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- Concatenate rows of two dataframes in pandas 2 answers
在pandas 2答案中连接两个数据帧的行
I have two Pandas DataFrames, each with different columns. I want to basically glue them together horizontally (they each have the same number of rows so this shouldn't be an issue).
我有两个Pandas DataFrame,每个都有不同的列。我想基本上将它们水平粘合在一起(它们每个都有相同的行数,所以这不应该是一个问题)。
There must be a simple way of doing this but I've gone through the docs and concat isn't what I'm looking for (I don't think).
必须有一个简单的方法来做这个,但我已经完成了文档和concat不是我正在寻找的(我不认为)。
Any ideas?
Thanks!
1 个解决方案
#1
6
concat is indeed what you're looking for, you just have to pass it a different value for the "axis" argument than the default. Code sample below:
concat确实是你正在寻找的东西,你只需要为“轴”参数传递一个不同于默认值的值。代码示例如下:
import pandas as pddf1 = pd.DataFrame({ 'A': [1,2,3,4,5], 'B': [1,2,3,4,5]})df2 = pd.DataFrame({ 'C': [1,2,3,4,5], 'D': [1,2,3,4,5]})df_concat = pd.concat([df1, df2], axis=1)print(df_concat)#1
6
concat is indeed what you're looking for, you just have to pass it a different value for the "axis" argument than the default. Code sample below:
concat确实是你正在寻找的东西,你只需要为“轴”参数传递一个不同于默认值的值。代码示例如下:
import pandas as pddf1 = pd.DataFrame({ 'A': [1,2,3,4,5], 'B': [1,2,3,4,5]})df2 = pd.DataFrame({ 'C': [1,2,3,4,5], 'D': [1,2,3,4,5]})df_concat = pd.concat([df1, df2], axis=1)print(df_concat)