import pandas as pd
import numpy as np
import datetime
import matplotlib.pyplot as plt
%matplotlib inline

df = pd.read_csv('https://stocks-snp-500.herokuapp.com/stocks/index_stock.csv?_size=max')

---------------------------------------------------------------------------
HTTPError                                 Traceback (most recent call last)
<ipython-input-5-20c2aac4a670> in <module>
----> 1 df = pd.read_csv('https://stocks-snp-500.herokuapp.com/stocks/index_stock.csv?_size=max')

~/dev/Timeseries/timeseries/lib/python3.8/site-packages/pandas/io/parsers.py in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)
    686     )
    687 
--> 688     return _read(filepath_or_buffer, kwds)
    689 
    690 

~/dev/Timeseries/timeseries/lib/python3.8/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
    434     # though mypy handling of conditional imports is difficult.
    435     # See https://github.com/python/mypy/issues/1297
--> 436     fp_or_buf, _, compression, should_close = get_filepath_or_buffer(
    437         filepath_or_buffer, encoding, compression
    438     )

~/dev/Timeseries/timeseries/lib/python3.8/site-packages/pandas/io/common.py in get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options)
    181     if isinstance(filepath_or_buffer, str) and is_url(filepath_or_buffer):
    182         # TODO: fsspec can also handle HTTP via requests, but leaving this unchanged
--> 183         req = urlopen(filepath_or_buffer)
    184         content_encoding = req.headers.get("Content-Encoding", None)
    185         if content_encoding == "gzip":

~/dev/Timeseries/timeseries/lib/python3.8/site-packages/pandas/io/common.py in urlopen(*args, **kwargs)
    135     import urllib.request
    136 
--> 137     return urllib.request.urlopen(*args, **kwargs)
    138 
    139 

/usr/lib/python3.8/urllib/request.py in urlopen(url, data, timeout, cafile, capath, cadefault, context)
    220     else:
    221         opener = _opener
--> 222     return opener.open(url, data, timeout)
    223 
    224 def install_opener(opener):

/usr/lib/python3.8/urllib/request.py in open(self, fullurl, data, timeout)
    529         for processor in self.process_response.get(protocol, []):
    530             meth = getattr(processor, meth_name)
--> 531             response = meth(req, response)
    532 
    533         return response

/usr/lib/python3.8/urllib/request.py in http_response(self, request, response)
    638         # request was successfully received, understood, and accepted.
    639         if not (200 <= code < 300):
--> 640             response = self.parent.error(
    641                 'http', request, response, code, msg, hdrs)
    642 

/usr/lib/python3.8/urllib/request.py in error(self, proto, *args)
    567         if http_err:
    568             args = (dict, 'default', 'http_error_default') + orig_args
--> 569             return self._call_chain(*args)
    570 
    571 # XXX probably also want an abstract factory that knows when it makes

/usr/lib/python3.8/urllib/request.py in _call_chain(self, chain, kind, meth_name, *args)
    500         for handler in handlers:
    501             func = getattr(handler, meth_name)
--> 502             result = func(*args)
    503             if result is not None:
    504                 return result

/usr/lib/python3.8/urllib/request.py in http_error_default(self, req, fp, code, msg, hdrs)
    647 class HTTPDefaultErrorHandler(BaseHandler):
    648     def http_error_default(self, req, fp, code, msg, hdrs):
--> 649         raise HTTPError(req.full_url, code, msg, hdrs, fp)
    650 
    651 class HTTPRedirectHandler(BaseHandler):

HTTPError: HTTP Error 404: Not Found

df

df['FXAIX_stock'].plot()

<AxesSubplot:>

	rowid	Date	MSFT_stock	ZOOM_stock	SNOW_stock	FXAIX_stock
0	1	2020-01-02 00:00:00.000000	158.779999	68.800003	NaN	112.980003
1	2	2020-01-03 00:00:00.000000	158.320007	67.620003	NaN	112.190002
2	3	2020-01-06 00:00:00.000000	157.080002	66.629997	NaN	112.589996
3	4	2020-01-07 00:00:00.000000	159.320007	70.290001	NaN	112.290001
4	5	2020-01-08 00:00:00.000000	158.929993	71.809998	NaN	112.839996
...	...	...	...	...	...	...
258	259	2021-01-11 00:00:00.000000	218.470001	344.980011	295.000000	131.750000
259	260	2021-01-12 00:00:00.000000	216.500000	333.200012	298.000000	131.800003
260	261	2021-01-13 00:00:00.000000	214.020004	360.000000	295.000000	132.100006
261	262	2021-01-14 00:00:00.000000	215.910004	371.000000	305.000000	131.619995
262	263	2021-01-15 00:00:00.000000	213.520004	397.709991	306.820007	130.679993