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please tell me how to fix the error: "MemoryError: Unable to allocate 65.3 GiB for an array with shape (8763449844,) and data type int64"

I have 2 small tables:

Data columns (total 6 columns):
 #   Column                Dtype 
---  ------                ----- 
 0   ART_GRP_LVL_2_ID      int32 
 1   cluster               object
 2   cluster new           int32 
 3   traffic               int32 
 4   WHS_ID                int32 
 5   opsum                 int32 
dtypes: int32(5), object(1)
memory usage: 224.7+ MB

Data columns (total 4 columns):
 #   Column              Non-Null Count   Dtype 
---  ------              --------------   ----- 
 0   ART_GRP_LVL_2_ID    752375 non-null  int32 
 1   ART_GRP_LVL_0_NAME  752375 non-null  object
 2   ART_GRP_LVL_1_NAME  752375 non-null  object
 3   ART_GRP_LVL_2_NAME  752375 non-null  object
dtypes: int32(1), object(3)
memory usage: 20.1+ MB

pd.merge(for_bottom_up, v_art_ext, on = 'ART_GRP_LVL_2_ID', how = 'left')

Why is there such an error, why is so much memory needed when merge? Thanks

changed all data types from int64 to int32, but the error is still int64

本文标签： pythonMemoryError Unable to allocateStack Overflow

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