分体 Dataframe 列

Question

I'm using yfinance to get option chain information. In the yfinance documentation it says data when retrieved would be pandas dataframe.

 import pandas as pd import numpy as np import yfinance as yf #retrieving for specific date data = tk.option_chain('2021-03-26')

Output looks like this:

Then I try this to split the text

 data['ExpirationDate'] = data['contractSumbol'].str.slice(start=4, stop=10)

Output: TypeError: tuple indices must be integers or slices, not str

so I try to define column by integer like this:

data['ExpirationDate'] = data[0].str.slice(start=4, stop=10)

Output error: AttributeError: 'DataFrame' object has no attribute 'str'

I try: data['ExpirationDate'] = data[0].slice(start=4, stop=10)

but get this error: AttributeError: 'DataFrame' object has no attribute 'slice'

End goal is to have a dataframe with just the expiration dates formatted as dates:

Answer 1

It seems that option_chain() return an object of type yfinance.ticker.Options which contains a collections of pandas Dataframes

type(data)

yfinance.ticker.Options

type(data[0])

pandas.core.frame.DataFrame

data[0]

contractSymbol  lastTradeDate   strike  lastPrice   bid ask change  percentChange   volume  openInterest    impliedVolatility   inTheMoney  contractSize    currency
0   MSFT210326C00140000 2021-03-15 04:09:20 140.0   93.03   91.50   92.15   0.000000    0.000000    NaN 0   1.819337    True    REGULAR USD
1   MSFT210326C00145000 2021-03-16 19:35:26 145.0   93.87   86.40   87.20   0.000000    0.000000    2.0 0   1.695314    True    REGULAR USD
2   MSFT210326C00170000 2021-02-09 14:40:03 170.0   72.75   67.80   68.65   0.000000    0.000000    NaN 0   2.339848    True    REGULAR USD
3   MSFT210326C00175000 2021-03-01 20:24:42 175.0   57.80   56.45   57.10   0.000000    0.000000    40.0    28  1.082524    True    REGULAR USD
4   MSFT210326C00180000 2021-02-18 16:22:29 180.0   51.00   51.40   52.35   -6.450001   -11.227155  1.0 4   1.024419    True    REGULAR USD
5   MSFT210326C00190000 2021-03-04 16:58:48 190.0   49.65   41.50   42.25   0.000000    0.000000    1.0 59  0.839845    True    REGULAR USD
6   MSFT210326C00195000 2021-03-18 13:41:08 195.0   38.75   36.65   37.30   0.000000    0.000000    1.0 0   0.774416    True    REGULAR USD

To extract date of expiration

df = data[0]
df["contractSymbol"].str[4:10]