Python 如何将矩阵转换为熊猫数据框
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How to convert matrix to pandas data frame
提问by Hangon
I'm trying to convert a matrix into a pandas data frame:
我正在尝试将矩阵转换为熊猫数据框：
matrixA={}
matrixA[0,0]='a'
matrixA[0,1]='b'
matrixA[1,0]='c'
matrixA[1,1]='d'
Like this:
像这样：
import pandas as pd
pd.DataFrame(matrixA)
I get an error.
我收到一个错误。
采纳答案by greole
As already said your are not creating a matrix but a python dictionary. However a dict can serve as parameter to create a dataframe, but you reversed the indexing order.
如前所述，您不是在创建矩阵，而是在创建 python字典。但是，dict 可以作为参数来创建数据帧，但您颠倒了索引顺序。
import pandas as pd
matrixA={}
matrixA['a']=[0,0]
matrixA['b']=[0,1]
pd.DataFrame(matrixA)
a b
0 0 0
1 0 1
Additionally you can use numpysmatrix
此外，您可以使用numpys矩阵
import numpy as np
a = np.matrix('1 2; 3 4')
pd.DataFrame(a)
0 1
0 1 2
1 3 4
回答by mythicalcoder
Well, I was wondering if we could use python's multi-dimensional array. Yes, you can use python matrix (as mentioned in the python official docs) or multi-dimensional arrays and convert into pandas DataFrame.
好吧，我想知道我们是否可以使用python的多维数组。是的，您可以使用python矩阵（如python官方文档中所述）或多维数组并转换为pandas DataFrame。
import pandas as pd
matrix = [
["a", 1],
["b", 2]
]
pd.DataFrame(matrix)
0 1
0 a 1
1 b 2
