Parsing Data Output in Python - python-3.x

Question

So I have this code:
si.get_stats("aapl")
which returns this junk:
0 Market Cap (intraday) 5 877.04B
1 Enterprise Value 3 966.56B
2 Trailing P/E 15.52
3 Forward P/E 1 12.46
4 PEG Ratio (5 yr expected) 1 1.03
5 Price/Sales (ttm) 3.30
6 Price/Book (mrq) 8.20
7 Enterprise Value/Revenue 3 3.64
8 Enterprise Value/EBITDA 6 11.82
9 Fiscal Year Ends Sep 29, 2018
10 Most Recent Quarter (mrq) Sep 29, 2018
11 Profit Margin 22.41%
12 Operating Margin (ttm) 26.69%
13 Return on Assets (ttm) 11.96%
14 Return on Equity (ttm) 49.36%
15 Revenue (ttm) 265.59B
16 Revenue Per Share (ttm) 53.60
17 Quarterly Revenue Growth (yoy) 19.60%
18 Gross Profit (ttm) 101.84B
19 EBITDA 81.8B
20 Net Income Avi to Common (ttm) 59.53B
21 Diluted EPS (ttm) 11.91
22 Quarterly Earnings Growth (yoy) 31.80%
23 Total Cash (mrq) 66.3B
24 Total Cash Per Share (mrq) 13.97
25 Total Debt (mrq) 114.48B
26 Total Debt/Equity (mrq) 106.85
27 Current Ratio (mrq) 1.12
28 Book Value Per Share (mrq) 22.53
29 Operating Cash Flow (ttm) 77.43B
30 Levered Free Cash Flow (ttm) 48.42B
31 Beta (3Y Monthly) 1.21
32 52-Week Change 3 5.27%
33 S&P500 52-Week Change 3 4.97%
34 52 Week High 3 233.47
35 52 Week Low 3 150.24
36 50-Day Moving Average 3 201.02
37 200-Day Moving Average 3 203.28
38 Avg Vol (3 month) 3 38.6M
39 Avg Vol (10 day) 3 42.36M
40 Shares Outstanding 5 4.75B
41 Float 4.62B
42 % Held by Insiders 1 0.07%
43 % Held by Institutions 1 61.16%
44 Shares Short (Oct 31, 2018) 4 36.47M
45 Short Ratio (Oct 31, 2018) 4 1.06
46 Short % of Float (Oct 31, 2018) 4 0.72%
47 Short % of Shares Outstanding (Oct 31, 2018) 4 0.77%
48 Shares Short (prior month Sep 28, 2018) 4 40.2M
49 Forward Annual Dividend Rate 4 2.92
50 Forward Annual Dividend Yield 4 1.51%
51 Trailing Annual Dividend Rate 3 2.72
52 Trailing Annual Dividend Yield 3 1.52%
53 5 Year Average Dividend Yield 4 1.73
54 Payout Ratio 4 22.84%
55 Dividend Date 3 Nov 15, 2018
56 Ex-Dividend Date 4 Nov 8, 2018
57 Last Split Factor (new per old) 2 1/7
58 Last Split Date 3 Jun 9, 2014
This is a third party function, scraping data off of Yahoo Finance. I need something like this
def func( si.get_stats("aapl") ):
**magic**
return Beta (3Y Monthly)
Specifically, I want it to return the number assocaited with Beta, not the actual text.

Answer 1

I'm assuming that the function call returns a single string or list of strings for each line in the table and is not writing to the stdout.
To get the value associated with Beta (3Y Monthly) or any of the other parameter names:
1) If the return is a single string with formatting to print as the table above it should have \n at the end of each line. So you can split this string to a list then iterate over to find the parameter name and split again to fetch the numeric associated with it
# Split the single formatted string to a list of elements, each element
# is one line in the table
str_lst = si.get_stats("aapl").split('\n')
for line in str_lst:
# change Beta (3Y Monthly) to any other parameter required.
if 'Beta (3Y Monthly)' in line:
# split this line with the default split value of white space
# this should provide a list of elements split at each white space.
# eg : ['31', 'Beta', '(3Y', 'Monthly)', '1.21'], the numeric value is the
# last element. Strip to remove trailing space/newline.
num_value_asStr = line.split()[-1].strip()
return num_value_asStr
2) If it already a list that is returned then just iterate over the list items and use the if condition as above and split the required list element to get the numeric value associated with the parameter.
str_lst = si.get_stats("aapl")
for line in str_lst:
# change Beta (3Y Monthly) to any other parameter required.
if 'Beta (3Y Monthly)' in line:
# split this line with the default split value of white space
# this should provide a list of elements split at each white space.
# eg : ['31', 'Beta', '(3Y', 'Monthly)', '1.21'], the numeric value is the
# last element. Strip to remove trailing space/newline.
num_value_asStr = line.split()[-1].strip()
return num_value_asStr