C++ 如何獲取類的屬性和方法?

在.h文件中一個(gè)類的定義,該類擁有多個(gè)方法和屬性:

class Test1
{
    public:
        Test1(int n);
        void set(int, int, int);  
        int isLeapYear();
        void print();
    
    private:
        int num;
        int month;
        int day;
        int year;
        double length;
};

就是我在main函數(shù)中獲取到了類Test1實(shí)例t1了,如何才能知道這個(gè)實(shí)例 中有哪些方法和屬性?這些方法和屬性有doc嗎?怎么查看?

**是不是任何的c代碼編譯成lib和dll后都會(huì)有對(duì)應(yīng)的.h頭文件,這個(gè)頭文件中就包含了類的方法和屬性信息?
會(huì)不會(huì)存在沒有頭文件,但是我們可以正常使用lib和dll所提供的類?對(duì)于這樣的情況,那么如何知道該類要如何調(diào)用,并能否查看方法的doc?
**

因?yàn)槭菑腜ython過來學(xué)C++的,以前學(xué)過c,現(xiàn)在回來學(xué)發(fā)現(xiàn)C++相對(duì)python是有點(diǎn)不方便,或者說我不會(huì)用,因?yàn)樵趐ython中查看類的屬性方法和doc非常方便,一個(gè)dir函數(shù)就出來了:

#導(dǎo)入pandas這個(gè)包
import pandas as pd
#pd.DataFrame是一個(gè)類,使用dir查看這個(gè)類中有的方法和屬性
dir(pd.DataFrame)
Out[3]:
['T',
 '_AXIS_ALIASES',
 '_AXIS_IALIASES',
 '_AXIS_LEN',
 '_AXIS_NAMES',
 '_AXIS_NUMBERS',
 '_AXIS_ORDERS',
 '_AXIS_REVERSED',
 '_AXIS_SLICEMAP',
 '__abs__',
 '__add__',
 '__and__',
 '__array__',
 '__array_wrap__',
 '__bool__',
 '__bytes__',
 ...]

#在ipython中查看doc,就是加個(gè)問號(hào)就知道怎么用了
pd.DataFrame?
Init signature: pd.DataFrame(data=None, index=None, columns=None, dtype=None, copy=False)
Docstring:
Two-dimensional size-mutable, potentially heterogeneous tabular data
structure with labeled axes (rows and columns). Arithmetic operations
align on both row and column labels. Can be thought of as a dict-like
container for Series objects. The primary pandas data structure

Parameters
----------
data : numpy ndarray (structured or homogeneous), dict, or DataFrame
    Dict can contain Series, arrays, constants, or list-like objects
index : Index or array-like
    Index to use for resulting frame. Will default to np.arange(n) if
    no indexing information part of input data and no index provided
columns : Index or array-like
    Column labels to use for resulting frame. Will default to
    np.arange(n) if no column labels are provided
dtype : dtype, default None
    Data type to force. Only a single dtype is allowed. If None, infer
copy : boolean, default False
    Copy data from inputs. Only affects DataFrame / 2d ndarray input

Examples
--------
Constructing DataFrame from a dictionary.

>>> d = {'col1': [1, 2], 'col2': [3, 4]}
>>> df = pd.DataFrame(data=d)
>>> df
   col1  col2
0     1     3
1     2     4

Notice that the inferred dtype is int64.

>>> df.dtypes
col1    int64
col2    int64
dtype: object

To enforce a single dtype:

>>> df = pd.DataFrame(data=d, dtype=np.int8)
>>> df.dtypes
col1    int8
---Return to continue, q to quit---

#使用type查看類型
In [5]: type(pd.DataFrame)
Out[5]: type
In [6]: type(pd)
Out[6]: module

那么c++中有沒有類似的方法,或者說要是有這些需求要如何處理?

還是我理解錯(cuò)了,只要能用都有.h文件的?

謝謝