Category: Help
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Getting Data from TM1 with Python
TM1py makes all the goodness of the Python ecosystem available to your IBM TM1 and Planning analytics cubes data. Python is very popular for Data Science and for a lot of other stuff. To use a Python library with your cubes data, you will need to get your data out of your cubes, do the…
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Installing TM1py
This article explains the steps to install TM1py. Installing TM1py will take you just few minutes.
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Choosing which language to display
Starting with Arc v1.4.1, Arc supports now English, Spanish, German and French. Arc will display the language defined in your web browser settings.
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Upgrading Arc for TM1
Upgrading Arc for TM1 is very simple as Arc does not require any installation, you will just need to replace your current Arc file with the new one.
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Allowing login to multiple instances
When using multiple IBM Planning Analytics instances with the same credentials in your Canvas application, you will now be able to authenticate to all your instances by entering the credentials only once.
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Sending TM1 REST API calls directly into TM1
A new API has been added that will allow a consultant or developer to send REST API calls directly into TM1 while leveraging on Canvas session handling. These REST API calls can be called through /api/rest
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Using the Trace Calculation
Being able to trace calculation from any cell is a very popular IBM TM1 and Planning Analytics feature. This is now available in Canvas v3.2.0.
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Setting up Open ID with Canvas
Canvas v3.2.0 can now connect to IBM Planning Analytics instances configured with Open ID authentication.
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CubeCalc functions
To calculate all these functions, CubeCalc leverages the Python libraries Numpy, functools and scipy. This article lists all functions available in CubeCalc:
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Getting Started with CubeCalc
This article will explain you how to set up CubeCalc, a super calculator for IBM TM1 and Planning Analytics