python在执行大型矩阵乘法时崩溃了两次

Question

我有两个矩阵，大小如下m=（15715203）n=（20316384）。我正在用python做矩阵乘法，代码如图所示，我正在使用canopy软件运行此代码，但在完成之前，它占用了大量内存空间并崩溃请任何人对此问题提供帮助？你知道吗

  import pandas as pd
m = pd.read_csv("Pmatrix.csv")
row0=m.shape[0]
len0=len(m.columns)
print row0
print len0

n = pd.read_csv("Qmatrix.csv")
row1=n.shape[0]
len1=len(n.columns)

print row1
print len1


def matrixmult (A, B):
    row0 = m.shape[0]

    len0 = len(m.columns)
    row1 = n.shape[0]
    len1 = len(n.columns)

    if len0 != row1:
      print "Cannot multiply the two matrices. Incorrect dimensions."
      Y=A.shape
      Z=B.shape
      print Y
      print Z

      return

    # Create the result matrix
    # Dimensions would be row0 x len1
    C = [[0 for row in range(len1)] for col in range(row0)]
    print C

    for i in range(row0):
        for j in range(len1):
            for k in range(len0):
                C[i][j] += A[i][k] * B[k][j]
    return C