Refinitiv Data Library for Python

get_data

Sends a request to the Refinitiv Data Platform to retrieve the data described in the estimates.view_summary.historical_snapshots_non_periodic_measures.Definition object.

Module

refinitiv.data.content.estimates.view_summary.historical_snapshots_non_periodic_measures

Syntax

get_data(session, on_response)

Parameters

Value Description Data type Optional Default value
session Session object. If it's not passed the default session will be used. Session object Yes None
on_response Callable function to process the retrieved data. Callable Yes None

Returned value

Response

Usage

The following example demonstrates how to retrieve the estimates monthly historical snapshot value for last 12 months for all interim period estimates measures for BNPP.PA using the basic package:

response = estimates.view_summary.historical_snapshots_non_periodic_measures.Definition(
    universe="BNPP.PA",
    package=estimates.Package.BASIC
).get_data()

print(response.data.df.to_markdown())
Response
Instrument Price Target - Current Price Target - 1 Week Ago Price Target - 1 Month Ago Price Target - 2 Months Ago Price Target - 3 Months Ago Price Target - 4 Months Ago Price Target - 5 Months Ago Price Target - 6 Months Ago Price Target - 7 Months Ago Price Target - 8 Months Ago Price Target - 9 Months Ago Price Target - 10 Months Ago Price Target - 11 Months Ago Price Target - 12 Months Ago Long Term Growth - Current Long Term Growth - 1 Week Ago Long Term Growth - 1 Month Ago Long Term Growth - 2 Months Ago Long Term Growth - 3 Months Ago Long Term Growth - 4 Months Ago Long Term Growth - 5 Months Ago Long Term Growth - 6 Months Ago Long Term Growth - 7 Months Ago Long Term Growth - 8 Months Ago Long Term Growth - 9 Months Ago Long Term Growth - 10 Months Ago Long Term Growth - 11 Months Ago Long Term Growth - 12 Months Ago
0 BNPP.PA 66.1089 66.2095 67.6915 67.7015 67.581 67.581 68.006 69.9581 73.0381 69.5982 65.9016 65.0634 63.6825 62.195 8.822 8.822 8.108 7.67467 6.91225 6.91225 7.384 8.63075 8.65575 12.4953 12.2728 12.2637 11.478 11.3373

None.