Python 3.x 带标签的Python数据帧单行

我想将数据帧设置为：

import pandas as pd
data = ["X", "Y", "Z", "A", "B"]
label = ['a','b','c','d','e']
df = pd.DataFrame(data, columns=label)
print(df)

我越来越

a b c d e 
X Y Z A B

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如何修复此问题以获得所需的数据帧

将其作为列表传递

ValueError: Shape of passed values is (1, 5), indices imply (5, 5)

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如果大数据-将列表转换为

numpy数组

，然后：

计时：

df = pd.DataFrame(np.array(data).reshape(-1, len(data)), columns=label)
print(df)
   a  b  c  d  e
0  X  Y  Z  A  B

df = pd.DataFrame(np.array(data).reshape(-1, len(data)), columns=label)
print(df)
   a  b  c  d  e
0  X  Y  Z  A  B

N = 100
data = ["X", "Y", "Z", "A", "B"] * N
label = ['a','b','c','d','e'] * N

In [30]: %timeit pd.DataFrame([data], columns=label)
10 loops, best of 3: 178 ms per loop

In [31]: %timeit pd.DataFrame(np.array(data).reshape(-1, len(data)), columns=label)
1000 loops, best of 3: 1.06 ms per loop

N = 1000

In [35]: %timeit pd.DataFrame([data], columns=label)
1 loop, best of 3: 1.7 s per loop

In [36]: %timeit pd.DataFrame(np.array(data).reshape(-1, len(data)), columns=label)
100 loops, best of 3: 3.83 ms per loop