python - 合并具有相同列名和不同行数的多个 DataFrame

Question

给定多个数据帧，df1, df2, df3, df4...具有相同的列名，仅在行数上有所不同，如下所示：

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)

我是否合并，连接你加入

pdList = [df1, df2, df3, df4]

怎么会这样？

标签： pythonpandas

Answer 1

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