Python - 将列移动到 Pandas DataFrame 中的第一个位置?
使用pop()弹出列,并使用插入insert()methodi.e。移动一列。首先,创建一个包含 3 列的 DataFrame -
dataFrame = pd.DataFrame({
"Student": ['Jack', 'Robin', 'Ted', 'Marc', 'Scarlett', 'Kat', 'John'],"Result": ['Pass', 'Fail', 'Pass', 'Fail', 'Pass', 'Pass', 'Pass'],"Roll Number": [ 5, 10, 3, 8, 2, 9, 6]
}
)
通过首先弹出列,将列“卷号”移动到第一个位置 -
shiftPos = dataFrame.pop("Roll Number")
在第一个位置插入列 -
dataFrame.insert(0, "Roll Number", shiftPos)
示例
以下是代码 -
import pandas as pd输出结果# 创建数据帧
dataFrame = pd.DataFrame(
{
"Student": ['Jack', 'Robin', 'Ted', 'Marc', 'Scarlett', 'Kat', 'John'],"Result": ['Pass', 'Fail', 'Pass', 'Fail', 'Pass', 'Pass', 'Pass'],"Roll Number": [ 5, 10, 3, 8, 2, 9, 6]
}
)
print"DataFrame ...\n",dataFrame
# move column "Roll Number" to 1st position
shiftPos = dataFrame.pop("Roll Number")
# 在第一个位置插入列
dataFrame.insert(0, "Roll Number", shiftPos)
print"\nUpdated DataFrame after moving a column to the first position...\n",dataFrame
这将产生以下输出 -
DataFrame ...Result Roll Number Student
0 Pass 5 Jack
1 Fail 10 Robin
2 Pass 3 Ted
3 Fail 8 Marc
4 Pass 2 Scarlett
5 Pass 9 Kat
6 Pass 6 John
Updated DataFrame after moving a column to the first position...
Roll Number Result Student
0 5 Pass Jack
1 10 Fail Robin
2 3 Pass Ted
3 8 Fail Marc
4 2 Pass Scarlett
5 9 Pass Kat
6 6 Pass John
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