Question

我在excel文件中有一个大约27列的小型数据框。我实际上对编码很陌生，需要帮助将一个数据帧分成各种excel文件，基于数据帧的列号。我尝试了一个小代码，它给了我同样的错误：

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import openpyxl
from pandas import ExcelWriter

data = pd.read_excel('/Users/jorge/Desktop/Data/Book1.xlsx')
counts, bins, patches = plt.hist(data.values, bins=range(0, 
int(max(data.values)+5), 5))
df = pd.DataFrame({'bin_leftedge': bins[:-1], 'count': counts})
df.columns= np.arange(0, len(data.columns))
for i in range (0, 27):
    name = '/Users/user/Desktop/Data/t40-%d.xlsx' % (i+1)
    print (name)
    print (header[i])

    writer = pd.ExcelWriter(name)
    df.to_excel(writer,'Sheet2',columns=header[i])
    writer.save()

为数据框的列命名并尝试将EACH列导出为单独的文件，但我不断收到错误：

 AttributeError: 'Series' object has no attribute 'columns'

有什么我做错了，我怎么能这样做之后，它使用适当的bin将直方图输出到基于列数的不同excel文件，所以会有27个excel文件27列。非常感谢任何帮助，谢谢。

Answer 1

试试这个

import pandas as pd
from pandas import ExcelWriter

data = pd.read_excel('/Users/jorge/Desktop/Data/Book1.xlsx',header=None)
for i in data.columns:
     name = '/Users/user/Desktop/Data/t40-'+str(i+1)+'.xlsx'
     writer = pd.ExcelWriter(name)
     pd.DataFrame(data[i]).to_excel(writer,'Sheet1')
     writer.save()

Answer 2

用这个改变循环

for i in range (0, 27):
    name = '/Users/user/Desktop/Data/t40-%d.xlsx' % (i+1)
    writer = pd.ExcelWriter(name)
    df2 = pd.DataFrame(df[i])
    df2.to_excel(writer,'Sheet2',index = False, header = False)
    writer.save()

将Dataframe导出到多个excel文件中

2 个答案: