mirror of https://github.com/tqdm/tqdm.git
29 lines
931 B
Python
29 lines
931 B
Python
import pandas as pd
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import numpy as np
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from tqdm import tqdm
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df = pd.DataFrame(np.random.randint(0, 100, (100000, 6)))
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# Register `pandas.progress_apply` and `pandas.Series.map_apply` with `tqdm`
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# (can use `tqdm.gui.tqdm`, `tqdm.notebook.tqdm`, optional kwargs, etc.)
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tqdm.pandas(desc="my bar!")
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# Now you can use `progress_apply` instead of `apply`
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# and `progress_map` instead of `map`
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df.progress_apply(lambda x: x**2)
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# can also groupby:
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# df.groupby(0).progress_apply(lambda x: x**2)
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# -- Source code for `tqdm_pandas` (really simple!)
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# def tqdm_pandas(t):
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# from pandas.core.frame import DataFrame
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# def inner(df, func, *args, **kwargs):
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# t.total = groups.size // len(groups)
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# def wrapper(*args, **kwargs):
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# t.update(1)
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# return func(*args, **kwargs)
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# result = df.apply(wrapper, *args, **kwargs)
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# t.close()
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# return result
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# DataFrame.progress_apply = inner
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