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Last active May 11, 2020 19:06
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Notebook for figuring out consistent transformations from a variety of "wide" data to a long-form plot dataframe
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Notes on transforming wide data to tidy plot data\n",
"\n",
"The objective here is to refactor seaborn's handling of \"wide-form\" data (maybe you'd call it \"untidy\" data), with the goal of doing something useful for a large variety of ways that data vectors can be collected.\n",
"\n",
"Wide-frame data is processed differently by each class of seaborn plots (e.g. relational, categorical etc.). The goal here is to define a common pipeline of transformations from carious inputs into a common (rectangular) wide-form representation. Then the rectangular data gets melted into tidy plot data. The parameters of the melt should be the only aspect of the pipeline that differ across plot classes.\n",
"\n",
"Data should be able to be specified as essentially arbitrary collections of data vectors and, where feasible, name/index attributes should be extracted to help define the mapping to the plot semantics.\n",
"\n",
"Another goal is also to be as general as possible about input types, only using `isinstance` calls on builtin Python objects and otherwise hoping to duck-type objects that can be politely coerced to either pandas Series or DataFrame.\n",
"\n",
"Additionally, we want to maintain existing behavior, except in the case where it can be improved (especially how \"flat\" data are handled by categorical plots, which I don't think is correct)."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"from collections.abc import Iterable\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Core data objects\n",
"\n",
"We will operate on rectangular data or collections of vectors."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"df = pd.DataFrame(np.arange(12).reshape(3, 4), columns=list(\"abcd\"), index=[0, 2, 4])\n",
"s = pd.Series([0, 10, 20], index=[1, 3, 5], name=\"s\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
" a b c d\n",
"0 0 1 2 3\n",
"2 4 5 6 7\n",
"4 8 9 10 11"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1 0\n",
"3 10\n",
"5 20\n",
"Name: s, dtype: int64"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"s"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The following dictionary defines a number of ways that these data can be organized. We want to be able to handle each of them."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"data_objects = {\n",
" \"wide_df\": df,\n",
" \"wide_array\": df.values,\n",
" \"dict_of_series\": {\"a\": df[\"a\"], \"s\": s},\n",
" \"dict_of_array\": {\"a\": df[\"a\"].values, \"s\": s.values},\n",
" \"dict_of_list\": {\"a\": df[\"a\"].tolist(), \"s\": s.tolist()},\n",
" \"dict_of_dict\": {\"a\": df[\"a\"].to_dict(), \"s\": s.to_dict()},\n",
" \"list_of_series\": [df[\"a\"], s],\n",
" \"list_of_array\": [df[\"a\"].values, s.values],\n",
" \"list_of_list\": [df[\"a\"].tolist(), s.tolist()], \n",
" \"list_of_dict\": [df[\"a\"].to_dict(), s.to_dict()],\n",
" \"flat_series\": s,\n",
" \"flat_array\": s.values,\n",
" \"flat_list\": s.tolist(),\n",
" \"flat_dict\": s.to_dict(),\n",
"}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## The transformation pipeline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The plot-type specificity will be accomplished by parameterizing the melt operation once we have a standardized wide-form representation."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"variable_maps = {\n",
" \"cat\": {\"value\": \"y\", \"var\": \"x\"},\n",
" \"rel\": {\"index\": \"x\", \"value\": \"y\", \"var\": \"hue\"},\n",
" \"dis\": {\"value\": \"x\", \"var\": \"hue\"},\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"def wide_to_long(data, module):\n",
" \"\"\"Common pipeline for transforming wide data inputs into tidy plot data.\"\"\"\n",
"\n",
" # First, determine if we have \"flat\" data (a single vector)\n",
" # We need to handle this differently\n",
" values = data.values() if isinstance(data, dict) else np.atleast_1d(data)\n",
" flat = not any(isinstance(val, Iterable) for val in values)\n",
"\n",
" if flat:\n",
"\n",
" # Coerce the data into a pandas Series such that the values\n",
" # become the y variable and the index becomes the x variable\n",
" # No other semantics are defined.\n",
" # (This could be accomplished with a more general to_series() interface)\n",
" data = pd.Series(data, name=\"y\")\n",
" data.index.name = \"x\"\n",
" plot_data = data.reset_index()\n",
"\n",
" else:\n",
"\n",
" # Otherwise assume we have some collection of vectors.\n",
" # For list and dict inputs, ensure that the entries are Series objects\n",
" # so they go in the columns of the wide DataFrame, not in the rows.\n",
" if isinstance(data, list):\n",
" data_tmp = {}\n",
" for i, var in enumerate(data):\n",
"\n",
" key = getattr(var, \"name\", i)\n",
" data_tmp[key] = pd.Series(var)\n",
"\n",
" data = data_tmp\n",
"\n",
" elif isinstance(data, dict):\n",
" data = {k: pd.Series(v) for k, v in data.items()}\n",
"\n",
" # Now coerce our collection into a wide-form dataframe\n",
" # This is where we'd like to use a general interface that says\n",
" # \"give me this DataFrame as a pandas object\"\n",
" try:\n",
" plot_data = data.to_pandas().copy()\n",
" except AttributeError:\n",
" plot_data = pd.DataFrame(data, copy=True)\n",
" \n",
" # Work out the mapping from melt parameters to plot semantics\n",
" variable_map = variable_maps[module]\n",
"\n",
" # Allow the wide-form index to play a semantic role\n",
" index_name = variable_map.get(\"index\", None)\n",
" if index_name is not None:\n",
" plot_data[index_name] = plot_data.index.to_series()\n",
"\n",
" # This is where we could augment the id_vars with other semantics\n",
" # e.g. so you can have wide data with a specified hue column\n",
"\n",
" # Melt the wide data into tidy, long-form plot data\n",
" plot_data = pd.melt(\n",
" plot_data,\n",
" id_vars=index_name,\n",
" var_name=variable_map[\"var\"],\n",
" value_name=variable_map[\"value\"],\n",
" )\n",
" \n",
" return plot_data"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"plot_func = {\"rel\": sns.lineplot, \"cat\": sns.boxplot}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"----\n",
"\n",
"## Current behavior\n",
"\n",
"Here is what happens when each of these objects are passed to the ``data`` parameter of a seaborn plot with no other semantics defined. The grayed axes are those where an Exception is raised."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"def show_current_behavior(module):\n",
" fig, axes = plt.subplots(2, len(data_objects) // 2, figsize=(2 * len(data_objects) // 2, 2 * 2), constrained_layout=True)\n",
" func = plot_func[module]\n",
" for ax, (kind, obj) in zip(axes.T.flat, data_objects.items()):\n",
" ax.set_title(kind)\n",
" try:\n",
" func(data=obj, ax=ax)\n",
" except:\n",
" ax.set_facecolor(\".95\")"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 1008x288 with 14 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1008x288 with 14 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"show_current_behavior(\"rel\")\n",
"show_current_behavior(\"cat\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## New behavior\n",
"\n",
"These plots show how wide-form data will be handled with the new transformation pipeline. Ignore the axes/legend titles; those are handled separately."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"def show_wide_to_long(module):\n",
" fig, axes = plt.subplots(2, len(data_objects) // 2, figsize=(2 * len(data_objects) // 2, 2 * 2), constrained_layout=True)\n",
" func = plot_func[module]\n",
" for ax, (kind, obj) in zip(axes.T.flat, data_objects.items()):\n",
" ax.set_title(kind)\n",
" try:\n",
" plot_data = wide_to_long(obj, module)\n",
" func(x=\"x\", y=\"y\", hue=\"hue\" if \"hue\" in plot_data else None, data=plot_data, ax=ax)\n",
" except:\n",
" ax.set_facecolor(\".95\")"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1008x288 with 14 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1008x288 with 14 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"show_wide_to_long(\"rel\")\n",
"show_wide_to_long(\"cat\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
"\n",
"## Tidy `plot_data`\n",
"\n",
"Here are what the internal `plot_data` objects will look like in each case."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"def print_wide_to_long(module):\n",
" for kind, obj in data_objects.items():\n",
" print(kind)\n",
" try:\n",
" print(wide_to_long(obj, module))\n",
" except Exception as err:\n",
" print(f\" failed ({err.__class__.__name__})\")"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"wide_df\n",
" x hue y\n",
"0 0 a 0\n",
"1 2 a 4\n",
"2 4 a 8\n",
"3 0 b 1\n",
"4 2 b 5\n",
"5 4 b 9\n",
"6 0 c 2\n",
"7 2 c 6\n",
"8 4 c 10\n",
"9 0 d 3\n",
"10 2 d 7\n",
"11 4 d 11\n",
"wide_array\n",
" x hue y\n",
"0 0 0 0\n",
"1 1 0 4\n",
"2 2 0 8\n",
"3 0 1 1\n",
"4 1 1 5\n",
"5 2 1 9\n",
"6 0 2 2\n",
"7 1 2 6\n",
"8 2 2 10\n",
"9 0 3 3\n",
"10 1 3 7\n",
"11 2 3 11\n",
"dict_of_series\n",
" x hue y\n",
"0 0 a 0.0\n",
"1 1 a NaN\n",
"2 2 a 4.0\n",
"3 3 a NaN\n",
"4 4 a 8.0\n",
"5 5 a NaN\n",
"6 0 s NaN\n",
"7 1 s 0.0\n",
"8 2 s NaN\n",
"9 3 s 10.0\n",
"10 4 s NaN\n",
"11 5 s 20.0\n",
"dict_of_array\n",
" x hue y\n",
"0 0 a 0\n",
"1 1 a 4\n",
"2 2 a 8\n",
"3 0 s 0\n",
"4 1 s 10\n",
"5 2 s 20\n",
"dict_of_list\n",
" x hue y\n",
"0 0 a 0\n",
"1 1 a 4\n",
"2 2 a 8\n",
"3 0 s 0\n",
"4 1 s 10\n",
"5 2 s 20\n",
"dict_of_dict\n",
" x hue y\n",
"0 0 a 0.0\n",
"1 1 a NaN\n",
"2 2 a 4.0\n",
"3 3 a NaN\n",
"4 4 a 8.0\n",
"5 5 a NaN\n",
"6 0 s NaN\n",
"7 1 s 0.0\n",
"8 2 s NaN\n",
"9 3 s 10.0\n",
"10 4 s NaN\n",
"11 5 s 20.0\n",
"list_of_series\n",
" x hue y\n",
"0 0 a 0.0\n",
"1 1 a NaN\n",
"2 2 a 4.0\n",
"3 3 a NaN\n",
"4 4 a 8.0\n",
"5 5 a NaN\n",
"6 0 s NaN\n",
"7 1 s 0.0\n",
"8 2 s NaN\n",
"9 3 s 10.0\n",
"10 4 s NaN\n",
"11 5 s 20.0\n",
"list_of_array\n",
" x hue y\n",
"0 0 0 0\n",
"1 1 0 4\n",
"2 2 0 8\n",
"3 0 1 0\n",
"4 1 1 10\n",
"5 2 1 20\n",
"list_of_list\n",
" x hue y\n",
"0 0 0 0\n",
"1 1 0 4\n",
"2 2 0 8\n",
"3 0 1 0\n",
"4 1 1 10\n",
"5 2 1 20\n",
"list_of_dict\n",
" x hue y\n",
"0 0 0 0.0\n",
"1 1 0 NaN\n",
"2 2 0 4.0\n",
"3 3 0 NaN\n",
"4 4 0 8.0\n",
"5 5 0 NaN\n",
"6 0 1 NaN\n",
"7 1 1 0.0\n",
"8 2 1 NaN\n",
"9 3 1 10.0\n",
"10 4 1 NaN\n",
"11 5 1 20.0\n",
"flat_series\n",
" x y\n",
"0 1 0\n",
"1 3 10\n",
"2 5 20\n",
"flat_array\n",
" x y\n",
"0 0 0\n",
"1 1 10\n",
"2 2 20\n",
"flat_list\n",
" x y\n",
"0 0 0\n",
"1 1 10\n",
"2 2 20\n",
"flat_dict\n",
" x y\n",
"0 1 0\n",
"1 3 10\n",
"2 5 20\n"
]
}
],
"source": [
"print_wide_to_long(\"rel\")"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"wide_df\n",
" x y\n",
"0 a 0\n",
"1 a 4\n",
"2 a 8\n",
"3 b 1\n",
"4 b 5\n",
"5 b 9\n",
"6 c 2\n",
"7 c 6\n",
"8 c 10\n",
"9 d 3\n",
"10 d 7\n",
"11 d 11\n",
"wide_array\n",
" x y\n",
"0 0 0\n",
"1 0 4\n",
"2 0 8\n",
"3 1 1\n",
"4 1 5\n",
"5 1 9\n",
"6 2 2\n",
"7 2 6\n",
"8 2 10\n",
"9 3 3\n",
"10 3 7\n",
"11 3 11\n",
"dict_of_series\n",
" x y\n",
"0 a 0.0\n",
"1 a NaN\n",
"2 a 4.0\n",
"3 a NaN\n",
"4 a 8.0\n",
"5 a NaN\n",
"6 s NaN\n",
"7 s 0.0\n",
"8 s NaN\n",
"9 s 10.0\n",
"10 s NaN\n",
"11 s 20.0\n",
"dict_of_array\n",
" x y\n",
"0 a 0\n",
"1 a 4\n",
"2 a 8\n",
"3 s 0\n",
"4 s 10\n",
"5 s 20\n",
"dict_of_list\n",
" x y\n",
"0 a 0\n",
"1 a 4\n",
"2 a 8\n",
"3 s 0\n",
"4 s 10\n",
"5 s 20\n",
"dict_of_dict\n",
" x y\n",
"0 a 0.0\n",
"1 a NaN\n",
"2 a 4.0\n",
"3 a NaN\n",
"4 a 8.0\n",
"5 a NaN\n",
"6 s NaN\n",
"7 s 0.0\n",
"8 s NaN\n",
"9 s 10.0\n",
"10 s NaN\n",
"11 s 20.0\n",
"list_of_series\n",
" x y\n",
"0 a 0.0\n",
"1 a NaN\n",
"2 a 4.0\n",
"3 a NaN\n",
"4 a 8.0\n",
"5 a NaN\n",
"6 s NaN\n",
"7 s 0.0\n",
"8 s NaN\n",
"9 s 10.0\n",
"10 s NaN\n",
"11 s 20.0\n",
"list_of_array\n",
" x y\n",
"0 0 0\n",
"1 0 4\n",
"2 0 8\n",
"3 1 0\n",
"4 1 10\n",
"5 1 20\n",
"list_of_list\n",
" x y\n",
"0 0 0\n",
"1 0 4\n",
"2 0 8\n",
"3 1 0\n",
"4 1 10\n",
"5 1 20\n",
"list_of_dict\n",
" x y\n",
"0 0 0.0\n",
"1 0 NaN\n",
"2 0 4.0\n",
"3 0 NaN\n",
"4 0 8.0\n",
"5 0 NaN\n",
"6 1 NaN\n",
"7 1 0.0\n",
"8 1 NaN\n",
"9 1 10.0\n",
"10 1 NaN\n",
"11 1 20.0\n",
"flat_series\n",
" x y\n",
"0 1 0\n",
"1 3 10\n",
"2 5 20\n",
"flat_array\n",
" x y\n",
"0 0 0\n",
"1 1 10\n",
"2 2 20\n",
"flat_list\n",
" x y\n",
"0 0 0\n",
"1 1 10\n",
"2 2 20\n",
"flat_dict\n",
" x y\n",
"0 1 0\n",
"1 3 10\n",
"2 5 20\n"
]
}
],
"source": [
"print_wide_to_long(\"cat\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "seaborn-refactor (py38)",
"language": "python",
"name": "seaborn-refactor"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
@phobson
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phobson commented May 11, 2020

This approach looks good and makes a lot of sense to me. I think it'd make a great addition to seaborn.

This does expand the scope of seaborn away from pretty-much-only tidy data. Is the hope to reduce the support burden from users who actually just need help tidying their data?

@mwaskom
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mwaskom commented May 11, 2020

This does expand the scope of seaborn away from pretty-much-only tidy data.

Many functions handle do wide-form data (see the "Current Behavior" section), but that's not widely (heh) appreciated. Partially that is because the handling is a little bit idiosyncratic across the library. And any function that integrates with FacetGrid currently requires long-from data; fixing that is part of this refactor.

The reason that long-form data is preferred is that the mapping from variables to semantics is very explicit and predictable. The main goal here is to make the implicit mappings that you get with wide-form data formal, so they can be more predictable.

Also, seaborn is moving to keyword-only arguments but I am increasingly leaning towards the generic function signature being func(data, *, ...) so that func(data) does something useful for almost any data structure one might have at hand.

@mwaskom
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mwaskom commented May 11, 2020

A big open question is whether to allow mixing of wide-form data inputs and explicit semantics, e.g. sns.boxplot(data=iris, hue="species"). On the one hand, that seems fairly handy. On the other hand, it starts to blur the distinction between wide/long data in a way that could breed confusion.

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