CODEWITHSUNDEEP
python-3.xpackageiteration
ThirteenthWolf
ThirteenthWolf

Reputation: 346

Is there a way to iterate over modules installed with a package?

Say I've imported a package by doing import package. In each of the modules within this package, there is a function called "func". Is there a way to iterate over the modules that were imported with this package, calling the function for each module?

Something along the lines of this pseudocode:

import package

for module in package:
    module.func()

EDIT: solution

import inspect
import package

for name, module in inspect.getmembers(package, predicate=inspect.ismodule):
    module.func()

Now it is also required that you filter out the built in modules that are returned and don't contain func implementations, but that is a separate problem altogether.

Upvotes: 1

Views: 1006

Answers (1)

Seitanist
Seitanist

Reputation: 76

I just ran it without a for loop. However if you want to inspect multiple packages at once you´d have to loop:

import pandas as pd
import inspect

inspect.getmembers(pd, predicate=inspect.isfunction)

output (truncated):

[('array', <function pandas.core.construction.array>),
 ('bdate_range', <function pandas.core.indexes.datetimes.bdate_range>),
 ('concat', <function pandas.core.reshape.concat.concat>),
 ('crosstab', <function pandas.core.reshape.pivot.crosstab>),
 ('cut', <function pandas.core.reshape.tile.cut>),
 ('date_range', <function pandas.core.indexes.datetimes.date_range>),
 ('eval', <function pandas.core.computation.eval.eval>),
 ('factorize', <function pandas.core.algorithms.factorize>),
 ('get_dummies', <function pandas.core.reshape.reshape.get_dummies>),
 ('infer_freq', <function pandas.tseries.frequencies.infer_freq>),
 ('interval_range', <function pandas.core.indexes.interval.interval_range>),
 ('isna', <function pandas.core.dtypes.missing.isna>),
 ('isnull', <function pandas.core.dtypes.missing.isna>),
 ('json_normalize', <function pandas.io.json._normalize._json_normalize>),
 ('lreshape', <function pandas.core.reshape.melt.lreshape>),
 ('melt', <function pandas.core.reshape.melt.melt>),
 ('merge', <function pandas.core.reshape.merge.merge>),
 ('merge_asof', <function pandas.core.reshape.merge.merge_asof>),

Upvotes: 1

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