code stringlengths 3 6.57k |
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int(pd.Timestamp(end_date) |
timestamp() |
int(pd.Timestamp(start_date) |
timestamp() |
interval.lower() |
force_float(elt) |
float(elt) |
_convert_to_numeric(s) |
s.strip("M") |
force_float(s) |
s.strip("B") |
force_float(s) |
force_float(s) |
in ("1d", "1wk", "1mo", "1m") |
AssertionError("interval must be of of '1d', '1wk', '1mo', or '1m'") |
build_url(ticker, start_date, end_date, interval) |
requests.get(site, params = params, headers = headers) |
AssertionError(resp.json() |
resp.json() |
pd.DataFrame(data["chart"]["result"][0]["indicators"]["quote"][0]) |
pd.to_datetime(temp_time, unit = "s") |
frame.index.map(lambda dt: dt.floor("d") |
pd.to_datetime(temp_time, unit = "s") |
ticker.upper() |
frame.reset_index() |
frame.rename(columns = {"index": "date"}, inplace = True) |
tickers_sp500(include_company_data = False) |
pd.read_html("https://en.wikipedia.org/wiki/List_of_S%26P_500_companies") |
str.replace(".", "-", regex=True) |
sp500.Symbol.tolist() |
sorted(sp_tickers) |
tickers_nasdaq(include_company_data = False) |
ftplib.FTP("ftp.nasdaqtrader.com") |
ftp.login() |
ftp.cwd("SymbolDirectory") |
io.BytesIO() |
ftp.retrbinary('RETR nasdaqlisted.txt', r.write) |
r.seek(0) |
pd.read_csv(r, sep = "|") |
r.getvalue() |
decode() |
info.split("|") |
x.split("\r\n") |
ftp.close() |
tickers_other(include_company_data = False) |
ftplib.FTP("ftp.nasdaqtrader.com") |
ftp.login() |
ftp.cwd("SymbolDirectory") |
io.BytesIO() |
ftp.retrbinary('RETR otherlisted.txt', r.write) |
r.seek(0) |
pd.read_csv(r, sep = "|") |
r.getvalue() |
decode() |
info.split("|") |
x.split("\r\n") |
ftp.close() |
tickers_dow(include_company_data = False) |
pd.read_html(site, attrs = {"id":"constituents"}) |
sorted(table['Symbol'].tolist() |
tickers_ibovespa(include_company_data = False) |
pd.read_html("https://pt.wikipedia.org/wiki/Lista_de_companhias_citadas_no_Ibovespa") |
sorted(table.Symbol.tolist() |
tickers_nifty50(include_company_data = False, headers = {'User-agent': 'Mozilla/5.0'}) |
pd.read_html(requests.get(site, headers=headers) |
sorted(table['Symbol'].tolist() |
tickers_niftybank() |
tickers_ftse100(include_company_data = False) |
pd.read_html("https://en.wikipedia.org/wiki/FTSE_100_Index", attrs = {"id": "constituents"}) |
sorted(table.EPIC.tolist() |
tickers_ftse250(include_company_data = False) |
pd.read_html("https://en.wikipedia.org/wiki/FTSE_250_Index", attrs = {"id": "constituents"}) |
sorted(table.Ticker.tolist() |
get_quote_table(ticker , dict_result = True, headers = {'User-agent': 'Mozilla/5.0'}) |
pd.read_html(requests.get(site, headers=headers) |
append(tables[1]) |
pd.DataFrame(["Quote Price", get_live_price(ticker) |
transpose() |
data.columns.copy() |
data.append(quote_price) |
data.sort_values("attribute") |
data.drop_duplicates() |
reset_index(drop = True) |
data.value.map(force_float) |
zip(data.attribute , data.value) |
get_stats(ticker, headers = {'User-agent': 'Mozilla/5.0'}) |
pd.read_html(requests.get(stats_site, headers=headers) |
table.append(elt) |
table.reset_index(drop = True) |
get_stats_valuation(ticker, headers = {'User-agent': 'Mozilla/5.0'}) |
pd.read_html(requests.get(stats_site, headers=headers) |
tolist() |
reset_index(drop = True) |
_parse_json(url, headers = {'User-agent': 'Mozilla/5.0'}) |
requests.get(url=url, headers = headers) |
html.split('root.App.main =') |
split(';\n}') |
strip() |
json.loads(json_str) |
json.dumps(data) |
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