,prices,10] you construct a single list. This single list is what you pass to the function. But the function expects 3 parameters, not one. Hence call it like predicted_price(dates,prices,10).

Another note: The braces (...) belong to the function, not to the data. This is important, because

predicted_price(dates,prices,10)

is different from

predicted_price((dates,prices,10))

The first one is correct, the second one constructs a tuple and passes it to predicted_price.

In case you can make a minimal complete example including some data, you might want to ask for feedback on codereview.stackexchange.com