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rx_set_var_info

  • 아티클

Usage

revoscalepy.rx_set_var_info(var_info, data)

Description

Set the variable information for an .xdf file, including variable names, descriptions, and value labels, or set attributes for variables in a data frame

Arguments

var_info

list containing lists of variable information for variables in the XDF data source or data frame.

data

an RxDataSource object, a character string specifying the .xdf file, or a data frame.

Returns

If the input data is a data frame, a data frame is returned containing variables with the new attributes. If the input data represents an .xdf file or composite file, an RxXdfData object representing the modified file is returned.

See also

rx_get_info, rx_get_var_info.

Example

import os
import tempfile
from shutil import copy2
from revoscalepy import RxOptions, RxXdfData, rx_import, rx_get_var_info, rx_set_var_info

sample_data_path = RxOptions.get_option("sampleDataDir")
src_claims_file = os.path.join(sample_data_path, "claims.xdf")
dest_claims_file = os.path.join(tempfile.gettempdir(), "claims_new.xdf")
copy2(src_claims_file, dest_claims_file)
var_info = rx_get_var_info(src_claims_file)
print(var_info)

claims_labels = ['Type1', 'Type2', 'Type3', 'Type4']
var_info['type']['levels'] = claims_labels
var_info['cost']['low'] = 10
var_info['cost']['high'] = 1000
rx_set_var_info(var_info, dest_claims_file)

new_var_info = rx_get_var_info(dest_claims_file)
print(new_var_info)

Output:

Var 1: RowNum, Type: integer, Storage: int32, Low/High: (1.0000, 128.0000)
Var 2: age
	8 factor levels: ['17-20', '21-24', '25-29', '30-34', '35-39', '40-49', '50-59', '60+']
Var 3: car.age
	4 factor levels: ['0-3', '4-7', '8-9', '10+']
Var 4: type
	4 factor levels: ['A', 'B', 'C', 'D']
Var 5: cost, Type: numeric, Storage: float32, Low/High: (11.0000, 850.0000)
Var 6: number, Type: numeric, Storage: float32, Low/High: (0.0000, 434.0000)

Var 1: RowNum, Type: integer, Storage: int32, Low/High: (1.0000, 128.0000)
Var 2: age
	8 factor levels: ['17-20', '21-24', '25-29', '30-34', '35-39', '40-49', '50-59', '60+']
Var 3: car.age
	4 factor levels: ['0-3', '4-7', '8-9', '10+']
Var 4: type
	4 factor levels: ['Type1', 'Type2', 'Type3', 'Type4']
Var 5: cost, Type: numeric, Storage: float32, Low/High: (10.0000, 1000.0000)
Var 6: number, Type: numeric, Storage: float32, Low/High: (0.0000, 434.0000)