Example: Securities¶

Description:

In [1]:

from morningpy.api.ticker import get_all_etfs

etfs = get_all_etfs()
print("ETFs:")
print(etfs.head())

from morningpy.api.ticker import get_all_etfs etfs = get_all_etfs() print("ETFs:") print(etfs.head())

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
Cell In[1], line 3
      1 from morningpy.api.ticker import get_all_etfs
----> 3 etfs = get_all_etfs()
      4 print("ETFs:")
      5 print(etfs.head())

File c:\Users\Thomas\VS\morningpy\env\Lib\site-packages\morningpy\api\ticker.py:27, in get_all_etfs()
     18 def get_all_etfs() -> pd.DataFrame:
     19     """
     20     Get all tickers of type 'etf'.
     21 
   (...)     25         DataFrame containing all ETF tickers.
     26     """
---> 27     return TickerExtractor(asset_type="etf").get()

File c:\Users\Thomas\VS\morningpy\env\Lib\site-packages\morningpy\extractor\ticker.py:37, in TickerExtractor.__init__(self, asset_type, ticker, isin, performance_id)
     35 self.isin = isin
     36 self.performance_id = performance_id
---> 37 self.tickers = pd.read_parquet("data/tickers.parquet")

File c:\Users\Thomas\VS\morningpy\env\Lib\site-packages\pandas\io\parquet.py:669, in read_parquet(path, engine, columns, storage_options, use_nullable_dtypes, dtype_backend, filesystem, filters, **kwargs)
    666     use_nullable_dtypes = False
    667 check_dtype_backend(dtype_backend)
--> 669 return impl.read(
    670     path,
    671     columns=columns,
    672     filters=filters,
    673     storage_options=storage_options,
    674     use_nullable_dtypes=use_nullable_dtypes,
    675     dtype_backend=dtype_backend,
    676     filesystem=filesystem,
    677     **kwargs,
    678 )

File c:\Users\Thomas\VS\morningpy\env\Lib\site-packages\pandas\io\parquet.py:258, in PyArrowImpl.read(self, path, columns, filters, use_nullable_dtypes, dtype_backend, storage_options, filesystem, **kwargs)
    256 if manager == "array":
    257     to_pandas_kwargs["split_blocks"] = True
--> 258 path_or_handle, handles, filesystem = _get_path_or_handle(
    259     path,
    260     filesystem,
    261     storage_options=storage_options,
    262     mode="rb",
    263 )
    264 try:
    265     pa_table = self.api.parquet.read_table(
    266         path_or_handle,
    267         columns=columns,
   (...)    270         **kwargs,
    271     )

File c:\Users\Thomas\VS\morningpy\env\Lib\site-packages\pandas\io\parquet.py:141, in _get_path_or_handle(path, fs, storage_options, mode, is_dir)
    131 handles = None
    132 if (
    133     not fs
    134     and not is_dir
   (...)    139     # fsspec resources can also point to directories
    140     # this branch is used for example when reading from non-fsspec URLs
--> 141     handles = get_handle(
    142         path_or_handle, mode, is_text=False, storage_options=storage_options
    143     )
    144     fs = None
    145     path_or_handle = handles.handle

File c:\Users\Thomas\VS\morningpy\env\Lib\site-packages\pandas\io\common.py:882, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
    873         handle = open(
    874             handle,
    875             ioargs.mode,
   (...)    878             newline="",
    879         )
    880     else:
    881         # Binary mode
--> 882         handle = open(handle, ioargs.mode)
    883     handles.append(handle)
    885 # Convert BytesIO or file objects passed with an encoding

FileNotFoundError: [Errno 2] No such file or directory: 'data/tickers.parquet'