Python 是否可以使用pandas将重塑后的数据保存/导出到csv/text/h5文件中？

我发现这个问题：

我修改了脚本以将结果保存在csv文件中，但出现了一个错误

AttributeError: 'numpy.ndarray' object has no attribute 'to_csv'

这是剧本。基本上我只是加了一句

to_csv()

去吧

import pandas as pd

df = pd.read_csv("test.csv")

start = 0
for i in range(0, len(df.index)):
    if (i + 1)%10 == 0:
        result = df['Break'].iloc[start:i+1].reshape(2,5)
        start = i + 1

        result.to_csv('testing.csv')

我的问题是，有可能像这样保存结果吗

[['ww' 'ee' 'qq' 'xx' 'dd']
 ['gg' 'hh' 'tt' 'yy' 'uu']]
[['ii' 'oo' 'pp' 'mm' 'ww']
 ['zz' 'cc' 'rr' 'tt' 'll']] 

[ 266.77832991  201.06347505  446.00066136  499.76736079  295.15519906
  214.50514991  422.1043505   531.13126879  287.68760191  201.06347505
  402.68859792  478.85808879  286.19408248  192.10235848]

[['ww' 'ee' 'qq' 'xx' 'dd']
 ['gg' 'hh' 'tt' 'yy' 'uu']]
[['ii' 'oo' 'pp' 'mm' 'ww']
 ['zz' 'cc' 'rr' 'tt' 'll']]

a = np.asarray([ [1,2,3], [4,5,6], [7,8,9] ])

numpy.savetxt("foo.csv", a, delimiter=",")

作为csv文件

从结果中我看到，“ww”到“uu”（第一个矩阵）可以被视为第一行，而第二个矩阵（“ii”到“ll”）可以被视为第二行，可以导出为csv文件（或者其他文件格式；h5或文本）

谢谢你的帮助

[更新]

我已经看过了可能重复的问题，但我认为我的问题有点不同，因为另一个问题显示输出是这样的

[['ww' 'ee' 'qq' 'xx' 'dd']
 ['gg' 'hh' 'tt' 'yy' 'uu']]
[['ii' 'oo' 'pp' 'mm' 'ww']
 ['zz' 'cc' 'rr' 'tt' 'll']] 

[ 266.77832991  201.06347505  446.00066136  499.76736079  295.15519906
  214.50514991  422.1043505   531.13126879  287.68760191  201.06347505
  402.68859792  478.85808879  286.19408248  192.10235848]

[['ww' 'ee' 'qq' 'xx' 'dd']
 ['gg' 'hh' 'tt' 'yy' 'uu']]
[['ii' 'oo' 'pp' 'mm' 'ww']
 ['zz' 'cc' 'rr' 'tt' 'll']]

a = np.asarray([ [1,2,3], [4,5,6], [7,8,9] ])

numpy.savetxt("foo.csv", a, delimiter=",")

而我的是这样

[['ww' 'ee' 'qq' 'xx' 'dd']
 ['gg' 'hh' 'tt' 'yy' 'uu']]
[['ii' 'oo' 'pp' 'mm' 'ww']
 ['zz' 'cc' 'rr' 'tt' 'll']] 

[ 266.77832991  201.06347505  446.00066136  499.76736079  295.15519906
  214.50514991  422.1043505   531.13126879  287.68760191  201.06347505
  402.68859792  478.85808879  286.19408248  192.10235848]

[['ww' 'ee' 'qq' 'xx' 'dd']
 ['gg' 'hh' 'tt' 'yy' 'uu']]
[['ii' 'oo' 'pp' 'mm' 'ww']
 ['zz' 'cc' 'rr' 'tt' 'll']]

a = np.asarray([ [1,2,3], [4,5,6], [7,8,9] ])

numpy.savetxt("foo.csv", a, delimiter=",")

我也尝试了那里提供的答案，但有错误。 这是我试过的

import pandas as pd
import numpy as np

df = pd.read_csv("test.csv")

start = 0
for i in range(0, len(df.index)):
    if (i + 1)%10 == 0:
        result = df['Break'].iloc[start:i+1].reshape(2,5)
        start = i + 1
        save = np.savetxt('testing.csv', result, delimiter=' , ')

错误呢

TypeError: Mismatch between array dtype ('object') and format specifier ('%.18e , %.18e , %.18e , %.18e , %.18e')

---

给定这样一个numpy数组

[['ww' 'ee' 'qq' 'xx' 'dd']
 ['gg' 'hh' 'tt' 'yy' 'uu']]
[['ii' 'oo' 'pp' 'mm' 'ww']
 ['zz' 'cc' 'rr' 'tt' 'll']] 

[ 266.77832991  201.06347505  446.00066136  499.76736079  295.15519906
  214.50514991  422.1043505   531.13126879  287.68760191  201.06347505
  402.68859792  478.85808879  286.19408248  192.10235848]

[['ww' 'ee' 'qq' 'xx' 'dd']
 ['gg' 'hh' 'tt' 'yy' 'uu']]
[['ii' 'oo' 'pp' 'mm' 'ww']
 ['zz' 'cc' 'rr' 'tt' 'll']]

a = np.asarray([ [1,2,3], [4,5,6], [7,8,9] ])

numpy.savetxt("foo.csv", a, delimiter=",")

您可以像这样将其保存为csv文件

[['ww' 'ee' 'qq' 'xx' 'dd']
 ['gg' 'hh' 'tt' 'yy' 'uu']]
[['ii' 'oo' 'pp' 'mm' 'ww']
 ['zz' 'cc' 'rr' 'tt' 'll']] 

[ 266.77832991  201.06347505  446.00066136  499.76736079  295.15519906
  214.50514991  422.1043505   531.13126879  287.68760191  201.06347505
  402.68859792  478.85808879  286.19408248  192.10235848]

[['ww' 'ee' 'qq' 'xx' 'dd']
 ['gg' 'hh' 'tt' 'yy' 'uu']]
[['ii' 'oo' 'pp' 'mm' 'ww']
 ['zz' 'cc' 'rr' 'tt' 'll']]

a = np.asarray([ [1,2,3], [4,5,6], [7,8,9] ])

numpy.savetxt("foo.csv", a, delimiter=",")

生成的文件foo.csv具有所需的格式

---

它的回答

可能重复了thank you@VaishaliGarg我已经看过了一个关于这个问题的答案，但我觉得我的有点不同。我已经更新了我的问题以反映这一点。