我想用这样的熊猫制作一个数据框:
Id Name Gender Math Science English
1 Ram Male 98 92 80
2 Hari Male 30 40 23
3 Gita Female 60 65 77
4 Sita Female 50 45 55
5 Shyam Male 80 88 82
我在python中这样写报价:
import pandas as pd
d = {'Id':[1,2,3,4,5], 'Name':['Ram','Hari','Gita','Sita','Shyam'],'Gender':['Male','Male','Female','Female','Male'],'Math':[98,30,60,50,80],'Science':[92,40,65,45,88],'English':[80,23,77,55,82]}
df = pd.DataFrame(data=d)
print (df)
它给了我这样的输出:
English Gender Id Math Name Science
0 80 Male 1 98 Ram 92
1 23 Male 2 30 Hari 40
2 77 Female 3 60 Gita 65
3 55 Female 4 50 Sita 45
4 82 Male 5 80 Shyam 88
如何删除没有属性的第一列,并按照问题中给出的方式排列属性? 我想要ID,姓名,性别,数学,科学,英语。谢谢
答案 0 :(得分:0)
如果您不希望索引,则可以通过诸如Id
之类的唯一列进行设置。
import pandas as pd
d = {'Id':[1,2,3,4,5], 'Name':['Ram','Hari','Gita','Sita','Shyam'],'Gender':['Male','Male','Female','Female','Male'],'Math':[98,30,60,50,80],'Science':[92,40,65,45,88],'English':[80,23,77,55,82]}
df = pd.DataFrame(data=d)
df.set_index('Id', inplace=True)
print (df)
输出:
Name Gender Math Science English
Id
1 Ram Male 98 92 80
2 Hari Male 30 40 23
3 Gita Female 60 65 77
4 Sita Female 50 45 55
5 Shyam Male 80 88 82
答案 1 :(得分:0)
尝试直接创建DataFrame,而不要传递“ d”
df = pd.DataFrame({'Id': [1, 4, 7, 10], etc...})
然后使用set_index来固定您的ID:
df.set_index('Id')