ibm_boto3 is not exists in Conda repositories

[gilv]

Tried to install ibm_boto3 with conda.

Got:

PackagesNotFoundError: The following packages are not available from current channels:

• ibm_boto3

Current channels:

• https://repo.continuum.io/pkgs/main/linux-64
• https://repo.continuum.io/pkgs/main/noarch
• https://repo.continuum.io/pkgs/free/linux-64
• https://repo.continuum.io/pkgs/free/noarch
• https://repo.continuum.io/pkgs/r/linux-64
• https://repo.continuum.io/pkgs/r/noarch
• https://repo.continuum.io/pkgs/pro/linux-64
• https://repo.continuum.io/pkgs/pro/noarch

[cpcunningham]

Hi @gilv -
We need some more detail to be able to assist you.
Can you detail the steps you are taking and any error details.

[gilv]

conda install -q -y ibm_boto3

[gilv]

it works with: conda install -q -y boto3

[cpcunningham]

Hi @gilv - The boto3 you can instlall is the amazon version.
The ibm version of the sdks are not in the conda archives.
Use pip to instlall
pip install ibm-cos-sdk
You will still be able to see the instlaled packages via conda
conda list

[gilv]

@cpcunningham I am using Conda to install packages with Conda. I understand how to install with pip, but Conda is separate project and it creates environment by itself.
Since conda can perfectly install boto3, it suppose also perfectly install ibm_boto3.
All you need is to update Conda repositories

[cpcunningham]

@gilv on Conda - We will refer this to the Offerings Manager and will let you know the outcome..

[drpalaric]

@gilv if you're using conda, you just need to import it into your conda environment. You can do that using:

source activate your_env 

Then install pip into the conda environment:

conda install pip

Then import the IBM COS SDK into your conda environment:

pip install ibm-cos-sdk

[seamus-mcgrath]

There is no current plan to support the Conda repositories, but could be included in future..

[fe01134]

This would be useful to have so that I can run my Watson Studio Juptyer notebooks locally before I deploy them to the cloud. I would like to still reference the Object storage to get access to the data. This is really important to have a standalone local development environment to make it faster and more efficient to develop Jupyter notebooks before publishing them to Watson Studio. Can you please suggest work arounds?

I setup virtual env and then installed:
pip install awscli
pip install pandas
Code

def __iter__(self): return 0 @hidden_cell !The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. !You might want to remove those credentials before you share your notebook. client_d552ed0e5f3545b59faefcef9ef01a22 = ibm_boto3.client(service_name='s3', ibm_api_key_id='my key', ibm_auth_endpoint="https://iam.bluemix.net/oidc/token", config=Config(signature_version='oauth'), endpoint_url='https://s3-api.us-geo.objectstorage.service.networklayer.com') body = client_d55.get_object(Bucket='apmmaintenance-donotdelete-pr-sussitoyzlhzur',Key='HistoricalQuotes.csv')['Body'] ! add missing __iter__ method, so pandas accepts body as file-like object if not hasattr(body, "__iter__"): body.__iter__ = types.MethodType( __iter__, body ) dateparse = lambda dates: pd.datetime.strptime(dates, '%m/%d/%y') data = pd.read_csv(body, parse_dates=['date'], index_col='date',date_parser=dateparse) data.head()

Error
---> 18 body = client_d55.get_object(Bucket='apmmaintenance-donotdelete-pr-sussitoyzlhzur',Key='HistoricalQuotes.csv')['Body']
19 # add missing iter method, so pandas accepts body as file-like object

[drpalaric]

@fe01134 So, you're installing it wrong that's why. You're not supposed to install awscli since this is not an AWS product. You have to use ibm_boto3 and install that with pip install ibm-cos-sdk.

[Shiven004]

Thanks!!!! pip install ibm-cos-sdk workded for me!!!