![]() ![]() ![]() ImageDecoder a new ImageDecoder operator to be used in preprocessing models.New features, bug fixes, and document updatesĪi.onnx opset version increased to 20 with following changes: Updated existing operators: ConstantOfShape #5390 GridSample #5010 ReduceMax #5539 ReduceMin #5539 IsNan #5583 IsInf #5583 DFT #5514 LabelEncoder #5453 Key UpdatesĪdded new operators: ImageDecoder #5294 RegexFullMatch #5401 StringConcat #5350 StringSplit #5371 AffineGrid #5225 Gelu #5277 Whatever the case might be, you now know how to take full control of your Pandas version.ONNX v1.15.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects. That’s likely the case with Pandas 2.0 since there are major changes when compared to the previous releases. Or maybe you just want to install the most recent development version inside a virtual environment. These typically have the library name followed by a version, since you don’t want a recent package update to break something in your production code. ![]() You probably don’t want to install a deprecated version of the library on your system, at least not when working on new products, so what’s the point of this article? Well, maybe you’re planning on deploying your project and need a requirements.txt file. It looks like the correct version was installed, so we can mark our job here as done. Image 4 - Testing Pandas specific version installation (Image by author) Image 3 - Installing Pandas 1.3.4 with Anaconda (Image by author)Īnd now open up the Python shell, import Pandas, and print its version: ![]()
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