将1D数组膨胀为numpy的2D数组 [英] Inflating a 1D array into a 2D array in numpy

问题描述

说我有一个一维数组:

import numpy as np
my_array = np.arange(0,10)
my_array.shape
(10, )

在Pandas中，我想使用此数组创建一个只有一行和10列的DataFrame.例子:

In Pandas I would like to create a DataFrame with only one row and 10 columns using this array. FOr example:

import pandas as pd
import random, string
# Random list of characters to be used as columns
cols = [random.choice(string.ascii_uppercase) for x in range(10)]

但是当我尝试:

pd.DataFrame(my_array, columns = cols)

我得到:

ValueError: Shape of passed values is (1,10), indices imply (10,10)

我认为这是因为Pandas需要2D数组，而我有一个(平坦的)1D数组.有没有办法将我的1D数组充气到2D数组中，或者让Panda在创建数据框时使用1D数组?

I presume this is because Pandas expects a 2D array, and I have a (flat) 1D array. Is there a way to inflate my 1D array into a 2D array or have Panda use a 1D array in the creation of the dataframe?

注意:我使用的是熊猫的最新稳定版本(0.11.0)

Note: I am using the latest stable version of Pandas (0.11.0)

推荐答案

您的值数组的长度为9(值从1到9)，并且您的cols列表的长度为10.

Your value array has length 9, (values from 1 till 9), and your cols list has length 10.

根据您的代码，我不理解您的错误消息，我得到:

I dont understand your error message, based on your code, i get:

ValueError: Shape of passed values is (1, 9), indices imply (10, 9)

这有道理.

尝试:

my_array = np.arange(10).reshape(1,10)

cols = [random.choice(string.ascii_uppercase) for x in range(10)]

pd.DataFrame(my_array, columns=cols)

这将导致:

   F  H  L  N  M  X  B  R  S  N
0  0  1  2  3  4  5  6  7  8  9

这篇关于将1D数组膨胀为numpy的2D数组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IT屋！