如何将 Numpy 数组转换为 Panda DataFrame-Python问题

How to convert Numpy array to Panda DataFrame(如何将 Numpy 数组转换为 Panda DataFrame)

本文介绍了如何将 Numpy 数组转换为 Panda DataFrame的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

我有一个如下所示的 Numpy 数组:

I have a Numpy array that looks like this:

[400.31865662]
[401.18514808]
[404.84015554]
[405.14682194]
[405.67735105]
[273.90969447]
[274.0894528]

当我尝试使用以下代码将其转换为 Panda Dataframe

When I try to convert it to a Panda Dataframe with the following code

y = pd.DataFrame(data)
print(y)

打印时我得到以下输出.为什么我会得到所有这些零?

I get the following output when printing it. Why do I get all those zéros?

            0
0  400.318657
            0
0  401.185148
            0
0  404.840156
            0
0  405.146822
            0
0  405.677351
            0
0  273.909694
            0
0  274.089453

我想得到一个看起来像这样的单列数据框:

I would like to get a single column dataframe which looks like that:

400.31865662
401.18514808
404.84015554
405.14682194
405.67735105
273.90969447
274.0894528

推荐答案

你可以展平 numpy 数组:

You could flatten the numpy array:

import numpy as np
import pandas as pd

data = [[400.31865662],
        [401.18514808],
        [404.84015554],
        [405.14682194],
        [405.67735105],
        [273.90969447],
        [274.0894528]]

arr = np.array(data)

df = pd.DataFrame(data=arr.flatten())

print(df)

输出

            0
0  400.318657
1  401.185148
2  404.840156
3  405.146822
4  405.677351
5  273.909694
6  274.089453

这篇关于如何将 Numpy 数组转换为 Panda DataFrame的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持编程学习网！