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-`load_seaborngrid` can accepts a `seaborn.clustermap` plot. For details, see example code on [Google colab](https://colab.research.google.com/drive/1wQQyBHLNXJ5Ks6ev88IjXhGfT98SGJuM?usp=sharing)
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-Some bugs were fixed.
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-A few bugs were fixed.
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#### 03272022: Version 0.4.0 is released.
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- Add docstring for each method and class
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- Add some new methods of `patchworklib.Bricks` class to set common label, title, spine and colorbar for `Brick` objets in the `Bricks` object.
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- Add docstring for each method and class.
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- Add several new methods of `patchworklib.Bricks` class to set common label, title, spine and colorbar for `Brick` objets in the `Bricks` object.
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For usage, please refer to the docstring or the example codes on [Google colab](https://colab.research.google.com/drive/1f06AQOqNnSYPjc9EkweC3_Hmy4abr-go?usp=sharing).
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#### 02042022: Version 0.3.6 is released.
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-Sum bugs relating with the function to arrange multiple polar plot objects.
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-A few bugs relating with the function to arrange multiple polar plot objects.
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#### 02042022: Version 0.3.5 is released.
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-Some bugs in `move_legend` were fixed. (The `move_legend` for seaborn grided plot was not working properly.)
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-A few bugs in `move_legend` were fixed. (The `move_legend` for seaborn grided plot was not working properly.)
Brick class provides the `movelegend(`*`loc=str, bbox_to_anchor=(float,float)`*`)` method. By using this method, legend location can be quickly modified.
The object generated by arranging multiple Brick object (Bricks class object) can also be arranged and stacked with other Brick objects. Additionally, It is possible to create more complex layouts by nesting the operations.
The above packing process allows the axes of the objects to be accurately aligned with each other. Actually, in "ax35214" and "ax35214_v2", the bottom axis lines of ax3 and ax5 are not precisely aligned, while in "ax35214_v3", their bottom axis lines are exactly aligned. However, please note that this packing method using label indexing changes aspect ratios of the Brick objects to be packed from the original one to align their axis lines with others.
By using the method, [Jointplot](https://seaborn.pydata.org/generated/seaborn.jointplot.html) style layout can be easily designed. Please see [tutorial1](https://colab.research.google.com/drive/1TVcH3IJy6geDXVJDfOKCPFPsP2GzjxHu?usp=sharing) and [tutorial2](https://colab.research.google.com/drive/142gBg6Q8hRWTw95yqM5G_P4E2T5pDLrX?usp=sharing).
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