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cool 😎 example
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‎README.md

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@@ -9,6 +9,16 @@ to be a feature-for-feature port of [`ggplot2 for R`](https://github.com/hadley/
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There is much greatness in `ggplot2`, the Python world could stand to benefit
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from it.
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You can do cool things like this:
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```python
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ggplot(diamonds, aes(x='price', color='clarity')) + \
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geom_density() + \
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scale_color_brewer(type='div', palette=7) + \
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facet_wrap('cut')
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```
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![](./docs/example.png)
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### What happened to the old version that didn't work?
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It's gone--the windows, the doors, [everything](https://www.youtube.com/watch?v=YuxCKv_0GZc). I deleted most of the code and
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only kept what worked. The data grouping and manipulation bits were re-written
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They're gone. They didn't even come close to working (also what does
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`stat_identity` even do) so they're gone.
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### Installation
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```bash
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$ pip install https://github.com/yhat/ggplot/archive/overhaul.zip
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$ pip install -U ggplot
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# or
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$ conda install ggplot
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# or
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pip install pip install git+https://github.com/yhat/ggplot.git
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```
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### Examples
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![](./examples/example-01ab6e56-bc32-455e-9842-45262fd341ad.png)
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![](./examples/example-02687ac6-7e68-4b28-9811-4ef487b20ba4.png)
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![](./examples/example-0514c0ae-944a-40e6-80cb-c037bc6a619d.png)
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![](./examples/example-0c9b8b58-fae4-447d-a78b-7913194cb1c8.png)
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![](./examples/example-0e43ff98-aefd-44e4-9e30-02c9ccf13e90.png)
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![](./examples/example-17bc1730-b20e-4d0c-a0ca-e40b517e82a3.png)
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![](./examples/example-1c3fbee1-1745-4570-9a00-56efba3085c4.png)
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![](./examples/example-1fbb7ef1-d295-464c-9234-38b54bb61e3d.png)
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![](./examples/example-20ab89e2-7ab6-417d-bba7-148fb92a8e30.png)
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![](./examples/example-20c9a55c-a526-4e85-af6b-8df86f466048.png)
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![](./examples/example-21469f96-98ce-4ca1-b1df-2306308f8e4b.png)
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![](./examples/example-21dedf76-0d4e-4074-b169-be7303e71dc1.png)
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![](./examples/example-2217f545-17d4-44b6-8a2f-1361ea310c10.png)
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![](./examples/example-2305e12b-23aa-4f41-bcd3-17d8a971eec8.png)
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![](./examples/example-2d2ad075-79fe-4fff-bda0-b520b5804e8d.png)
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![](./examples/example-311c7460-034d-48fc-ae71-d041c97663ef.png)
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![](./examples/example-3325f55f-fb4b-4a29-a105-8fa5cc3e6140.png)
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![](./examples/example-33cc1744-b9a7-4e2f-839a-73cc17dd11c3.png)
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![](./examples/example-34691ced-fae4-44a5-9f4e-cc33232143b3.png)
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![](./examples/example-34d773b9-ec68-40b1-999b-7bb07c208be9.png)
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![](./examples/example-3708e145-8f1b-485e-8c30-3241861c9177.png)
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![](./examples/example-44a1d142-63dc-4e73-9116-0b3c44ff9f33.png)
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![](./examples/example-48d8985c-a028-49c4-8c4b-b7d0dd335293.png)
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![](./examples/example-4a07a92f-f60c-4200-ba95-3e74dade461b.png)
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![](./examples/example-4b291adb-5c6b-4a59-b494-43123aa39d3e.png)
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![](./examples/example-4d23081c-e280-4664-b53d-a0f2e99f8479.png)
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![](./examples/example-4e6211d3-7d99-49ef-9c1a-d00887add29b.png)
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![](./examples/example-52ec20bb-446b-481e-a863-c65e40901446.png)
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![](./examples/example-55b23c7f-b847-446d-80ff-0d613781190e.png)
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![](./examples/example-5873a00c-ff47-4ab1-abe3-df8cc498c773.png)
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![](./examples/example-58c02486-17c6-48f2-b435-acf8da63d12d.png)
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![](./examples/example-5a7cbe1b-49ac-48a0-b3bc-15c2ad9183c5.png)
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![](./examples/example-5b540976-f321-43fa-bcc4-4d147031bc1a.png)
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![](./examples/example-5dddf73e-92e0-409d-9a95-f863b2c33d82.png)
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![](./examples/example-5f144c4e-33f3-44b5-b418-eaff8ada2054.png)
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![](./examples/example-648372f0-df2e-49e4-a5ef-cb0e1b0a1933.png)
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![](./examples/example-6fc05099-0330-4151-bc2c-0f18a28f7730.png)
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![](./examples/example-718416d1-895b-4883-8a30-ded4525e1719.png)
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![](./examples/example-a1e27e56-60f3-4d1e-9024-6b11e177a33c.png)
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![](./examples/example-a2af229a-ee7d-49a0-b163-a1e129570096.png)
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![](./examples/example-a3c87a12-0d9b-4747-8c2c-0ff6fe3e3cc5.png)
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![](./examples/example-a42c09e5-9977-4dbf-a9f6-32a1ced8b1d5.png)
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![](./examples/example-a5d47561-773c-49f8-b76a-91beaf1ecbb2.png)
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![](./examples/example-a7cf1dd8-104e-419c-90c7-ec0e5a5d10d7.png)
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![](./examples/example-a864af7f-458c-4017-b8c2-298d43afce77.png)
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![](./examples/example-aa977288-9cca-45d1-b743-c6e49b814cd7.png)
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![](./examples/example-ac1e1301-535f-4e59-91fa-d4c20d4fd23d.png)
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![](./examples/example-ad142339-1827-465e-86b0-478bcb5edbd4.png)
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![](./examples/example-b03399cc-ce45-44a9-b701-23f91c57a6cf.png)
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![](./examples/example-b2ed9041-ba23-470c-b10a-a461e6c0fa79.png)
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![](./examples/example-b4119243-8530-4429-9e93-ced574b2ce05.png)
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![](./examples/example-c1ea42e5-435b-4e5e-9f2c-95bbe85e25d5.png)
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![](./examples/example-c600700b-d3b1-4fea-82cc-cd9d3582c93b.png)
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![](./examples/example-c7c0a380-f50b-413a-beeb-b006e5740363.png)
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![](./examples/example-c9358e27-5145-447d-b31d-5ce6126cb1c1.png)
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![](./examples/example-c9c55564-02d9-4e5d-ba24-0ff411944aec.png)
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![](./examples/example-cd2bd612-e802-4910-924a-b7d77d3b9735.png)
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![](./examples/example-d44c50b7-4cd5-4cd1-b901-e28dd4e25686.png)
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![](./examples/example-d951516d-6083-4b4f-b882-913f7024e9c5.png)
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![](./examples/example-dd48ccf1-f982-4fa5-9f92-065dcc44372e.png)
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![](./examples/example-dddae5d3-9714-4dd5-9c01-e674eafe18de.png)
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![](./examples/example-e38514e1-2aaa-4893-ba56-62b767649a74.png)
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![](./examples/example-ee62897e-f7c4-49c4-825e-9d8176fa32ed.png)
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![](./examples/example-f8aa92cf-1910-4c40-b11f-bb8079d4ccd8.png)
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![](./examples/example-fe1a8632-640a-470d-9a9a-1bdc3477fca3.png)
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- [gallery](./docs/Gallery.ipynb)
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- [various examples](./examples.md)

‎docs/Gallery.ipynb

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‎examples.md

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### Examples
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![](./examples/example-01ab6e56-bc32-455e-9842-45262fd341ad.png)
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![](./examples/example-02687ac6-7e68-4b28-9811-4ef487b20ba4.png)
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![](./examples/example-0514c0ae-944a-40e6-80cb-c037bc6a619d.png)
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![](./examples/example-0c9b8b58-fae4-447d-a78b-7913194cb1c8.png)
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![](./examples/example-0e43ff98-aefd-44e4-9e30-02c9ccf13e90.png)
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![](./examples/example-17bc1730-b20e-4d0c-a0ca-e40b517e82a3.png)
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![](./examples/example-1c3fbee1-1745-4570-9a00-56efba3085c4.png)
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![](./examples/example-1fbb7ef1-d295-464c-9234-38b54bb61e3d.png)
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![](./examples/example-20ab89e2-7ab6-417d-bba7-148fb92a8e30.png)
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![](./examples/example-20c9a55c-a526-4e85-af6b-8df86f466048.png)
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![](./examples/example-21469f96-98ce-4ca1-b1df-2306308f8e4b.png)
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![](./examples/example-21dedf76-0d4e-4074-b169-be7303e71dc1.png)
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‎ggplot/ggplot.py

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except:
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pass
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elif col_variable and row_variable:
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for (_, (colname, subgroup)) in enumerate(group.groupby(col_variable)):

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