兩種不同大小的DataFrame相乘

Question

它需要將 ini_pop 的第一行與 Existing_Value 的所有行相乘並保存。 如何對 ini_pop DataFrame 的所有行執行此操作？

Answer 1

這是一個荒謬的問題，值得一個荒謬的答案！ （通常我同意@piRSquared）

import numpy as np
ini_pop = np.random.rand(10, 6)

Existing_Value = np.random.rand(149, 6)
Existing_Value = np.where(Existing_Value > .5, 1, 0)

results = {}
for i, v in enumerate(ini_pop):
    A = np.vstack([v]*149)
    results[i] = Existing_Value*A

ini_pop：

Out[62]: 
array([[0.597996  , 0.48470908, 0.34200821, 0.48973549, 0.31928532,
        0.00990472],
       [0.88490691, 0.85060902, 0.02761904, 0.67543623, 0.24011947,
        0.63160755],
       [0.51655439, 0.8541867 , 0.30350761, 0.91582466, 0.92503826,
        0.27640764],
       [0.14740895, 0.48664955, 0.39666046, 0.03173014, 0.44483261,
        0.81007225],
       [0.41793196, 0.63657912, 0.66755118, 0.56862476, 0.6962219 ,
        0.36292305],
       [0.99399587, 0.41775574, 0.15244959, 0.66047238, 0.27718652,
        0.29360273],
       [0.72210127, 0.51900693, 0.53540488, 0.91054719, 0.23536984,
        0.21565889],
       [0.98030203, 0.47739105, 0.22477224, 0.63551278, 0.73896193,
        0.06814704],
       [0.0152948 , 0.08646868, 0.42559336, 0.44558531, 0.29017913,
        0.64896315],
       [0.06043923, 0.83571793, 0.21154994, 0.87061577, 0.23682892,
        0.31632989]])

現有值：

Out[63]: 
array([[1, 1, 0, 0, 0, 1],
       [0, 1, 1, 1, 0, 1],
       [1, 1, 0, 0, 1, 0],
       [0, 1, 1, 0, 1, 0],
       [0, 1, 1, 1, 0, 0],
       [0, 0, 0, 1, 0, 1],
       [1, 1, 0, 1, 0, 1],
       [1, 0, 0, 0, 1, 0],
       [0, 1, 1, 0, 0, 0],
       [1, 0, 1, 1, 0, 0],
       [0, 0, 1, 0, 1, 1],
       [1, 0, 1, 0, 0, 1],
       [1, 1, 1, 0, 1, 1],
...

A（對於 ini_pop 的第一行）：

Out[67]: 
array([[0.597996  , 0.48470908, 0.34200821, 0.48973549, 0.31928532,
        0.00990472],
       [0.597996  , 0.48470908, 0.34200821, 0.48973549, 0.31928532,
        0.00990472],
       [0.597996  , 0.48470908, 0.34200821, 0.48973549, 0.31928532,
        0.00990472],
       [0.597996  , 0.48470908, 0.34200821, 0.48973549, 0.31928532,
        0.00990472],
       [0.597996  , 0.48470908, 0.34200821, 0.48973549, 0.31928532,
        0.00990472],
       [0.597996  , 0.48470908, 0.34200821, 0.48973549, 0.31928532,
        0.00990472],
...

結果存儲為字典，由 ini_pop 的每一行乘以 Existing_value 的整體組成（因此字典中存儲了 10 個值，每個 ini_pop 行一個）。

這是結果[0]：

Out[69]: 
array([[0.597996  , 0.48470908, 0.        , 0.        , 0.        ,
        0.00990472],
       [0.        , 0.48470908, 0.34200821, 0.48973549, 0.        ,
        0.00990472],
       [0.597996  , 0.48470908, 0.        , 0.        , 0.31928532,
        0.        ],
       [0.        , 0.48470908, 0.34200821, 0.        , 0.31928532,
        0.        ],
       [0.        , 0.48470908, 0.34200821, 0.48973549, 0.        ,
        0.        ],
       [0.        , 0.        , 0.        , 0.48973549, 0.        ,
        0.00990472],
       [0.597996  , 0.48470908, 0.        , 0.48973549, 0.        ,
        0.00990472],
       [0.597996  , 0.        , 0.        , 0.        , 0.31928532,
        0.        ],
       [0.        , 0.48470908, 0.34200821, 0.        , 0.        ,
        0.        ],
       [0.597996  , 0.        , 0.34200821, 0.48973549, 0.        ,
        0.        ],
       [0.        , 0.        , 0.34200821, 0.        , 0.31928532,
        0.00990472],
...