Reading Large File as Pandas DataFrame Memory Error Issue

[blazecoolman]

Wouldn't concatenation of the chunks produce a massive DataFrame the same size as the original? That would cause the same memory issues, right?

If I remember correctly, the max size will be RAM limited.

[DividendCompass]

I really enjoyed this video, man! Very helpful. I'll apply the chunk size solution to my code and see if it fixes the memory issue.

[ViniciusRaphael]

Thank you very much. I was struggling to understand how to work with this first huge dataset and you really found an "easy" solution. Nothing too complicated for a beginner to understand.

[demianjennings]

I've watched several of your videos. They have been extremely helpful. Your're doing a great job.

[DenisTunkin]

Absolutely fantastic, Soumil! Thanks a lot for the video. A positive attitude is always a key to success. Thanks mate!

[skipa]

How would chunks help, if I get a memory error trying to merge two datasets? How would I go about this one?

[kunalkumartoolsy]

This does not work, I am still getting memory error : unable to allocate 34.7 mb for array with shape 91, 5000

[clemensschiewek]

thx for the helpful viedo. I hope you get more viewers later on. It helped me a lot.

[geekydanish]

we can also use joblib to enable the based on the number of cores for fast fetching of dataset

[harshithavarma]

What to do if it is aldready loaded data set and trying to merge dfs together and facing error called unable to allocate 64GIb how to solve can you please respond tried many ways nothing did work

[turning_point]

I'm getting this memory error while running the following code on a 64 bit python.

import xarray as xr
hourly_dew =
tp = hourly_dew['d2m']
d2m= hourly_dew.shift(time=-1).dropna(dim='time', how='all')
sds =
print(sds)



Any suggestions will highly be appreciated.

[ranjanshrestha]

But if you create MyList with all the dfs, doesn’t it create a large MyList that might cause memory issue. Since you have a csv file with 6000 data points which might not be an issue. What’s your thoughts

[sebascol]

Thaks so much for the video. It was very helpful

[varadarajmysoresrinivasan]

how to resolve issue related to memory error: Unable to allocate 51Gb of memory for an array with shape () .
This occurs while reading large data file into a numpy array

[MS-ryim]

But why r u doing that . I mean, U r saving memory at the beginning by chunk out the dataframe and then u again loading whole dataset in memory to process it.. What is the point doing that?

[kunjshah]

Hey
How to remove this error:
pandas.errors.ParserError: Error tokenizing data. C error: Expected 12 fields in line 2, saw 13

[PradeepKumar-jjfb]

I am trying to store the json content from api call into dataframe, but its showing the memory error, could you please help me

[thetoplist]

this method good for loading the data i did this for load >13 million rows of csv but when im trying drop null in one column its showing memory error

[ashviniraykar]

It's really really helpful for me thanks

[rajeshom]

Hi, I'm having Memery error problem while reading 90lk records from oracle database in python with chunks, can you please provide the complete code with solution