所以我有一个大致如下的数据框:
name1 name2 name3
123 456 678
123 456 678
123 456 678
和另一个看起来像这样的数据框
name2 abc
name3 cdf
name1 fgh
有没有办法让第一个数据帧列名如下:
fgh abc cdf
123 456 678
123 456 678
123 456 678
感谢。
答案 0 :(得分:1)
使用rename
Series
index
A
print (df2)
A B
0 name2 abc
1 name3 cdf
2 name1 fgh
df1 = df1.rename(columns=df2.set_index('A')['B'])
print (df1)
fgh abc cdf
0 123 456 678
1 123 456 678
2 123 456 678
列print (df2.set_index('A')['B'])
A
name2 abc
name3 cdf
name1 fgh
Name: B, dtype: object
:
dictionary
<强>详细强>:
zip
由df1 = df1.rename(columns=dict(zip(df2.A, df2.B)))
创建的print (dict(zip(df2.A, df2.B)))
{'name3': 'cdf', 'name1': 'fgh', 'name2': 'abc'}
:
<ComboBox x:Name="ImportDate"
DisplayMemberPath="FileDate"
SelectedValuePath="ID"
ItemsSource="{Binding Mode=OneWay}"
SelectedIndex="0"
Style="{DynamicResource sanComboBox_Standard}" />
<强>详细强>:
<html>
<body>
<form>
function getinput()
{
index ++;
var singleRecord = "";
**singleRecord += " Employee_id : <input type='text' name='txt_Employee_id"+index+"'>";** //here employee_id should fetch dynamically from other jsp page
singleRecord += " Project_name : <input type='text' name='txt_project_name"+index+"'>";
singleRecord += "Project/Task : <input type='text' name='txt_Header"+index+"'>";
singleRecord += "Department : <input type='text' name='txt_Department"+index+"'>";
singleRecord += "Description : <input type='text' name='txt_description"+index+"'>";
<!--singleRecord+="Date : <input type='date' name='datainsertdate"+index+"'>"; --->
singleRecord += "<hr/>";
$("#inputs").append(singleRecord);
$("#count").val(index);
}
</script>
</head>
<body background="123-slideshow\blue_background.jpg">
<form action="EmployeeVendorValidation.jsp" method="post">
<br><br><br><br>
<input type="hidden" name="count" id="count"/>
<div id="inputs">
</div>
<button type="button" onclick="getinput()" class="button button5">Add</button>
<button type="submit" class="button button2">Submit</button>
</form>
</body>
</html>
答案 1 :(得分:0)
您可以使用Series
get
并将其分配回来
df.columns=s.get(df.columns)
df
Out[223]:
s1 fgh abc cdf
0 123 456 678
1 123 456 678
2 123 456 678