pandas merge columns based on condition

You should be careful with multiple concat() calls, as the many copies that are made may negatively affect performance. Find standard deviation of Pandas DataFrame columns , rows and Series. Get tips for asking good questions and get answers to common questions in our support portal. MathJax reference. They specify a suffix to add to any overlapping columns but have no effect when passing a list of other DataFrames. The join is done on columns or indexes. Pandas - Merge two dataframes with different columns You might notice that this example provides the parameters lsuffix and rsuffix. These arrays are treated as if they are columns. Has 90% of ice around Antarctica disappeared in less than a decade? Since we're still looping through every row (before: using, I don't think you can get any better than this in terms of performance, Why don't you use a list-comprehension instead of, @MathiasEttinger good call. You can also flip this by setting the axis parameter: Now you have only the rows that have data for all columns in both DataFrames. import pandas as pd import numpy as np def merge_columns (my_df): l = [] for _, row in my_df.iterrows (): l.append (pd.Series (row).str.cat (sep='::')) empty_df = pd.DataFrame (l, columns= ['Result']) return empty_df.to_string (index=False) if __name__ == '__main__': my_df = pd.DataFrame ( { 'Apple': ['1', '4', '7'], 'Pear': ['2', '5', '8'], How to Handle duplicate attributes in BeautifulSoup ? Note that .join() does a left join by default so you need to explictly use how to do an inner join. It then displays the differences. If you want a fresh, 0-based index, then you can use the ignore_index parameter: As noted before, if you concatenate along axis 0 (rows) but have labels in axis 1 (columns) that dont match, then those columns will be added and filled in with NaN values. Python Excel Cell Color536 = 256*256) Now we are understanding how Concatenate two columns in a Pandas DataFrame | EasyTweaks.com A length-2 sequence where each element is optionally a string

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