This nice package has solved most of my user cases with jupyterlite except following one problem for now.
%pip install -q pyodide-http pandas-datareader requests
import pyodide_http
pyodide_http.patch_all() # Patch all libraries
import pandas_datareader as pdr
pdr.get_data_fred('GS10')
---------------------------------------------------------------------------
JsException Traceback (most recent call last)
Cell In[3], line 2
1 import pandas_datareader as pdr
----> 2 pdr.get_data_fred('GS10')
File /lib/python3.10/site-packages/pandas_datareader/data.py:72, in get_data_fred(*args, **kwargs)
71 def get_data_fred(*args, **kwargs):
---> 72 return FredReader(*args, **kwargs).read()
File /lib/python3.10/site-packages/pandas_datareader/fred.py:27, in FredReader.read(self)
18 """Read data
19
20 Returns
(...)
24 DataFrame is the outer join of the indicies of each series.
25 """
26 try:
---> 27 return self._read()
28 finally:
29 self.close()
File /lib/python3.10/site-packages/pandas_datareader/fred.py:62, in FredReader._read(self)
55 raise IOError(
56 "Failed to get the data. Check that "
57 "{0!r} is a valid FRED series.".format(name)
58 )
59 raise
61 df = concat(
---> 62 [fetch_data(url, n) for url, n in zip(urls, names)], axis=1, join="outer"
63 )
64 return df
File /lib/python3.10/site-packages/pandas_datareader/fred.py:62, in <listcomp>(.0)
55 raise IOError(
56 "Failed to get the data. Check that "
57 "{0!r} is a valid FRED series.".format(name)
58 )
59 raise
61 df = concat(
---> 62 [fetch_data(url, n) for url, n in zip(urls, names)], axis=1, join="outer"
63 )
64 return df
File /lib/python3.10/site-packages/pandas_datareader/fred.py:41, in FredReader._read.<locals>.fetch_data(url, name)
39 def fetch_data(url, name):
40 """Utillity to fetch data"""
---> 41 resp = self._read_url_as_StringIO(url)
42 data = read_csv(
43 resp,
44 index_col=0,
(...)
49 na_values=".",
50 )
51 try:
File /lib/python3.10/site-packages/pandas_datareader/base.py:119, in _BaseReader._read_url_as_StringIO(self, url, params)
115 def _read_url_as_StringIO(self, url, params=None):
116 """
117 Open url (and retry)
118 """
--> 119 response = self._get_response(url, params=params)
120 text = self._sanitize_response(response)
121 out = StringIO()
File /lib/python3.10/site-packages/pandas_datareader/base.py:155, in _BaseReader._get_response(self, url, params, headers)
153 last_response_text = ""
154 for _ in range(self.retry_count + 1):
--> 155 response = self.session.get(
156 url, params=params, headers=headers, timeout=self.timeout
157 )
158 if response.status_code == requests.codes.ok:
159 return response
File /lib/python3.10/site-packages/requests/sessions.py:600, in Session.get(self, url, **kwargs)
592 r"""Sends a GET request. Returns :class:`Response` object.
593
594 :param url: URL for the new :class:`Request` object.
595 :param \*\*kwargs: Optional arguments that ``request`` takes.
596 :rtype: requests.Response
597 """
599 kwargs.setdefault("allow_redirects", True)
--> 600 return self.request("GET", url, **kwargs)
File /lib/python3.10/site-packages/requests/sessions.py:587, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
582 send_kwargs = {
583 "timeout": timeout,
584 "allow_redirects": allow_redirects,
585 }
586 send_kwargs.update(settings)
--> 587 resp = self.send(prep, **send_kwargs)
589 return resp
File /lib/python3.10/site-packages/requests/sessions.py:701, in Session.send(self, request, **kwargs)
698 start = preferred_clock()
700 # Send the request
--> 701 r = adapter.send(request, **kwargs)
703 # Total elapsed time of the request (approximately)
704 elapsed = preferred_clock() - start
File /lib/python3.10/site-packages/pyodide_http/_requests.py:42, in PyodideHTTPAdapter.send(self, request, **kwargs)
40 pyodide_request.set_body(request.body)
41 try:
---> 42 resp = send(pyodide_request, stream)
43 except _StreamingTimeout:
44 from requests import ConnectTimeout
File /lib/python3.10/site-packages/pyodide_http/_core.py:113, in send(request, stream)
110 for name, value in request.headers.items():
111 xhr.setRequestHeader(name, value)
--> 113 xhr.send(to_js(request.body))
115 headers = dict(Parser().parsestr(xhr.getAllResponseHeaders()))
117 if _IN_WORKER:
JsException: NetworkError: Failed to execute 'send' on 'XMLHttpRequest': Failed to load 'https://fred.stlouisfed.org/graph/fredgraph.csv?id=GS10'.
In the same package, pandas-datareader, following code works well.
from pandas_datareader import wb
matches = wb.search('gdp.*capita.*const')
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