TensorFlow compatibility Currently,tfplotis compatible with TensorFlow 1.x series. Support for eager execution and TF 2.0 will be coming soon! MIT License© Jongwook Choi Releases3 v0.3.2Latest Jul 24, 2019 + 2 releases
解决方法, 调用matplotlib后,加入matplotlib.use('agg'),使用其作为该backend, 即可 1 2 3 importmatplotlib matplotlib.use('agg')##加入该行 importmatplotlib.pyplot as plt
Anacondamakes it easy to install TensorFlow, enabling your data science, machine learning, and artificial intelligence workflows. ... TensorFlow with conda is supported on 64-bit Windows 7 or later, 64-bit Ubuntu Linux 14.04 or later, 64-bit CentOS Linux 6 or later, and macOS 10.10 or later...
We can also create a figure with shared axis labels on the shared axes to the subplots in matplotlib.# Preparing the data to subplots x = np.linspace(0, 10, 10) y1 = x + 3 y2 = x + 9 y3 = x + 13 y4 = x + 17 # Defining figure and axes objects using matplotlib.pyplot.su...
Make sure that the version of matplotlib you are installing is compatible with your Python version installed. If the python installed is 64 bits version with matplotlib is 32 bits. Make sure they are the same. Make sure to add the PATH variable for system and environment variables with the ...
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