合并具有相同列名和不同行数的多个DataFrame

Question

给出多个数据框df1，df2，df3，df4 ...具有相同的列名，只是行数不同，例如：

Data columns (total 4 columns):
Name               23 non-null object
Team               23 non-null object
Games              23 non-null int64
Average(Points)    23 non-null float64
dtypes: float64(1), int64(1), object(2)
memory usage: 864.0+ bytes
None (23, 4)
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 69 entries, 0 to 68
Data columns (total 4 columns):
Name               69 non-null object
Team               69 non-null object
Games              69 non-null int64
Average(Points)    69 non-null float64
dtypes: float64(1), int64(1), object(2)

我要合并，还是加入？

pdList = [df1, df2, df3, df4]

怎么办？

Answer 1

pdList = df1.append([df2, df3, df4])