Python Tile Typecasting while Reading Data
Options
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
Tagged:
0
Comments
-
Have you tried converting your series directly to a category after you import it?
raw['column'] = raw['column'].astype('category')
**Was this post helpful? Click Agree or Like below**
**Did this solve your problem? Accept it as a solution!**1
Categories
- All Categories
- 1.4K Product Ideas
- 1.4K Ideas Exchange
- 1.4K Connect
- 1.1K Connectors
- 278 Workbench
- 4 Cloud Amplifier
- 4 Federated
- 2.7K Transform
- 89 SQL DataFlows
- 557 Datasets
- 2K Magic ETL
- 3.3K Visualize
- 2.3K Charting
- 571 Beast Mode
- 11 App Studio
- 28 Variables
- 579 Automate
- 141 Apps
- 414 APIs & Domo Developer
- 23 Workflows
- 1 DomoAI
- 28 Predict
- 12 Jupyter Workspaces
- 16 R & Python Tiles
- 352 Distribute
- 92 Domo Everywhere
- 258 Scheduled Reports
- 2 Software Integrations
- 92 Manage
- 89 Governance & Security
- 9 Product Release Questions
- Community Forums
- 42 Getting Started
- 28 Community Member Introductions
- 88 Community Announcements
- 4.8K Archive