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has2k1 committed Feb 16, 2024
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6 changes: 3 additions & 3 deletions reference/examples/PlotnineAnimation.out.ipynb
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"source": [
"# Spiral Animation \\###"
],
"id": "673653c5-79d2-4ba7-a78d-bf24f01ec0c8"
"id": "10a643cc-cd7e-4ea4-b568-49ec1789b7ab"
},
{
"cell_type": "code",
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"with the same limits for each aesthetic, including the `x` and `y`\n",
"aesthetics."
],
"id": "6c8c9d3f-d53d-4eec-907f-c1f23ef788b0"
"id": "094848f0-db9c-454c-b48b-f17a1f91e327"
},
{
"cell_type": "code",
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"source": [
"The final image of the spiral"
],
"id": "3c2a2f89-4667-434a-b757-cbf113338672"
"id": "8a7e4217-b4ce-4bc0-a177-eaadd35b5b34"
},
{
"cell_type": "code",
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6 changes: 3 additions & 3 deletions reference/examples/aes.out.ipynb
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"source": [
"# aes"
],
"id": "4be2ea80-546d-4c4e-b080-73d63400455f"
"id": "a5d79d36-b190-4b72-a9db-e8831ae3ee6e"
},
{
"cell_type": "code",
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"\n",
"Mapping variables to the visual properties of a plot."
],
"id": "2af7adfd-37b2-4999-9db2-c4bd29fb9fa4"
"id": "a8eda7a0-1bd6-431c-830b-a3b41d65d481"
},
{
"cell_type": "code",
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"The first two positional arguments are `x` and `y` aesthetics. Any other\n",
"aesthetic must be mapped with a keyword argument."
],
"id": "35b307f6-530a-455f-a323-3dac812b84a9"
"id": "37b1b90d-3425-4083-9940-ca4f16515d38"
},
{
"cell_type": "code",
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10 changes: 5 additions & 5 deletions reference/examples/after_scale.out.ipynb
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"source": [
"# after_scale"
],
"id": "c6bc50b5-74a0-4c16-913e-d21a2a9af733"
"id": "034a37ca-cc93-4c2c-8dd5-122949c29029"
},
{
"cell_type": "code",
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"\n",
"Start off with a mapping to the `color`."
],
"id": "8afbc22a-db51-40d7-9873-7431af44bd55"
"id": "da335167-35c9-41a4-b17c-c3aa602d7841"
},
{
"cell_type": "code",
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"source": [
"We can match the `color` with the `fill`."
],
"id": "1992b8a6-9bdb-4c29-941c-e30088e48f1e"
"id": "848ce93b-642b-4cf9-8ef9-68f7e83f2416"
},
{
"cell_type": "code",
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"modify the `color` by adding to it an alpha channel i.e. `'#AABBCC'` to\n",
"`'#AABBCC66'`."
],
"id": "78f8e0ad-510b-4492-a314-d58437e07c9e"
"id": "46e06f40-1da6-4b94-ac33-5c2e37d9de50"
},
{
"cell_type": "code",
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"\n",
"With a fitting theme."
],
"id": "41b90ec8-7137-4538-8622-924240aa7a59"
"id": "c4770aa7-d820-42a4-814a-c03c0449b337"
},
{
"cell_type": "code",
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12 changes: 6 additions & 6 deletions reference/examples/after_stat.out.ipynb
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"source": [
"# after_stat"
],
"id": "16c5e2a7-2751-4dad-bdbe-700d7810fd63"
"id": "0380ec3f-1383-4b5b-8562-e0733c09f1b4"
},
{
"cell_type": "code",
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"`geom_bar` uses `stat_count` which by default maps the `y` aesthetic to\n",
"the `count` which is the number of observations at a position."
],
"id": "479a03b0-f988-485c-b60c-0c1ebfef5340"
"id": "4b428bfb-c431-4dbc-93b3-0dc0421fdbe4"
},
{
"cell_type": "code",
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"Using the `after_stat` function, we can instead map to the `prop` which\n",
"is the ratio of points in the panel at a position."
],
"id": "74a3d24f-1b97-46ea-97cc-333f9d04b187"
"id": "5cf16c0d-e2f2-4f81-bf2e-7c12db79ddee"
},
{
"cell_type": "code",
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"With `after_stat` you can used the variables calculated by the stat in\n",
"expressions. For example we use the `count` to calculated the `prop`."
],
"id": "c7c9af3b-3b5a-458b-9d79-2a0f99731eb0"
"id": "6d8e2657-9a54-4759-b3bf-fbf5e6dbd566"
},
{
"cell_type": "code",
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"For example, below `fill='var1'` has no effect, but the `var1` variable\n",
"has not been lost it has been turned into `x` aesthetic."
],
"id": "05b6d20e-1af3-4427-864b-12dc5c060127"
"id": "3ce09828-8725-4dd9-87bf-825fb8b41a9c"
},
{
"cell_type": "code",
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"We use `after_stat` to map `fill` to the `x` aesthetic after it has been\n",
"computed."
],
"id": "48a8ea7a-e76c-4bec-b35c-6419eaa85de9"
"id": "b1cd7732-3b27-458f-9778-ef22e07dd72e"
},
{
"cell_type": "code",
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22 changes: 11 additions & 11 deletions reference/examples/facet_grid.out.ipynb
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"source": [
"# Facet grid"
],
"id": "f86ab42d-16f2-4301-92a0-861e1aafcb71"
"id": "9e8ef53a-a809-4339-a501-51c7cf17af94"
},
{
"cell_type": "code",
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"columns of the grid are set by the faceting variables. It is useful for\n",
"visualising two discrete variables."
],
"id": "cb6b6787-4bfd-45ca-901a-b7420a6e8c3b"
"id": "34235fd7-e02a-4862-940a-77cd7b35a6a1"
},
{
"cell_type": "code",
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"source": [
"Basic scatter plot:"
],
"id": "2b400faa-56e8-4b71-9226-52fb945f46fe"
"id": "728171f7-d589-419c-9438-c8e597b1f1f2"
},
{
"cell_type": "code",
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"source": [
"Facet a discrete variable into rows:"
],
"id": "54773754-04e4-4e15-bdb8-18650ecda428"
"id": "f5d160c5-2572-4f62-abd3-21179ea359d8"
},
{
"cell_type": "code",
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"source": [
"Facet a discrete variable into columns:"
],
"id": "868edd80-b449-4c49-af5b-1d520217d83f"
"id": "e6d5e129-be31-41ec-9d77-1c133bc064e3"
},
{
"cell_type": "code",
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"source": [
"Facet two discrete variables into rows and columns:"
],
"id": "6aaeaaad-c2c4-4174-8b4d-d41916a20d5c"
"id": "b1bffe68-c53d-44f7-9630-3a9db465e73d"
},
{
"cell_type": "code",
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"To change the plot order of the rows or columns in the facet grid,\n",
"reorder the levels of the faceting variable in the data."
],
"id": "fca02d9e-accf-456d-98b8-5f633963772c"
"id": "e39923e3-f51b-4893-b392-8c4262f7acc8"
},
{
"cell_type": "code",
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"You can choose if the scale of x- and y-axes are fixed or variable by\n",
"using the `scales` argument within the `facet_grid()` command:"
],
"id": "be987de8-44dc-4524-beb2-ece1ccc8eeea"
"id": "e356f6fd-fecd-423b-808d-4533066f982a"
},
{
"cell_type": "code",
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"`labeller` argument within the `facet_grid()` command. Below we use\n",
"`labeller = 'label_both'` to include the column name in the facet label."
],
"id": "686cbe50-215f-441a-98d3-a8b9cf06eac8"
"id": "31be6532-d941-45a2-9125-da9684ba9994"
},
{
"cell_type": "code",
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"source": [
"You can add two discrete variables to a facet:"
],
"id": "ed5ad23c-2ad4-47df-a06a-c13ac7b06eb2"
"id": "12fc76cc-490f-413c-a4a4-04fd66539f33"
},
{
"cell_type": "code",
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"You can also change the colour of the strip by specifying `color` in\n",
"`element_text()` ."
],
"id": "6eb7917f-1c94-44e9-b8df-97bd657b6306"
"id": "158678c2-da30-4a25-8e49-53ba605fe45f"
},
{
"cell_type": "code",
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20 changes: 10 additions & 10 deletions reference/examples/facet_wrap.out.ipynb
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"source": [
"# Facet wrap"
],
"id": "afe360a9-df32-4781-a20b-2d84ebf0d942"
"id": "f3a52657-a91a-4eb8-ac45-13755beb9159"
},
{
"cell_type": "code",
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"is differentiated by the faceting variable. These plots are wrapped into\n",
"a certain number of columns or rows as specified by the user."
],
"id": "21a6a20f-83dc-422d-bd1c-53809d774a8d"
"id": "b95bed94-4c39-40f7-b449-563699441de4"
},
{
"cell_type": "code",
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"source": [
"Basic scatter plot:"
],
"id": "cbf98cee-b5b5-4295-8480-993d64f42a0e"
"id": "2d568d06-0703-4fda-8136-094a7d31e130"
},
{
"cell_type": "code",
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"source": [
"Facet a discrete variable using `facet_wrap()`:"
],
"id": "2279c3be-15f3-4b37-b722-69b33206aaee"
"id": "a4e86f98-0c58-41eb-aade-f9cd5fdd589f"
},
{
"cell_type": "code",
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"Control the number of rows and columns with the options `nrow` and\n",
"`ncol`:"
],
"id": "71993046-349f-475c-88a2-a09552e70f9d"
"id": "1667d385-25a8-4e51-bec4-05b24f04f255"
},
{
"cell_type": "code",
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"To change the plot order of the facets, reorder the levels of the\n",
"faceting variable in the data."
],
"id": "7ff9e5cc-968e-48c0-952b-0a848e5c8fbe"
"id": "881ea4af-ee6b-458d-9304-b6330ed4e883"
},
{
"cell_type": "code",
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"to bottom). However if you would prefer a vertical layout (facets are\n",
"arranged top-to-bottom, from left to right) use the `dir` option:"
],
"id": "1f023b29-259f-4830-adae-55d46edd2afb"
"id": "62e75d16-5459-422a-a9d7-753d9d67e3d2"
},
{
"cell_type": "code",
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"\n",
"A fixed scale is the default and does not need to be specified."
],
"id": "d7b42b81-379f-4580-8eb5-2f474dbcbd4e"
"id": "c85d8736-6b83-4ffa-bd36-efe62236acac"
},
{
"cell_type": "code",
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"`labeller` argument within the `facet_wrap()` command. Below we use\n",
"`labeller = 'label_both'` to include the column name in the facet label."
],
"id": "348a996f-e2e0-4693-892e-93f31d4f1654"
"id": "0a125a4a-308f-4d41-9861-1d66e6c13029"
},
{
"cell_type": "code",
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"source": [
"You can add two discrete variables to a facet:"
],
"id": "f40dd3f2-7be5-4609-8e4f-0eace60529d0"
"id": "8e0e6069-aff5-44f1-8b6f-1282a6f260db"
},
{
"cell_type": "code",
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