mirror of https://github.com/morpheus65535/bazarr
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
import sys
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__author__ = "github.com/casperdcl"
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__all__ = ['tqdm_pandas']
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def tqdm_pandas(tclass, *targs, **tkwargs):
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"""
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Registers the given `tqdm` instance with
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`pandas.core.groupby.DataFrameGroupBy.progress_apply`.
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It will even close() the `tqdm` instance upon completion.
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Parameters
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----------
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tclass : tqdm class you want to use (eg, tqdm, tqdm_notebook, etc)
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targs and tkwargs : arguments for the tqdm instance
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Examples
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--------
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>>> import pandas as pd
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>>> import numpy as np
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>>> from tqdm import tqdm, tqdm_pandas
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>>>
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>>> df = pd.DataFrame(np.random.randint(0, 100, (100000, 6)))
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>>> tqdm_pandas(tqdm, leave=True) # can use tqdm_gui, optional kwargs, etc
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>>> # Now you can use `progress_apply` instead of `apply`
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>>> df.groupby(0).progress_apply(lambda x: x**2)
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References
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----------
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https://stackoverflow.com/questions/18603270/
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progress-indicator-during-pandas-operations-python
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"""
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from tqdm import TqdmDeprecationWarning
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if isinstance(tclass, type) or (getattr(tclass, '__name__', '').startswith(
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'tqdm_')): # delayed adapter case
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TqdmDeprecationWarning("""\
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Please use `tqdm.pandas(...)` instead of `tqdm_pandas(tqdm, ...)`.
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""", fp_write=getattr(tkwargs.get('file', None), 'write', sys.stderr.write))
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tclass.pandas(*targs, **tkwargs)
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else:
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TqdmDeprecationWarning("""\
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Please use `tqdm.pandas(...)` instead of `tqdm_pandas(tqdm(...))`.
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""", fp_write=getattr(tclass.fp, 'write', sys.stderr.write))
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type(tclass).pandas(deprecated_t=tclass)
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