Question

我使用建议编辑了代码并且当前收到此错误Traceback（最近一次调用最后一次）： File＆＃34; C：\ Users \ Jonathan.HollowayMainPc \ Documents \ Inchimoku Kinko Hyo.py＆＃34;，111行in ichimoku_chart（）文件＆＃34; C：\ Users \ Jonathan.HollowayMainPc \ Documents \ Inchimoku Kinko Hyo.py＆＃34;，第97行，在ichimoku_chart facecolor =＆＃39;绿色＆＃39;，alpha = 0.2，interpolate = True）文件＆＃34; C：\ Python27 \ lib \ site-packages \ matplotlib \ pyplot.py＆＃34;，第2826行，在fill_between中 interpolate = interpolate，** kwargs）文件＆＃34; C：\ Python27 \ lib \ site-packages \ matplotlib \ axes_axes.py＆＃34;，第4345行，在fill_between中提高ValueError（＆＃34;参数尺寸不兼容＆＃34;） ValueError：参数尺寸不兼容

我的代码在下面不确定导致它的原因。任何帮助，将不胜感激。

import urllib
import string
import sys
import matplotlib
import pandas as pd
import matplotlib.pyplot as plt
import pandas.io.data as web
import datetime
#from stooq_helper_functions import data_to_dataframe
stocks = []
#^ list of for stocks 
#for stock in stocks:
    #Everything gets tabbed here. 
stock = "ebay"

data = {'Close': [], 'High': [], 'Low': [], 'Open': [], 'Date':[], 'Volume':[]}
#^Above is done on each stock but only one for now to test. 
url = 'http://chartapi.finance.yahoo.com/instrument/1.0/'+stock+'/chartdata;type=quote;range=1y/csv'
page = urllib.urlopen(url)
for line in page:
    new_string = string.split(line, ',')
    if len(new_string) == 6:
        if new_string[0].isdigit() == True:
            #print new_string
            data[stock]= new_string
            todays_high = float(data[stock][2])
            todays_low = float(data[stock][3])
            todays_open = float(data[stock][4])
            todays_close = float(data[stock][1])
            todays_volume = data[stock][5]
            todays_date = data[stock][0]
            data['High'].append(todays_high)
            data['Low'].append(todays_low)
            data['Open'].append(todays_open)
            data['Date'].append(todays_date)
            data['Close'].append(todays_close)
            data['Volume'].append(todays_volume)

matplotlib.style.use('ggplot')


def ichimoku_chart():
    global data, stock
    # Prepare the data
    #pos = len(data) - days
    close_prices = pd.DataFrame(data['Close'])
    high_prices = pd.DataFrame(data['High'])
    low_prices = pd.DataFrame(data['Low'])
    data['Date'] = pd.to_datetime(data['Date'], format='%Y%m%d')
    # workaround, so matplotlib accepts date axis
    #data['Date'].set_index('Date')

    # Ichimoku chart components

    # 1. Tenkan-sen (Conversion Line): (9-period high + 9-period low)/2))
    period9_high = pd.rolling_max(high_prices, window=9)
    period9_low = pd.rolling_min(low_prices, window=9)
    tenkan_sen = (period9_high + period9_low) / 2
    data['tenkan_sen'] = tenkan_sen

    # 2. Kijun-sen (Base Line): (26-period high + 26-period low)/2))
    period26_high = pd.rolling_max(high_prices, window=26)
    period26_low = pd.rolling_min(low_prices, window=26)
    kijun_sen = (period26_high + period26_low) / 2
    data['kijun_sen'] = kijun_sen

    # 3. Senkou Span A (Leading Span A): (Conversion Line + Base Line)/2))
    # plotted 26 periods ahead
    senkou_span_a = ((tenkan_sen + kijun_sen) / 2).shift(26)
    data['senkou_span_a'] = senkou_span_a

    # 4. Senkou Span B (Leading Span B): (52-period high + 52-period low)/2))
    # plotted 22 periods ahead
    period52_high = pd.rolling_max(high_prices, window=52)
    period52_low = pd.rolling_min(low_prices, window=52)
    senkou_span_b = ((period52_high + period52_low) / 2).shift(22)
    data['senkou_span_b'] = senkou_span_b

    # 5. The most current closing price plotted 22 time periods behind
    chikou_span = close_prices.shift(-22)
    data['chikou_span'] = chikou_span

    #data = data[pos:]
    date_values = data['Date'].values

    fig = plt.figure()

    plt.plot_date(date_values, data['Close'], '-', linewidth=1.4, label='Close')
    plt.plot_date(date_values, data['tenkan_sen'], '-', label='Tenkan Sen')
    plt.plot_date(date_values, data['kijun_sen'], '-', label='Kijun Sen')
    plt.plot_date(date_values, data['senkou_span_a'], '-', linewidth=0)
    plt.plot_date(date_values, data['senkou_span_b'], '-', linewidth=0)
    plt.plot_date(date_values, data['chikou_span'], '-', label='Chikou Span')

    plt.fill_between(date_values, data['senkou_span_a'], data['senkou_span_b'],
                     where=data['senkou_span_a'] >= data['senkou_span_b'],
                     facecolor='green', alpha=0.2, interpolate=True)
    plt.fill_between(date_values, data['senkou_span_a'], data['senkou_span_b'],
                     where=data['senkou_span_a'] < data['senkou_span_b'],
                     facecolor='red', alpha=0.2, interpolate=True)

    fig.set_tight_layout(True)
    plt.legend(loc='upper left')
    plt.show()


#if __name__ == '__main__':
    #days = sys.argv[1]
    #stock = sys.argv[2]
    #ichimoku_chart(data_to_dataframe(stock + '.txt'), int(days))
ichimoku_chart()

Answer 1

有多个问题

url = url = 'http://chartapi.finance.yahoo.com/instrument/1.0/'+stock+'/chartdata;type=quote;range=1yr/csv'应为url = 'http://chartapi.finance.yahoo.com/instrument/1.0/'+stock+'/chartdata;type=quote;range=1y/csv'，即range=1y而不是range=1yr。否则将不会返回任何数据
high_prices是一个列表，但rolling_max需要DataFrame（http://pandas.pydata.org/pandas-docs/version/0.17.0/generated/pandas.rolling_max.html）。试试high_prices = pd.DataFrame(data['High'])
即使解决了这两个问题，您的绘图功能plt.plot_date(date_values, data['Close'], '-', linewidth=1.4, label='Close')也是如此将失败，因为close_prices = data['Close']将始终为空，因为没有数据写入data['Close']

一些较小的问题：

todays_volume = data[stock][5]附加换行符\n
不需要行data[stock]= new_string，它总是被最后一行读取

更新已修改的代码和新错误消息

ValueError：参数尺寸不兼容

如果你查看DataFrames的尺寸，你会看到它们有不同的形状。

>>> date_values.shape
(252,)
>>> data['senkou_span_a'].shape
(252, 1)

将参数更改为data['senkou_span_a'][0]会给出一个情节。我不知道情节是否有意义并显示正确的数据，但至少Python语句是正式的。

Python图形属性错误

1 个答案: