import pandas as pd
df1=pd.DataFrame({'a':[5,5,5,5],'b':[4,4,4,4]},index=[1,2,3,4])
df2=pd.DataFrame({'a':[6,6,6,6],'b':[3,3,3,3]},index=[1,2,3,4])
df1
a | b | |
---|---|---|
1 | 5 | 4 |
2 | 5 | 4 |
3 | 5 | 4 |
4 | 5 | 4 |
pd.concat([df1,df2])
a | b | |
---|---|---|
1 | 5 | 4 |
2 | 5 | 4 |
3 | 5 | 4 |
4 | 5 | 4 |
1 | 6 | 3 |
2 | 6 | 3 |
3 | 6 | 3 |
4 | 6 | 3 |
pd.concat([df1,df2],ignore_index=True)
a | b | |
---|---|---|
0 | 5 | 4 |
1 | 5 | 4 |
2 | 5 | 4 |
3 | 5 | 4 |
4 | 6 | 3 |
5 | 6 | 3 |
6 | 6 | 3 |
7 | 6 | 3 |
a=[1,2,3,4,5,6,7,8]
b=[5,6,4,3,2,4,5,2]
sumdf=pd.DataFrame()
for x,y in zip(a,b):
df=pd.DataFrame({'a':[x],'b':[y]})
sumdf=pd.concat([sumdf,df],ignore_index=True)
sumdf
a | b | |
---|---|---|
0 | 1 | 5 |
1 | 2 | 6 |
2 | 3 | 4 |
3 | 4 | 3 |
4 | 5 | 2 |
5 | 6 | 4 |
6 | 7 | 5 |
7 | 8 | 2 |