Python Tile Typecasting while Reading Data
A quick question in the magic ETL python Tile API method read_dataframe
can you include the dtype parameter and use a datatype dictionary
eg
import pandas as pd
import gc
dtype_dic = {'%Account_Plan_Key':'category'}
# Import the domomagic package into the script
from domomagic import *
pd.options.mode.chained_assignment = None
# read data from inputs into a data frame
raw = read_dataframe('Source 2', dtype=dtype_dic )
i ask because domo sets the data type of string as Object in the example im using 10k rows
if i cast this as a new column to Category it reduces the memory used considerably
but i dont want to create a subset of the columns
00:00:22.848 object 00:00:22.848 556044 00:00:22.848 Change type 00:00:22.848 category 00:00:22.848 12718
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Comments
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Have you tried converting your series directly to a category after you import it?
raw['column'] = raw['column'].astype('category')
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