I am trying to use df["series"].transform instead of df["series"].apply. For .apply we have .progress_apply after initiate
from tqdm import tqdm
tqdm.pandas
df["series"].progress_apply(function)
however, I cant find the version for .progress_transform. I know we can use other tqdm methods like loop it but I just wish to know whether do we have .progress_transform? thank you
Maybe we can look at the actual source code and change apply to transform?
import pandas as pd
import numpy as np
from tqdm.auto import tqdm
def tqdm_pandas(t):
from pandas.core.frame import DataFrame
def inner(df, func, *args, **kwargs):
t.total = groups.size // len(groups)
def wrapper(*args, **kwargs):
t.update(1)
return func(*args, **kwargs)
result = df.transform(wrapper, *args, **kwargs)
t.close()
return result
DataFrame.progress_transform = inner
df = pd.DataFrame(np.random.randint(0, 100, (100000, 6)))
# Register `pandas.progress_apply` and `pandas.Series.map_apply` with `tqdm`
# (can use `tqdm.gui.tqdm`, `tqdm.notebook.tqdm`, optional kwargs, etc.)
tqdm.pandas(desc="my bar!")
df.groupby(0)[5].progress_transform(sum)