code stringlengths 3 6.57k |
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replace('{}', 'null') |
re.sub(r'\{[\'|\"]raw[\'|\"]:(.*?) |
json.loads(new_data) |
_parse_table(json_info) |
pd.DataFrame(json_info) |
df.set_index("endDate", inplace=True) |
pd.to_datetime(df.index, unit="s") |
df.transpose() |
get_income_statement(ticker, yearly = True) |
_parse_json(income_site) |
_parse_table(temp) |
get_balance_sheet(ticker, yearly = True) |
_parse_json(balance_sheet_site) |
_parse_table(temp) |
get_cash_flow(ticker, yearly = True) |
_parse_json(cash_flow_site) |
_parse_table(temp) |
get_financials(ticker, yearly = True, quarterly = True) |
AssertionError("yearly or quarterly must be True") |
_parse_json(financials_site) |
_parse_table(temp) |
_parse_table(temp) |
_parse_table(temp) |
_parse_table(temp) |
_parse_table(temp) |
_parse_table(temp) |
get_holders(ticker, headers = {'User-agent': 'Mozilla/5.0'}) |
pd.read_html(requests.get(holders_site, headers=headers) |
Holders (Forms 3 and 4) |
zip(table_names , tables) |
get_analysts_info(ticker, headers = {'User-agent': 'Mozilla/5.0'}) |
pd.read_html(requests.get(analysts_site, headers=headers) |
zip(table_names , tables) |
get_live_price(ticker) |
get_data(ticker, end_date = pd.Timestamp.today() |
pd.DateOffset(10) |
_raw_get_daily_info(site) |
HTMLSession() |
session.get(site) |
pd.read_html(resp.html.raw_html) |
copy() |
map(lambda x: float(x.strip("%+") |
replace(",", "") |
df.columns.tolist() |
type(df[field][0]) |
map(_convert_to_numeric) |
session.close() |
get_day_most_active(count: int = 100) |
_raw_get_daily_info(f"https://finance.yahoo.com/most-active?offset=0&count={count}") |
get_day_gainers(count: int = 100) |
_raw_get_daily_info(f"https://finance.yahoo.com/gainers?offset=0&count={count}") |
get_day_losers(count: int = 100) |
_raw_get_daily_info(f"https://finance.yahoo.com/losers?offset=0&count={count}") |
get_top_crypto() |
HTMLSession() |
session.get("https://finance.yahoo.com/cryptocurrencies?offset=0&count=100") |
pd.read_html(resp.html.raw_html) |
copy() |
map(lambda x: float(str(x) |
strip("%") |
strip("+") |
replace(",", "") |
df.columns.tolist() |
type(df[field][0]) |
map(lambda x: _convert_to_numeric(str(x) |
session.close() |
build_url(ticker, start_date, end_date, "1d") |
requests.get(site, params = params, headers = headers) |
pd.DataFrame() |
resp.json() |
pd.DataFrame() |
pd.DataFrame(data["chart"]["result"][0]['events']['dividends']) |
frame.transpose() |
pd.to_datetime(frame.index, unit = "s") |
frame.index.map(lambda dt: dt.floor("d") |
frame.sort_index() |
ticker.upper() |
frame.drop(columns='date') |
frame.rename({'amount': 'dividend'}, axis = 'columns') |
frame.reset_index() |
frame.rename(columns = {"index": "date"}, inplace = True) |
build_url(ticker, start_date, end_date, "1d") |
requests.get(site, params = params, headers = headers) |
AssertionError(resp.json() |
resp.json() |
AssertionError("There is no data available on stock events, or none have occured") |
AssertionError("There is no data available on stock splits, or none have occured") |
pd.DataFrame(data["chart"]["result"][0]['events']['splits']) |
frame.transpose() |
pd.to_datetime(frame.index, unit = "s") |
frame.index.map(lambda dt: dt.floor("d") |
frame.sort_index() |
ticker.upper() |
frame.drop(columns=['date', 'denominator', 'numerator']) |
frame.reset_index() |
frame.rename(columns = {"index": "date"}, inplace = True) |
get_earnings(ticker) |
pd.DataFrame() |
pd.DataFrame() |
pd.DataFrame() |
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