Can you add a second dataframe to the end of a dataframe?

This is my second dataframe containing one column. I want to add the column of second dataframe to the original dataframe at the end.Indices are different for both dataframes. I did like this Assuming the size of your dataframes are the same, you can assign the RESULT_df ['RESULT'].values to your original dataframe.
Likewise, do you have to append two DataFrames to one Dataframe?
The two DataFrames are not required to have the same set of columns. The append method does not change either of the original DataFrames. Instead, it returns a new DataFrame by appending the original two.
Just so, how to add rows to the end of a Dataframe? #add row to end of DataFrame df.loc[len(df.index)] = [value1, value2, value3, ...] And you can use the df.append () function to append several rows of an existing DataFrame to the end of another DataFrame: The following examples show how to use these functions in practice.
Also Know, how to append Dataframe in pandas python examples?
Pandas DataFrame.append() function appends rows of a DataFrame to the end of caller DataFrame and returns a new object. Examples are provided for scenarios where both the DataFrames have similar columns and non-similar columns.
Accordingly, how to add new columns to a Dataframe?
Specifically, when adding columns to the dataframe we are going to use the following 3 methods: 1 Simply assigning new data to the dataframe 2 The assign () method to add new columns 3 The insert () method to add new columns More ...

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How to add a dataframe to pandas dataframe?

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How to convert sklearn dataset to pandas dataframe?

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How to add column to pandas dataframe?

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How to group dataframe by columns in pandas?

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