bazarr/libs/tqdm/_tqdm_pandas.py

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import sys
__author__ = "github.com/casperdcl"
__all__ = ['tqdm_pandas']
def tqdm_pandas(tclass, *targs, **tkwargs):
"""
Registers the given `tqdm` instance with
`pandas.core.groupby.DataFrameGroupBy.progress_apply`.
It will even close() the `tqdm` instance upon completion.
Parameters
----------
tclass : tqdm class you want to use (eg, tqdm, tqdm_notebook, etc)
targs and tkwargs : arguments for the tqdm instance
Examples
--------
>>> import pandas as pd
>>> import numpy as np
>>> from tqdm import tqdm, tqdm_pandas
>>>
>>> df = pd.DataFrame(np.random.randint(0, 100, (100000, 6)))
>>> tqdm_pandas(tqdm, leave=True) # can use tqdm_gui, optional kwargs, etc
>>> # Now you can use `progress_apply` instead of `apply`
>>> df.groupby(0).progress_apply(lambda x: x**2)
References
----------
https://stackoverflow.com/questions/18603270/
progress-indicator-during-pandas-operations-python
"""
from tqdm import TqdmDeprecationWarning
if isinstance(tclass, type) or (getattr(tclass, '__name__', '').startswith(
'tqdm_')): # delayed adapter case
TqdmDeprecationWarning("""\
Please use `tqdm.pandas(...)` instead of `tqdm_pandas(tqdm, ...)`.
""", fp_write=getattr(tkwargs.get('file', None), 'write', sys.stderr.write))
tclass.pandas(*targs, **tkwargs)
else:
TqdmDeprecationWarning("""\
Please use `tqdm.pandas(...)` instead of `tqdm_pandas(tqdm(...))`.
""", fp_write=getattr(tclass.fp, 'write', sys.stderr.write))
type(tclass).pandas(deprecated_t=tclass)