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Add treemaps - #854
Add treemaps#854cvanelteren wants to merge 8 commits into
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I'm afraid I won't have any extra time over the next three days. If you're in a hurry, feel free to merge. If anything comes up later, we can open an issue. |
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@gepcel there is no rush; I can leave this open. |
| def treemap( | ||
| self, | ||
| sizes: "TreemapInput", | ||
| labels: Sequence[Any] | str | None = None, |
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Is there an example that labels is a str?
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it was intended to be the column, or entry selected from data like this
data = {"amount": [2, 3, 4], "name": ["A", "B", "C"]}
ax.treemap("amount", labels="name", data=data
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but I agree that it may be a bit confusing. It is currently also overloaded and used differently across plot and raincloud.
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Need to think about this, we may need to align the other in raincloud too such that it is more consistent, what do you think?
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I'm fine with what it is now, better if there's a explanation, or examp;le. And yes, it'll be better if data, styles are handled in a consistent way.
gepcel
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gepcel
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I left some comments. Mostly about colors. I tried some codes snippets for example:
# %%
fig,ax=pplt.subplot()
ax.treemap({"a":2,"b":3}, colors=['r', 'g'])
# %%
fig,ax=pplt.subplot()
ax.treemap({"GroupA":{"a":2,"b":3},"GroupB":{"c":4,"d":5}}, colors = ["#3c8d87", "#5286b0", "#69a4b7", "#af8a55"])
# %%
fig,ax=pplt.subplot()
ax.treemap({"GroupA":{"a":2,"b":3},"GroupB":{"c":4,"d":5}}, colors = ["#3c8d87", "#5286b0"])
Closes #458 by adding
ax.treemap()for flat and nested dictionaries, pandas Series, and DataFrame columns viadata=df. No additional dependencies are required.Tile areas represent values. Nested dictionaries create labeled groups with related colors. Explicit colors, colormaps, colorbars, value labels, and artist styling are supported.