连接 pandas 中两个数据框的行 [英] Concatenate rows of two dataframes in pandas

问题描述

我需要将两个具有相等行数(nRow)的数据帧df_a和df_b一个接一个地串联在一起，而无需考虑任何键.此功能类似于R programming language中的cbind.每个数据帧中的列数可能不同.

I need to concatenate two dataframes df_a anddf_b having equal number of rows (nRow) one after another without any consideration of keys. This function is similar to cbind in R programming language. The number of columns in each dataframe may be different.

结果数据帧将具有相同的行数nRow，并且列数等于两个数据帧中的列数之和.换句话说，这是两个数据框的盲列连接.

The resultant dataframe will have the same number of rows nRow and number of columns equal to the sum of number of columns in both the dataframes. In othe words, this is a blind columnar concatenation of two dataframes.

import pandas as pd
dict_data = {'Treatment': ['C', 'C', 'C'], 'Biorep': ['A', 'A', 'A'], 'Techrep': [1, 1, 1], 'AAseq': ['ELVISLIVES', 'ELVISLIVES', 'ELVISLIVES'], 'mz':[500.0, 500.5, 501.0]}
df_a = pd.DataFrame(dict_data)
dict_data = {'Treatment1': ['C', 'C', 'C'], 'Biorep1': ['A', 'A', 'A'], 'Techrep1': [1, 1, 1], 'AAseq1': ['ELVISLIVES', 'ELVISLIVES', 'ELVISLIVES'], 'inte1':[1100.0, 1050.0, 1010.0]}
df_b = pd.DataFrame(dict_data)

推荐答案

调用对于合并，联接和连接在线.

例如，由于没有冲突列，因此可以

For example, as you have no clashing columns you can merge and use the indices as they have the same number of rows:

In [6]:

df_a.merge(df_b, left_index=True, right_index=True)
Out[6]:
        AAseq Biorep  Techrep Treatment     mz      AAseq1 Biorep1  Techrep1  \
0  ELVISLIVES      A        1         C  500.0  ELVISLIVES       A         1   
1  ELVISLIVES      A        1         C  500.5  ELVISLIVES       A         1   
2  ELVISLIVES      A        1         C  501.0  ELVISLIVES       A         1   

  Treatment1  inte1  
0          C   1100  
1          C   1050  
2          C   1010  

并且出于与上述相同的原因，一个简单的 join 也可以:

And for the same reasons as above a simple join works too:

In [7]:

df_a.join(df_b)
Out[7]:
        AAseq Biorep  Techrep Treatment     mz      AAseq1 Biorep1  Techrep1  \
0  ELVISLIVES      A        1         C  500.0  ELVISLIVES       A         1   
1  ELVISLIVES      A        1         C  500.5  ELVISLIVES       A         1   
2  ELVISLIVES      A        1         C  501.0  ELVISLIVES       A         1   

  Treatment1  inte1  
0          C   1100  
1          C   1050  
2          C   1010  

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