用python的反射，自制sklearn和numpy,pandas全局文檔

想不想知道import的包裏，全局都有啥？

#!/usr/bin/python
# -*- coding: utf-8 -*-

import sys
from collections import Iterable
import numpy as np
import types
import sklearn
import sklearn.cluster

print(type(sklearn.cluster.AffinityPropagation))


# return(list(filter(lambda m: not m.startswith("__") and not m.endswith("__") and callable(getattr(self, m)), dir(self))))
def F(clsname, space):
    if '__' in clsname:
        return
    try:
        __import__(clsname)
        print('\033[31m' + space + clsname + "模塊\033[0m")
    except:
        return
    m = sys.modules[clsname]
    for func in dir(m):
        if not (func.endswith("_") or func.startswith("_")):
            if func.islower():
                print(space + space + "        ." + func + "()")
            else:
                print(space + space + "        ." + func )

    attstrlist = dir(m)
    for  attstr in attstrlist:
        submodules = getattr(m, attstr)
        # if isinstance(submodules, types.ModuleType):
        #     print(space + "    " + submodules.__name__ + "模塊")
        if isinstance(submodules, type):
            print(space + "    \033[0;34m" + clsname + "." + submodules.__name__ + "類\033[0m")
            for func in dir(submodules):
                if not (func.endswith("_") or func.startswith("_")):
                    print(space + space + "        ." + func + "()")
        if isinstance(submodules, Iterable):
            try:
                for sm in submodules:
                    if isinstance(sm, str) and len(sm) > 1:
                        F(clsname + '.' + sm, "  " + space)
            except:
                pass

# F("sklearn", "")
# F("numpy", "")
F("pandas", "")

 

大概長這樣的，如果誰有興趣，幫我完善一下。

python3 的反射不大好用，有些類型type沒搞清楚。

目前能大概羅列出一個骨架