Simple form vertically connected requirements consistent field, ignored index
A mode: res = df1.append ([df2, df3, df5], ignore_index = True)
Second way: res = pd.concat ([df1, df2, df3], axis = 0, ignore_index = True)
About merger
res = pd.concat([df1,df2,df3],axis=1,ignore_index=False)
When a field is not the same column, we often use to join parameter,
join to each other will be cut off without lifting between data when the 'inner',
NaN values will join with each other to fill the data when there is no 'outer'
res = pd.concat([df1,df2,df3],join=‘inner’,ignore_index=True)
Use join_axes parameters can be specified in the DataFrame index to merge
res = pd.concat([df4,df5],axis=1,join_axes=[df5.index])