/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 vote137 views1 answer
Can list hold different data types in python
Python
1 vote132 views1 answer
Program to split the list between even and odd python
Python
6 votes115 views4 answers
Normalize column pandas
Python
4 votes139 views2 answers
Count characters in string python
Python
15 votes141 views2 answers
Find faculty of a number python
Python
0 vote100 views1 answer
Python empty constructor
Python
1 vote153 views3 answers
Pascal triangle python
Python
7 votes180 views5 answers
Django messages
Python Django
2 votes165 views2 answers
Pygame add framerate cap
Python
0 vote153 views1 answer
Python ordereddict reverse
Python