How to concatenate multiple pandas.DataFrames without running into MemoryError

Question

I have three DataFrames that I\'m trying to concatenate.

concat_df = pd.concat([df1, df2, df3])

This results in a MemoryError. How can I re

Answer 1

I'm grateful to the community for their answers. However, in my case, I found out that the problem was actually due to the fact that I was using 32 bit Python.

There are memory limits defined for Windows 32 and 64 bit OS. For a 32 bit process, it is only 2 GB. So, even if your RAM has more than 2GB, and even if you're running the 64 bit OS, but you are running a 32 bit process, then that process will be limited to just 2 GB of RAM - in my case that process was Python.

I upgraded to 64 bit Python, and haven't had a memory error since then!

Other relevant questions are: Python 32-bit memory limits on 64bit windows, Should I use Python 32bit or Python 64bit, Why is this numpy array too big to load?