/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 vote210 views1 answer
How to add to beginning of linked list python
Python
0 vote187 views1 answer
Python - Comment convertir la corde à la date
Python
0 vote207 views1 answer
Python format string with list
Python
0 vote196 views1 answer
1 12 123 python
Python
10 votes196 views2 answers
Django import settings
Python
9 votes185 views2 answers
Python readlines without n
Python
0 vote198 views1 answer
Python enumerate()
Python
0 vote210 views1 answer
Super().__init__(pos, model) in python
Python
2 votes190 views2 answers
Print list of list line by line python
Python
3 votes230 views2 answers
What is indentation in python
Python