Question

在pandas中命名数据帧时遇到问题。有没有办法自动命名和索引更改而不是手动逐行编写？

xl=pd.ExcelFile('Movement of BSE RIK.xlsx',header=0,dtype={'Open Price 

(Rs.)':np.float64})

p=xl.sheet_names

df= xl.parse('D-0')

df1= xl.parse('D-1')

df2= xl.parse('D-2')

df3= xl.parse('D-3')

df4= xl.parse('D-4')

df5= xl.parse('D-5')

df6= xl.parse('D-6')

df7= xl.parse('D-7')

df8= xl.parse('D-8')


df9= xl.parse('D-9')

df10= xl.parse('D-10')

df11= xl.parse('D-11')

df12= xl.parse('D-12')

df13= xl.parse('D-13')

df14= xl.parse('D-14')

df.set_index('Security Name',inplace=True)
df1.set_index('Security Name',inplace=True)
df2.set_index('Security Name',inplace=True)
df3.set_index('Security Name',inplace=True)
df4.set_index('Security Name',inplace=True)
df5.set_index('Security Name',inplace=True)
df6.set_index('Security Name',inplace=True)
df7.set_index('Security Name',inplace=True)
df8.set_index('Security Name',inplace=True)
df9.set_index('Security Name',inplace=True)
df10.set_index('Security Name',inplace=True)
df11.set_index('Security Name',inplace=True)
df12.set_index('Security Name',inplace=True)
df13.set_index('Security Name',inplace=True)
df14.set_index('Security Name',inplace=True)

此代码非常冗长，我必须使用这些数据帧名称进一步工作。简而言之，我想最小化这些代码

Answer 1

我认为您可以使用参数sheetname=None来创建dict的{{1}}：

DataFrames

然后您可以选择dfs = pd.read_excel('Movement of BSE RIK.xlsx', header=0, dtype={'Open Price (Rs.)':np.float64}, sheetname=None, index_col='Security Name')：

DataFrames

file示例：

print (dfs['D-0'])

print (type(dfs['D-0']))
<class 'pandas.core.frame.DataFrame'>

Answer 2

您可以生成DataFrames字典：

<div class="container">
  <div class="logo">
    <img src="C:\Users\Ragul\Desktop\my resume html\images.png">
  </div>
 </div>

.container {
 width:100%;
}

.logo img {
  float: left;
  border: 1px solid black;
}

/* clear float */
.container:after {
  content:" ";
  display:table;
  clear:both;
}

如何动态更改datafrmae名称

2 个答案: