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has2k1 committed Jan 9, 2024
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6 changes: 3 additions & 3 deletions examples/PlotnineAnimation.out.ipynb
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"source": [
"# Spiral Animation \\###"
],
"id": "e12153c0-865c-47ce-8685-3177b2a6c6d5"
"id": "2306b24a-f376-4053-ae59-e862964fe81d"
},
{
"cell_type": "code",
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"with the same limits for each aesthetic, including the `x` and `y`\n",
"aesthetics."
],
"id": "82a22612-a21c-4ee3-b5f0-a85488c7242a"
"id": "50053764-8588-4888-80c9-404110d60c12"
},
{
"cell_type": "code",
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"source": [
"The final image of the spiral"
],
"id": "c5b94394-ec74-462b-b331-0803d317e0e4"
"id": "1b582bfe-3c84-450d-b7bd-24ee4c245376"
},
{
"cell_type": "code",
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6 changes: 3 additions & 3 deletions examples/aes.out.ipynb
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"source": [
"# aes"
],
"id": "9f94b817-bf7d-4691-a4e2-17c5defc5da5"
"id": "92b524dd-fe74-4e4a-849e-0f73f161cfc2"
},
{
"cell_type": "code",
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"\n",
"Mapping variables to the visual properties of a plot."
],
"id": "68ce4dbd-8d4f-435c-9c57-1b2f884e1241"
"id": "a7b9b360-fa36-4f58-8e38-822640b9a6d0"
},
{
"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": "49390c7a-2b87-4c90-944e-ca56a7b0f888"
"id": "0bcc1d5c-8bc6-410b-8f14-c2c4221cfadb"
},
{
"cell_type": "code",
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10 changes: 5 additions & 5 deletions examples/after_scale.out.ipynb
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"source": [
"# after_scale"
],
"id": "440f4000-24b0-4bc0-8ff5-eb9a757a28f8"
"id": "a6a4dab1-f4ed-49db-a2b0-eb2f7e2eeea3"
},
{
"cell_type": "code",
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"\n",
"Start off with a mapping to the `color`."
],
"id": "6237e6d9-121f-42f7-8e51-cbe268c3b832"
"id": "b1386314-a6e1-4911-92af-c779c0fbf77e"
},
{
"cell_type": "code",
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"source": [
"We can match the `color` with the `fill`."
],
"id": "031c5321-9ed8-4980-b2ca-640215ec3f03"
"id": "31e5447b-5125-4845-a9e1-8a7fb299adb7"
},
{
"cell_type": "code",
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"modify the `color` by adding to it an alpha channel i.e. `'#AABBCC'` to\n",
"`'#AABBCC66'`."
],
"id": "e0542f77-881e-400d-a436-f41513cc995d"
"id": "6d36ceb8-4555-4493-aeb5-3686ab5552ea"
},
{
"cell_type": "code",
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"\n",
"With a fitting theme."
],
"id": "b97679a3-9ac9-4078-8737-e3a3cc0ba938"
"id": "d72dfec0-f3ab-425f-996c-0aa371d5cb0a"
},
{
"cell_type": "code",
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12 changes: 6 additions & 6 deletions examples/after_stat.out.ipynb
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"source": [
"# after_stat"
],
"id": "e0b9367f-e10b-4c06-8eab-881ccda90c45"
"id": "49afedfb-5c8c-4435-9c02-06173f0cbabb"
},
{
"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": "e934f8ea-76fa-4402-a8dd-6029504235db"
"id": "a5f02c14-063a-404c-ba9e-b694058293aa"
},
{
"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": "f5b8a26a-484c-47a9-b430-a95eb6a67706"
"id": "ac7923db-d886-4b3a-b540-8fd0c032cada"
},
{
"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": "bf59de84-1032-4ff4-bac8-c5936e04f995"
"id": "a1cab0cd-02b1-482d-864e-070aa045d980"
},
{
"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": "1f401e60-dd20-461b-b201-843aaf8a237d"
"id": "a98e0f6b-6f08-4290-9b5a-cfdaae4e2a94"
},
{
"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": "9d590afb-8940-4821-b140-a4c590771401"
"id": "60fe34b7-6f65-456b-a061-7d30ca29512e"
},
{
"cell_type": "code",
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22 changes: 11 additions & 11 deletions examples/facet_grid.out.ipynb
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"source": [
"# Facet grid"
],
"id": "bfc4c9f0-f835-47a5-85ba-f87dc39bae14"
"id": "65ecdd7b-dec2-4e2c-8427-aded752fe221"
},
{
"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": "3ca3b4c8-3f11-470a-a046-36f4434bea3b"
"id": "c73aabe1-cca3-44b0-aedf-6893cb03f519"
},
{
"cell_type": "code",
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"source": [
"Basic scatter plot:"
],
"id": "61a6754b-cd84-4739-b9ea-5ea08d1f1b84"
"id": "1c2987a2-aa5f-49be-9ad0-4bcae97d6af2"
},
{
"cell_type": "code",
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"source": [
"Facet a discrete variable into rows:"
],
"id": "7d028939-f6c5-40a7-887b-63b5e15060b0"
"id": "c6693f92-cc16-4923-8f7b-a9dcebceb850"
},
{
"cell_type": "code",
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"source": [
"Facet a discrete variable into columns:"
],
"id": "27d441ab-6a5f-421d-8f49-07909b00961e"
"id": "c2ea4c8b-adf2-4bed-bd38-338020e58fbd"
},
{
"cell_type": "code",
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"source": [
"Facet two discrete variables into rows and columns:"
],
"id": "2577b7f9-43c4-4e02-a3f0-29c9a106f6ec"
"id": "c2a68de6-f297-4731-8fe5-7e350e4f56b4"
},
{
"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": "1b4f1096-131b-4f9e-b336-8aad1330061e"
"id": "3068b2c8-c3bf-4f56-9b9b-118ab5c2903f"
},
{
"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": "7f0741dd-9c15-4a65-9ac7-80b816b9ec96"
"id": "371ecac3-774b-42c0-ae38-a3893a18a55e"
},
{
"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": "c4e2d677-b76b-4d76-976e-6efbae6bedce"
"id": "ab6ba9a6-7df8-42d2-98ec-d7574be56c55"
},
{
"cell_type": "code",
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"source": [
"You can add two discrete variables to a facet:"
],
"id": "ebb86507-856e-45e1-abce-78b1cae093df"
"id": "6c155ebe-7b3d-44a9-b85d-74478c95daaf"
},
{
"cell_type": "code",
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"You can also change the colour of the strip by specifying `color` in\n",
"`element_text()` ."
],
"id": "dc645b5f-51f8-419e-a9e5-17599c3483ea"
"id": "650d916a-8dff-4292-9f2c-35fd6520022b"
},
{
"cell_type": "code",
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20 changes: 10 additions & 10 deletions examples/facet_wrap.out.ipynb
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"source": [
"# Facet wrap"
],
"id": "740741de-9c4a-4cf2-b76c-3a5d3c02e7db"
"id": "f414e5da-15d5-43b4-8f58-299cd5e348fe"
},
{
"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": "5a734b9f-aa61-48a2-b0f2-e3a9ee1a9ace"
"id": "9e374ac6-4134-4a03-98b4-f68f46e914ad"
},
{
"cell_type": "code",
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"source": [
"Basic scatter plot:"
],
"id": "98b42f75-c52f-4f33-82e3-ebfd6c3b863a"
"id": "2597678c-2802-419f-b5ff-2b97bea1dd3c"
},
{
"cell_type": "code",
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"source": [
"Facet a discrete variable using `facet_wrap()`:"
],
"id": "0e706a9e-8d22-4472-a5e6-66571f15255a"
"id": "48075c12-c31d-4898-8866-fc3883437460"
},
{
"cell_type": "code",
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"Control the number of rows and columns with the options `nrow` and\n",
"`ncol`:"
],
"id": "bfa8ac35-a8a0-4bea-9d8f-ab9effadbe0b"
"id": "22dacbef-a39e-4afa-a051-7f52edfc50f3"
},
{
"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": "3fba7c31-b7c8-4dbb-8a02-0aed3ffa92c8"
"id": "7532eec1-2c33-4b2e-9522-df5c71d24734"
},
{
"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": "41becb59-f5f2-4788-b3c1-512f38406009"
"id": "789e0deb-a35b-4015-97c1-7d8751e50725"
},
{
"cell_type": "code",
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"\n",
"A fixed scale is the default and does not need to be specified."
],
"id": "7ddb8fbf-3a65-474d-941e-23d82634e7ef"
"id": "75cdb512-b2e3-461e-a64f-6ca6218bb08e"
},
{
"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": "a35f661a-648b-4c1b-b4ec-4a21c67684b5"
"id": "49201081-55d2-49f0-a2d4-45b1f5aa551c"
},
{
"cell_type": "code",
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"source": [
"You can add two discrete variables to a facet:"
],
"id": "f9a6368b-d339-429d-ba63-184f2d3fbda6"
"id": "9120dc05-271c-4733-9882-aedfae4f75aa"
},
{
"cell_type": "code",
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