/Python/Read large SAS file ilarger than memory n Python

Read large SAS file ilarger than memory n Python

import pandas as pd
import pyreadstat
filename = 'foo.SAS7BDAT'
CHUNKSIZE = 50000
offset = 0
allChunk,_ = getChunk(row['filePath'], row_limit=CHUNKSIZE, row_offset=offset)
allChunk = allChunk.astype('category')

while True:
    offset += CHUNKSIZE
    # for xpt data, use pyreadstat.read_xpt()
    chunk, _ = pyreadstat.read_sas7bdat(filename, row_limit=CHUNKSIZE, row_offset=offset)
    if chunk.empty: break  # if chunk is empty, it means the entire data has been read, so break

    for eachCol in chunk:  #converting each column to categorical 
        colUnion = pd.api.types.union_categoricals([allChunk[eachCol], chunk[eachCol]])
        allChunk[eachCol] = pd.Categorical(allChunk[eachCol], categories=colUnion.categories)
        chunk[eachCol] = pd.Categorical(chunk[eachCol], categories=colUnion.categories)

    allChunk = pd.concat([allChunk, chunk])  #Append each chunk to the resulting dataframe

Source: stackoverflow.com

Similar codes

0 vote199 views1 answer
Rest plus
Python
0 vote200 views1 answer
Validationerror django params
Python
0 vote203 views1 answer
Récupérer l'extension d'un fichier en python
Python
3 votes228 views1 answer
Python ftp upload file
Python
89 votes179 views6 answers
Int to string python
Python
5 votes225 views2 answers
Model load pytorch
Python
0 vote218 views1 answer
Tkinter mouse loading cursor
Python
42 votes236 views6 answers
Python round 1 decimal place
Python
3 votes212 views1 answer
How to exit command prompt
Python
0 vote246 views2 answers
Pandas bins dummy
Python