Question

我试图绘制一个简单的时间序列图表，看看收盘价格是如何变化的。这是我的代码：

from yahoo_finance import Share
from datetime import datetime
import pandas as pd
import matplotlib.pyplot as plt

yahoo = Share('YHOO')

stock = yahoo

start_date = '2015-12-01'
end_date = '2015-12-10'

historical_table = pd.DataFrame(stock.get_historical(start_date, end_date))
historical_table = historical_table[['Date','Symbol','Close','High','Low','Open']]

def convert_dates(date):
    date = datetime.strptime(date, "%Y-%m-%d")
    return date

historical_table['Date'].apply(convert_dates)

print historical_table['Date']

x = historical_table['Date']
y = historical_table['Close']

plt.plot(x,y)
plt.show()

这是我收到的错误消息：

Traceback (most recent call last):
  File "finance.py", line 45, in <module>
    plt.plot(x,y)
  File "/Users/paulzovighian/anaconda/lib/python2.7/site-packages/matplotlib/pyplot.py", line 3099, in plot
    ret = ax.plot(*args, **kwargs)
  File "/Users/paulzovighian/anaconda/lib/python2.7/site-packages/matplotlib/axes/_axes.py", line 1373, in plot
    for line in self._get_lines(*args, **kwargs):
  File "/Users/paulzovighian/anaconda/lib/python2.7/site-packages/matplotlib/axes/_base.py", line 304, in _grab_next_args
    for seg in self._plot_args(remaining, kwargs):
  File "/Users/paulzovighian/anaconda/lib/python2.7/site-packages/matplotlib/axes/_base.py", line 263, in _plot_args
    linestyle, marker, color = _process_plot_format(tup[-1])
  File "/Users/paulzovighian/anaconda/lib/python2.7/site-packages/matplotlib/axes/_base.py", line 85, in _process_plot_format
    if fmt.find('--') >= 0:
  File "/Users/paulzovighian/anaconda/lib/python2.7/site-packages/pandas/core/generic.py", line 2246, in __getattr__
    (type(self).__name__, name))
AttributeError: 'Series' object has no attribute 'find'

在线查看时，我倾向于看到“硬编码”的示例。变量，但我不知道如何将其应用于数据框列 - 我发现我应该使用strptime来确定我的日期列的格式，但我不知道这是否有任何影响（我如果我注释掉convert_dates apply方法，会得到相同的错误。

在此提前感谢您提供任何帮助，并欢迎提出任何简化此方法的建议。

Answer 1

看起来像格式问题，试试这个：

# %matplotlib inline # Use this if you are using Jupyter notebook and want plots inline
from yahoo_finance import Share
from datetime import datetime
import pandas as pd
import matplotlib.pyplot as plt

yahoo = Share('YHOO')

stock = yahoo

start_date = '2015-12-01'
end_date = '2015-12-10'

historical_table = pd.DataFrame(stock.get_historical(start_date, end_date))
historical_table = historical_table[['Date','Symbol','Close','High','Low','Open']]

historical_table['Date'] = pd.to_datetime(historical_table['Date']) #date to datetime format
historical_table['Close']  = [float(x) for x in historical_table['Close']] #close price to floats

x = historical_table['Date']
y = historical_table['Close']

plt.plot(x,y)
plt.show()

使用pandas

1 个答案: