Retrieve multiple indicators at once

[GitHunter0]

Is it possible to retrieve multiple (or all) indicators at once? I believe it is a very important feature but I could not find a way to do that.

Thank you very much in advance, this module is awesome.

[mwouts]

Hello @fmgithub2017 , sorry we don't have this. We could think of implementing it, however I am not sure that all the indicators will have the same dimensions, so it's not clear whether it would make sense to gather all the indicators in a single data frame.

Anyway you can try it yourself! I've just tested this:

import pandas as pd
from tqdm import tqdm
from world_bank_data import get_indicators, get_series, get_topics

# Climate Change = topic 19
get_topics()

climate_change_indicators = get_indicators(topic=19)
climate_change_indicators

# May work on another example?
# Here it fails with the message that SH.H2O.SAFE.RU.ZS may have been deleted or archived.
all_values = pd.DataFrame({serie_id: get_series(serie_id, simplify_index=True)
                           for serie_id in tqdm(climate_change_indicators.index)})

but, as you see in the comment, this fails on a missing indicator.

Maybe you could then define a function for that that would also intercept the errors, etc... Let me know how it goes.

[GitHunter0]

Hey @mwouts , I appreciate very much the reply.

The issue of dimensions you posed might be a real problem indeed. However, many databases have all the variables with the same dimension, which is the case of World Development Indicators and Doing Business, for instance. I guess the ones that do not, you could just leave an error and warning messages.

Here is an example with 'pandas_datareader' module, in which the user can retrieve multiple or all indicators of a database:
from pandas_datareader import wb
Select Doing Business Indicators
dfa = wb.get_indicators().reset_index()
dfa = dfa.loc[dfa.source=='Doing Business',]
indicators_id = dfa.id
print(indicators_id)
Retrieve all indicators of the Doing Business database
df = wb.download(indicator=indicators_id, country='all', start=2016, end=2017).reset_index()
df

However, I would prefer to use your module 'world_bank_data' because it is faster, isn't it?

Thank you