从 numpy 数组创建 pandas df

Question

我有一个 numpy 数组，每个子数组中的每一列都有值 [[column one info], [column2 info], [column3 info]]

我试过这个：

df = pd.DataFrame(data = tarray, index=tindex, columns=column_values)

这个我也试过了

df = pd.DataFrame(tarray, tindex, column_values)

这是整个代码块

import numpy as np
import pandas as pd
tzip = 76000
tname = ['rest1', 'rest2', 'rest3', 'rest4']
taddy = ['1234 main', '1235 main', '1236 main', '1237 main']
column_values = ['zipcode', 'restaurant_name', 'address']
tzip_arr = []
tindex = []
for x in range(len(tname)):
    tindex.append(x)
    tzip_arr.append(tzip)
tarray = np.array([tzip_arr,tname,taddy])
df = pd.DataFrame(tarray, tindex, column_values)
print(df)

现在我得到的错误终于是 ValueError: Shape of passed values is (3, 4), indices imply (4, 3)

Answer 1

可能的解决方案如下：

import numpy as np
import pandas as pd

tzip = 76000
tname = ['rest1', 'rest2', 'rest3', 'rest4']
taddy = ['1234 main', '1235 main', '1236 main', '1237 main']
column_values = ['zipcode', 'restaurant_name', 'address']

tzip_arr = []

for x in range(len(tname)):
    tzip_arr.append(tzip)

tarray = np.array([tzip_arr,tname,taddy])
df = pd.DataFrame(data=tarray.T, columns=column_values)

df

Returns

Answer 2

问题是你没有正确形状的 np 数组，因此你需要像那样重塑它

df = pd.DataFrame(tarray.reshape(3,4).transpose(), tindex, column_values)

从 numpy 数组创建 pandas df

create pandas df from numpy arrya

python

numpy

pandas

numpy-ndarray