rx_get_var_info

Artigo
07/12/2022

Usage

revoscalepy.rx_get_var_info(data, get_value_labels: bool = True,
    vars_to_keep: list = None, vars_to_drop: list = None,
    compute_info: bool = False, all_nodes: bool = False)

Description

Get variable information for a revoscalepy data source or data frame, including variable names, descriptions, and value labels

Arguments

data

a data frame, a character string specifying an “.xdf”, or an RxDataSource object. If a local compute context is being used, this argument may also be a list of data sources, in which case the output will be returned in a named list. See the details section for more information. If a Spark compute context is being used, this argument may also be an RxHiveData, RxOrcData, RxParquetData or RxSparkDataFrame object or a Spark data frame object from pyspark.sql.DataFrame.

get_value_labels

bool value. If True and get_var_info is True or None, factor value labels are included in the output.

vars_to_keep

list of strings of variable names for which information is returned. If None or get_var_info is False, argument is ignored. Cannot be used with vars_to_drop.

vars_to_drop

list of strings of variable names for which information is not returned. If None or get_var_info is False, argument is ignored. Cannot be used with vars_to_keep.

compute_info

bool value. If True, variable information (e.g., high/low values) for non-xdf data sources will be computed by reading through the data set.

all_nodes

bool value. Ignored if the active RxComputeContext compute context is local or RxForeachDoPar. Otherwise, if True, a list containing the information for the data set on each node in the active compute context will be returned. If False, only information on the data set on the master node will be returned. Note that the determination of the master node is not controlled by the end user.

Returns

list with named elements corresponding to the variables in the data set.

Each list element is also a list with following possible elements:

description: character string specifying the variable description
varType: character string specifying the variable type
storage: character string specifying the storage type
low: numeric giving the low values, possibly generated through a
    temporary factor transformation F()

high: numeric giving the high values, possibly generated through a
    temporary factor transformation F()

levels: (factor only) a list of strings containing the factor levels
valueInfoCodes: list of strings of value codes, for informational
    purposes only

valueInfoLabels: list of strings of value labels that is the same
    length as valueInfoCodes, used for informational purposes only

Example

import os
from revoscalepy import RxOptions, RxXdfData, rx_get_var_info

sample_data_path = RxOptions.get_option("sampleDataDir")
claims_ds = RxXdfData(os.path.join(sample_data_path, "claims.xdf"))
info = rx_get_var_info(claims_ds)
print(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)

Compartir por