Plotten mehrere Preistabelle in Python

Question

Ich studierte in Udacity (im Neuling) und ich steckte bei diesem. Ich coppy Code und laufen, aber es gibt keinen Ausgang

dies Udacity Link https://www.youtube.com/watch?v=vmF6iEQzC2A

* Meine csv-Dateien aus dem Video unterscheiden

here is my csv link

hier ist mein Code

"""Slice and plot""" 

import os 
import pandas as pd 
import matplotlib.pyplot as plt 

def plot_selected(df, columns, start_index, end_index): 
    plot_data(df.ix[start_index:end_index,columns],title="Selected Data") 

def symbol_to_path(symbol, base_dir="data"): 
    """Return CSV file path given ticker symbol.""" 
    return os.path.join(base_dir, "{}.csv".format(str(symbol))) 


def get_data(symbols, dates): 
    """Read stock data (adjusted close) for given symbols from CSV files.""" 
    df = pd.DataFrame(index=dates) 
    if 'EURUSDCSV' not in symbols: # add EUR for reference, if absent 
     symbols.insert(0, 'EURUSDCSV') 

    for symbol in symbols: 
     df_temp = pd.read_csv(symbol_to_path(symbol), index_col='DateTime', 
           parse_dates=True, usecols=['DateTime', 'Close'], na_values=['nan']) 
     df_temp = df_temp.rename(columns={'Close': symbol}) 
     df = df.join(df_temp) 
     if symbol == 'EURUSDCSV': # drop dates SPY did not trade 
      df = df.dropna(subset=["EURUSDCSV"]) 

    return df 


def plot_data(df, title="Stock prices"): 
    """Plot stock prices with a custom title and meaningful axis labels.""" 
    ax = df.plot(title=title, fontsize=12) 
    ax.set_xlabel("Date") 
    ax.set_ylabel("Price") 
    plt.show() 


def test_run(): 
    # Define a date range 
    dates = pd.date_range('2015-01-01', '2015-12-31') 

    # Choose stock symbols to read 
    symbols = ['EURUSDCSV', 'USDJPYcsv'] # SPY will be added in get_data() 

    # Get stock data 
    df = get_data(symbols, dates) 

    # Slice and plot 
    plot_selected(df, ['EURUSDCSV', 'USDJPYcsv'], '2015-01-01', '2015-12-31') 


if __name__ == "__main__": 
    test_run() 

Answer 1

Werfen Sie einen Blick auf Zeile 9, die Zeile vor dem gemeldeten Fehler:

plot_data(df.ix[start_index:end_index,columns],title="Selected Data)" 

Der Schlusskurs in der falschen Position ist, sollte es vor der schließenden Klammer, dh

plot_data(df.ix[start_index:end_index,columns],title="Selected Data")