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January 10, 2022 17:20
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Examples of how to plot Nextstrain trees
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "id": "aee0f32a-0af1-4bbc-ace2-36b9081b4791", | |
| "metadata": {}, | |
| "source": [ | |
| "# Plotting Nextstrain trees\n", | |
| "\n", | |
| "Examples of how to plot a Nextstrain tree for [Zika virus](https://nextstrain.org/zika) with different plotting tools." | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "3199cbd8-778a-417a-924d-1ed319c2467b", | |
| "metadata": {}, | |
| "source": [ | |
| "## Setup modules, config, and data" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "73d4318f-c901-4835-bda3-288c5d1d65dc", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "from augur.utils import json_to_tree\n", | |
| "import Bio\n", | |
| "import baltic as bt\n", | |
| "import ete3 as et\n", | |
| "from matplotlib import pyplot as plt\n", | |
| "import numpy as np\n", | |
| "import requests\n", | |
| "import seaborn as sns\n", | |
| "\n", | |
| "%matplotlib inline" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "4a70236c-d791-48ea-899f-84b999ca9b8c", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "tree_url = \"http://data.nextstrain.org/zika.json\"" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "id": "fdf8df4e-4e99-418c-b04a-169534dcf527", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "tree_json = requests.get(tree_url).json()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "id": "69665688-8773-4202-bf83-e5ac73bf0e52", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "tree = json_to_tree(tree_json)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "id": "5b3b83dc-cec3-4c12-9156-6cbc5004129f", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Clade(branch_length=0, name='NODE_0000001')" | |
| ] | |
| }, | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "tree" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "419cd7bb-ca33-4192-a54f-9c0b0edea5e9", | |
| "metadata": {}, | |
| "source": [ | |
| "## Plot with BioPython" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "id": "84ab1583-01fc-4a63-a155-9497556efb5b", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "Bio.Phylo.draw(tree)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "id": "0c7841df-5bc0-4e07-a3ac-a83c4e43822f", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 432x288 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "Bio.Phylo.draw(tree, label_func=lambda node: \"\")" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "cda6822a-23b0-4baa-9f5b-d9973860bd3d", | |
| "metadata": {}, | |
| "source": [ | |
| "## Plot with ETE3 and matplotlib\n", | |
| "\n", | |
| "Use [Sidney's approach to plotting with ETE3 and matplotlib](https://github.com/nextstrain/augur/blob/a29ba5df27721c04989cc6985734e0f3c222f618/docs/faq/load-nextstrain-json-to-ete.ipynb)." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "id": "93948cb8-4c5d-4d39-8886-c8c6f325067d", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "def make_node(data_dict):\n", | |
| " '''\n", | |
| " data_dict: portion of the nextstrain tree JSON representing either an internal node or leaf\n", | |
| " returns: ete3 TreeNode object with all attributes and relationships populated from the nextstrain JSON\n", | |
| " '''\n", | |
| " node = et.TreeNode()\n", | |
| " node.name = data_dict['name'] # copy name\n", | |
| " node.dist = 0. # initialize for the root node\n", | |
| " \n", | |
| " def add_features(attrs, node):\n", | |
| " '''\n", | |
| " attrs: dictionary of either `branch_attrs` or `node_attrs` from the nextstrain json\n", | |
| " node: node to attach these to\n", | |
| " side effect: modifies node in place to attach these attributes as `node.features` per ETE3 convention.\n", | |
| " these can later be referenced via `getattr(node, attribute_name) => value`\n", | |
| " '''\n", | |
| " attrs = { \n", | |
| " k: v['value'] if # deal with nextstrain json format quirk with occasional nested dictionaries for single-value attributes\n", | |
| " isinstance(v, dict) and 'value' in v\n", | |
| " else v\n", | |
| " for k,v in attrs.items()\n", | |
| " }\n", | |
| " node.add_features(**attrs)\n", | |
| " \n", | |
| " if 'branch_attrs' in data_dict:\n", | |
| " add_features(data_dict['branch_attrs'], node) \n", | |
| " \n", | |
| " if 'node_attrs' in data_dict:\n", | |
| " cumulative_div = data_dict['node_attrs'].pop('div') # pop out the divergence value to store as `node.dist`, rather than as a metadata feature\n", | |
| " add_features(data_dict['node_attrs'], node)\n", | |
| "\n", | |
| " \n", | |
| " if 'children' in data_dict and len(data_dict['children']) > 0: # recursively visit each of the children of the node to build out the full tree structure with the right parental relationships\n", | |
| " for c in data_dict['children']:\n", | |
| " if 'node_attrs' in c and 'div' in c['node_attrs']:\n", | |
| " d = c['node_attrs']['div']\n", | |
| " else:\n", | |
| " d = 0.\n", | |
| " node.add_child(make_node(c), \n", | |
| " dist = d - cumulative_div) # nextstrain records each node/leaf's *total distance* from the root, not the incremental distance from its parent\n", | |
| " return node\n", | |
| " \n", | |
| "def make_tree(json_file):\n", | |
| " '''\n", | |
| " json_file: filehandle to read or pre-parsed JSON file as a dictionary\n", | |
| " returns: ete3.Tree object. NB that ete3.Tree and ete3.TreeNode objects are synonymous; see their docs for more\n", | |
| " '''\n", | |
| " if type(json_file) == str:\n", | |
| " json_dict = json.load(open(json_file, 'r'))\n", | |
| " else:\n", | |
| " assert(type(json_file)==dict)\n", | |
| " json_dict = json_file\n", | |
| " \n", | |
| " tree = make_node(json_dict['tree'])\n", | |
| " return tree" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "id": "45c831b2-33d3-4036-ae62-7c82c5b9995a", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "ete3_tree = make_tree(tree_json)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "id": "af95b6bd-f832-40b0-9814-b33212a6a6dc", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "Tree node 'NODE_0000001' (0x7fc34728d37)" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "ete3_tree" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "id": "9ab5695b-f737-4314-82bb-c1ccbfcd8a81", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# Takes too long to run.\n", | |
| "#ete3_tree.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "id": "9f834540-51d5-4fd3-9d49-61534831087a", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "'''\n", | |
| "CREDITS: This function is lightly adapted from the baltic package created by Gytis Dudas.\n", | |
| "https://github.com/blab/baltic/blob/master/baltic.py#L268\n", | |
| "'''\n", | |
| "\n", | |
| "def assign_x_y_coordinates(tree, verbose=False):\n", | |
| " \"\"\" Find x and y coordinates of each branch. \"\"\"\n", | |
| " tree.ladderize() ## rotate nodes for a tidier tree\n", | |
| " root = tree.get_tree_root()\n", | |
| " order = [k for k in tree.traverse('postorder')]\n", | |
| " name_order=[getattr(k, 'name') for k in order]\n", | |
| " skips = [1 for k in order]\n", | |
| "\n", | |
| " for k in order: ## reset coordinates for all objects\n", | |
| " k.del_feature('x')\n", | |
| " k.del_feature('y')\n", | |
| " \n", | |
| " storePlotted=0\n", | |
| " drawn={} ## drawn keeps track of what's been drawn\n", | |
| " \n", | |
| " def get_height(k, root = root):\n", | |
| " return k.get_distance(root)\n", | |
| " \n", | |
| " while len(drawn)!=len(order): # keep drawing the tree until everything is drawn\n", | |
| " if verbose==True:\n", | |
| " print('Drawing iteration %d'%(len(drawn)))\n", | |
| " for k in filter(lambda w:w.name not in drawn,order): ## iterate through objects that have not been drawn\n", | |
| " if k.is_leaf(): ## if leaf - get position of leaf, draw branch connecting tip to parent node\n", | |
| " if verbose==True:\n", | |
| " print('Setting leaf %s y coordinate to'%(k.name))\n", | |
| " x=get_height(k) ## x position is distance from root\n", | |
| " y_idx=name_order.index(k.name) ## y position of leaf is given by the order in which tips were visited during the traversal\n", | |
| " y=sum(skips[y_idx:]) ## sum across skips to find y position\n", | |
| " if verbose==True:\n", | |
| " print('%s'%(y))\n", | |
| " k.add_feature('x', x) ## set x and y coordinates\n", | |
| " k.add_feature('y', y)\n", | |
| " drawn[k.name]=None ## remember that this objects has been drawn\n", | |
| " if hasattr(k.up,'yRange')==False: ## if parent doesn't have a maximum extent of its children's y coordinates\n", | |
| " k.up.add_feature('yRange',[k.y,k.y]) ## assign it\n", | |
| "\n", | |
| " elif not k.is_root(): ## if parent is non-root node and y positions of all its children are known\n", | |
| " if len([q.y for q in k.children if hasattr(q, 'y')])==len(k.children):\n", | |
| " if verbose==True:\n", | |
| " print('Setting node %s coordinates'%(k.name))\n", | |
| " x=get_height(k) ## x position is height\n", | |
| " children_y_coords=[q.y for q in k.children]# if hasattr(q, y)] ## get all existing y coordinates of the node\n", | |
| " y=sum(children_y_coords)/float(len(children_y_coords)) ## internal branch is in the middle of the vertical bar\n", | |
| " k.add_feature('x', x)\n", | |
| " k.add_feature('y', y)\n", | |
| " drawn[k.name]=None ## remember that this objects has been drawn\n", | |
| " minYrange=min([min(child.yRange) if not child.is_leaf() else child.y for child in k.children]) ## get lowest y coordinate across children\n", | |
| " maxYrange=max([max(child.yRange) if not child.is_leaf() else child.y for child in k.children]) ## get highest y coordinate across children\n", | |
| " k.add_feature('yRange', [minYrange,maxYrange]) ## assign the maximum extent of children's y coordinates\n", | |
| "\n", | |
| " if len(drawn) <= storePlotted:\n", | |
| " break\n", | |
| " storePlotted=len(drawn)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 13, | |
| "id": "f16fc9f2-b5a5-4de3-ba38-4098e190fdbf", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "def plot_tree(tree, colorby = None, y_stretch = 1.0, tip_size = 20, \n", | |
| " branchWidth=2, ax=None, palette = plt.cm.Pastel2): \n", | |
| " \n", | |
| " '''\n", | |
| " tree = ete3 TreeNode object\n", | |
| " colorby = categorical metadata feature to color the leaves by\n", | |
| " y_stretch = factor by which to stretch out the figure vertically (useful for dense trees)\n", | |
| " tip_size = size of the circles for each leaf\n", | |
| " branchWidth = width of the line for each branch\n", | |
| " ax = matplotlib ax object to plot on, useful for positioning in subplots\n", | |
| " palette = matplotlib color palette to use `colorby\n", | |
| " '''\n", | |
| " \n", | |
| " if not ax: ## create an axis if needed\n", | |
| " fig, ax = plt.subplots(figsize=(4,6))\n", | |
| " \n", | |
| " if colorby: ## create a colormap for categorical values\n", | |
| " vals = sorted(list(\n", | |
| " set([getattr(l, colorby, None) for l in tree.iter_leaves()])))\n", | |
| " colors = np.linspace(0,1,len(vals))\n", | |
| " cmap = {val : palette(color) for val, color in zip(vals, colors)}\n", | |
| "# plt.legend(handles = colors, labels = vals) \n", | |
| " \n", | |
| " for k in tree.traverse(): ## iterate over each node and leaf in the tree\n", | |
| " x = getattr(k, 'x', 0.0) # define coordinates; fill in 0.0 for any missing coordinates\n", | |
| " xp = getattr(k.up, 'x', 0.0)\n", | |
| " y = getattr(k, 'y', 0.0)*y_stretch\n", | |
| "\n", | |
| " # plot leaves\n", | |
| " if k.is_leaf(): \n", | |
| " if colorby == None or colorby not in k.features:\n", | |
| " c = 'darkgray' # plot missing colorby values in gray\n", | |
| " else:\n", | |
| " c = cmap[getattr(k, colorby)] # leaf color\n", | |
| " \n", | |
| "# plt.text(x*1.05, y, k.name, fontsize=9, va='center') # leaf labels\n", | |
| " plt.scatter(x,y,s=tip_size,facecolor=c,edgecolor='none',zorder=11) ## plot circle for every leaf\n", | |
| " plt.scatter(x,y,s=1.8*tip_size,facecolor='black',edgecolor='none',zorder=10) ## plot black outline\n", | |
| " \n", | |
| " # plot internal nodes\n", | |
| " else: \n", | |
| " plt.plot([x,x],[k.children[-1].y*y_stretch,k.children[0].y*y_stretch],lw=branchWidth,color='darkgray',ls='-',zorder=9) # vertical lines\n", | |
| " \n", | |
| " # plot branches\n", | |
| " plt.plot([xp,x],[y,y],lw=branchWidth,color='darkgray',ls='-',zorder=9)\n", | |
| "\n", | |
| " for side in ['top', 'right', 'bottom', 'left']:\n", | |
| " ax.spines[side].set_visible(False)\n", | |
| " plt.yticks(ticks=[]) ## turn off y axis\n", | |
| "\n", | |
| " plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 14, | |
| "id": "f7967bbb-bda8-4989-8c3e-c3b3a34ecc76", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
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\n", | |
| "text/plain": [ | |
| "<Figure size 288x432 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| }, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "assign_x_y_coordinates(ete3_tree)\n", | |
| "plot_tree(ete3_tree, colorby='region')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "2bf6c6c4-d13a-4fd1-8558-53018a9e6bda", | |
| "metadata": {}, | |
| "source": [ | |
| "## Plot with BALTIC" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 15, | |
| "id": "3aaada22-342e-447b-aae6-a28781f895cb", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "\n", | |
| "Tree height: 12.952258\n", | |
| "Tree length: 671.985888\n", | |
| "annotations present\n", | |
| "\n", | |
| "Numbers of objects in tree: 1513 (686 nodes and 827 leaves)\n", | |
| "\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "baltic_tree, baltic_meta = bt.loadJSON(tree_url)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 16, | |
| "id": "2f8f1336-753d-486a-b34b-b24c3d80bed2", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<baltic.baltic.tree at 0x7fc34435dc10>" | |
| ] | |
| }, | |
| "execution_count": 16, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "baltic_tree" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 17, | |
| "id": "84c8cf40-5905-4c14-87c1-bc0c8dc169c3", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "{'build_url': 'https://github.com/nextstrain/zika',\n", | |
| " 'colorings': [{'key': 'gt', 'title': 'genotype', 'type': 'categorical'},\n", | |
| " {'key': 'num_date', 'title': 'date', 'type': 'continuous'},\n", | |
| " {'key': 'author', 'title': 'author', 'type': 'categorical'},\n", | |
| " {'key': 'country',\n", | |
| " 'scale': [['Angola', '#4530BB'],\n", | |
| " ['India', '#3F45C8'],\n", | |
| " ['Cambodia', '#3F51CC'],\n", | |
| " ['Thailand', '#3E5DD0'],\n", | |
| " ['Vietnam', '#4068CF'],\n", | |
| " ['Singapore', '#447DCC'],\n", | |
| " ['China', '#4B8EC1'],\n", | |
| " ['Australia', '#549DB3'],\n", | |
| " ['Japan', '#58A3AB'],\n", | |
| " ['French Polynesia', '#5EA8A2'],\n", | |
| " ['American Samoa', '#64AC99'],\n", | |
| " ['Fiji', '#6AB090'],\n", | |
| " ['Brazil', '#78B67E'],\n", | |
| " ['Peru', '#7FB975'],\n", | |
| " ['Ecuador', '#86BB6D'],\n", | |
| " ['Colombia', '#8FBC66'],\n", | |
| " ['French Guiana', '#97BD5F'],\n", | |
| " ['Suriname', '#9FBE59'],\n", | |
| " ['Venezuela', '#A8BD54'],\n", | |
| " ['Panama', '#B0BD4E'],\n", | |
| " ['Nicaragua', '#B8BC4A'],\n", | |
| " ['Honduras', '#C0BA47'],\n", | |
| " ['El Salvador', '#C8B944'],\n", | |
| " ['Guatemala', '#CFB541'],\n", | |
| " ['Mexico', '#D5B13F'],\n", | |
| " ['Martinique', '#DBAC3D'],\n", | |
| " ['Guadeloupe', '#DFA53B'],\n", | |
| " ['Saint Barthelemy', '#E29E39'],\n", | |
| " ['Usvi', '#E59638'],\n", | |
| " ['Puerto Rico', '#E68B35'],\n", | |
| " ['Jamaica', '#E68033'],\n", | |
| " ['Dominican Republic', '#E67531'],\n", | |
| " ['Haiti', '#E4672E'],\n", | |
| " ['Cuba', '#E2592C'],\n", | |
| " ['Usa', '#E04B29']],\n", | |
| " 'title': 'country',\n", | |
| " 'type': 'categorical'},\n", | |
| " {'key': 'region',\n", | |
| " 'scale': [['China', '#4042C7'],\n", | |
| " ['Southeast Asia', '#4274CE'],\n", | |
| " ['South Asia', '#5199B7'],\n", | |
| " ['Japan Korea', '#69B091'],\n", | |
| " ['Oceania', '#88BB6C'],\n", | |
| " ['Africa', '#CEB541'],\n", | |
| " ['South America', '#E56C2F'],\n", | |
| " ['North America', '#DC2F24']],\n", | |
| " 'title': 'region',\n", | |
| " 'type': 'categorical'}],\n", | |
| " 'description': 'This work is made possible by the open sharing of genetic data by research groups from all over the world. We gratefully acknowledge their contributions.\\n\\nSpecial thanks to Nick Loman, Nathan Grubaugh, Kristof Theys, Nuno Faria, Kristian Andersen, Andrew Rambaut and Karl Erlandson for data sharing, comments and suggestions.\\n',\n", | |
| " 'display_defaults': {'map_triplicate': True},\n", | |
| " 'filters': ['country', 'region', 'author'],\n", | |
| " 'genome_annotations': {'2K': {'end': 6897,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 6829,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'CDS'},\n", | |
| " 'CA': {'end': 456,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 91,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'CDS'},\n", | |
| " 'ENV': {'end': 2472,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 961,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'CDS'},\n", | |
| " 'MP': {'end': 960,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 736,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'CDS'},\n", | |
| " 'NS1': {'end': 3528,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 2473,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'CDS'},\n", | |
| " 'NS2A': {'end': 4206,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 3529,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'CDS'},\n", | |
| " 'NS2B': {'end': 4596,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 4207,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'CDS'},\n", | |
| " 'NS3': {'end': 6447,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 4597,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'CDS'},\n", | |
| " 'NS4A': {'end': 6828,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 6448,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'CDS'},\n", | |
| " 'NS4B': {'end': 7650,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 6898,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'CDS'},\n", | |
| " 'NS5': {'end': 10359,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 7651,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'CDS'},\n", | |
| " 'PRO': {'end': 735,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 457,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'CDS'},\n", | |
| " 'nuc': {'end': 10769,\n", | |
| " 'seqid': 'config/zika_reference.gb',\n", | |
| " 'start': 1,\n", | |
| " 'strand': '+',\n", | |
| " 'type': 'source'}},\n", | |
| " 'geo_resolutions': [{'demes': {'American Samoa': {'latitude': -14.27806,\n", | |
| " 'longitude': -170.7025},\n", | |
| " 'Angola': {'latitude': -11.8775767, 'longitude': 17.5691241},\n", | |
| " 'Argentina': {'latitude': -34.0, 'longitude': -64.0},\n", | |
| " 'Australia': {'latitude': -24.7761085, 'longitude': 134.755},\n", | |
| " 'Brazil': {'latitude': -10.3333332, 'longitude': -53.1999999},\n", | |
| " 'Cambodia': {'latitude': 13.0, 'longitude': 105.0},\n", | |
| " 'Cape Verde': {'latitude': 14.998654, 'longitude': -23.530702},\n", | |
| " 'China': {'latitude': 35.000074, 'longitude': 104.999927},\n", | |
| " 'Colombia': {'latitude': 2.893108, 'longitude': -73.7845142},\n", | |
| " 'Cuba': {'latitude': 22.0, 'longitude': -79.5},\n", | |
| " 'Dominican Republic': {'latitude': 18.50012, 'longitude': -69.98857},\n", | |
| " 'Ecuador': {'latitude': -1.3397667, 'longitude': -79.3666964},\n", | |
| " 'El Salvador': {'latitude': 13.68935, 'longitude': -89.18718},\n", | |
| " 'Fiji': {'latitude': -18.1239695, 'longitude': 179.0122737},\n", | |
| " 'French Guiana': {'latitude': 4.93333, 'longitude': -52.33333},\n", | |
| " 'French Polynesia': {'latitude': -17.6797, 'longitude': -149.4068},\n", | |
| " 'Guadeloupe': {'latitude': 16.265, 'longitude': -61.551},\n", | |
| " 'Guatemala': {'latitude': 15.6356088, 'longitude': -89.8988086},\n", | |
| " 'Haiti': {'latitude': 19.1399952, 'longitude': -72.3570971},\n", | |
| " 'Honduras': {'latitude': 15.0610686, 'longitude': -84.5978533},\n", | |
| " 'India': {'latitude': 22.3511148, 'longitude': 78.6677428},\n", | |
| " 'Jamaica': {'latitude': 18.16667, 'longitude': -77.25},\n", | |
| " 'Japan': {'latitude': 35.68536, 'longitude': 139.75309},\n", | |
| " 'Martinique': {'latitude': 14.6415, 'longitude': -61.0242},\n", | |
| " 'Mexico': {'latitude': 19.4325301, 'longitude': -99.1332101},\n", | |
| " 'Nicaragua': {'latitude': 13.0, 'longitude': -85.0},\n", | |
| " 'Panama': {'latitude': 8.3096067, 'longitude': -81.3066245},\n", | |
| " 'Peru': {'latitude': -10.0, 'longitude': -75.25},\n", | |
| " 'Puerto Rico': {'latitude': 18.2459121, 'longitude': -66.4164147},\n", | |
| " 'Saint Barthelemy': {'latitude': 17.9049171, 'longitude': -62.847207},\n", | |
| " 'Singapore': {'latitude': 1.2904527, 'longitude': 103.852038},\n", | |
| " 'Suriname': {'latitude': 4.1413025, 'longitude': -56.0771186},\n", | |
| " 'Thailand': {'latitude': 14.8971921, 'longitude': 100.83273},\n", | |
| " 'Trinidad And Tobago': {'latitude': 10.8677845, 'longitude': -60.9821066},\n", | |
| " 'Usa': {'latitude': 39.7837304, 'longitude': -100.4458824},\n", | |
| " 'Usvi': {'latitude': 18.3378801, 'longitude': -64.8982827},\n", | |
| " 'Venezuela': {'latitude': 8.0, 'longitude': -66.0},\n", | |
| " 'Vietnam': {'latitude': 16.16667, 'longitude': 107.83333}},\n", | |
| " 'key': 'country'},\n", | |
| " {'demes': {'Africa': {'latitude': 4.070194, 'longitude': 21.824559},\n", | |
| " 'China': {'latitude': 35.000074, 'longitude': 104.999927},\n", | |
| " 'Japan Korea': {'latitude': 35.845119, 'longitude': 136.736386},\n", | |
| " 'North America': {'latitude': 28.2367447, 'longitude': -97.738017},\n", | |
| " 'Oceania': {'latitude': -25.0562891, 'longitude': 152.008576},\n", | |
| " 'South America': {'latitude': -13.083583, 'longitude': -58.470721},\n", | |
| " 'South Asia': {'latitude': 24.485438, 'longitude': 76.513158},\n", | |
| " 'Southeast Asia': {'latitude': 3.020567, 'longitude': 112.390683}},\n", | |
| " 'key': 'region'}],\n", | |
| " 'maintainers': [{'name': 'Trevor Bedford',\n", | |
| " 'url': 'http://bedford.io/team/trevor-bedford/'}],\n", | |
| " 'panels': ['tree', 'map', 'entropy'],\n", | |
| " 'title': 'Real-time tracking of Zika virus evolution',\n", | |
| " 'updated': '2021-10-28'}" | |
| ] | |
| }, | |
| "execution_count": 17, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "baltic_meta" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 18, | |
| "id": "a3eeafed-b4c5-44fa-bae8-499493ce4091", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
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\n", | |
| "text/plain": [ | |
| "<Figure size 720x720 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "fig, ax = plt.subplots(figsize=(10, 10),facecolor='w')\n", | |
| "\n", | |
| "x_attr=lambda k: k.absoluteTime ## x coordinate of branches will be absoluteTime attribute\n", | |
| "c_func=lambda k: 'indianred' ## colour of branches\n", | |
| "s_func=lambda k: 50-30*k.height/baltic_tree.treeHeight ## size of tips\n", | |
| "\n", | |
| "baltic_tree.plotTree(ax, x_attr=x_attr, colour=c_func) ## plot branches\n", | |
| "baltic_tree.plotPoints(ax, x_attr=x_attr, size=s_func, colour=c_func, zorder=100) ## plot circles at tips\n", | |
| "\n", | |
| "ax.set_ylim(-5, baltic_tree.ySpan+5)\n", | |
| "\n", | |
| "plt.yticks(ticks=[]) ## turn off y axis\n", | |
| "for side in ['top', 'right', 'left']:\n", | |
| " ax.spines[side].set_visible(False)\n", | |
| " \n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 19, | |
| "id": "09ecbcbc-3750-4691-8a53-65b6a7513646", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "def get_colors_by_attribute(tree, colorby, palette=plt.cm.tab10):\n", | |
| " vals = sorted(set([l.traits.get(\"node_attrs\", {}).get(colorby, {}).get(\"value\", None) for l in tree.getExternal()]))\n", | |
| " colors = np.linspace(0,1,len(vals))\n", | |
| " cmap = {val : palette(color) for val, color in zip(vals, colors)}\n", | |
| " \n", | |
| " c_func = lambda k: cmap.get(k.traits.get(\"node_attrs\").get(colorby, {}).get(\"value\"), \"#cccccc\")\n", | |
| " return c_func" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 20, | |
| "id": "e05423f4-941c-4fcd-81ab-9a67fc6513be", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "colors_by_region = get_colors_by_attribute(baltic_tree, \"region\", plt.cm.tab10)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 21, | |
| "id": "9fab7ab9-9b2d-4069-bbb6-6a9f0ba5c0fe", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<function __main__.get_colors_by_attribute.<locals>.<lambda>(k)>" | |
| ] | |
| }, | |
| "execution_count": 21, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "colors_by_region" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 22, | |
| "id": "cac72195-06a7-45af-b87b-ee01dd95bc7e", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "(0.09019607843137255, 0.7450980392156863, 0.8117647058823529, 1.0)" | |
| ] | |
| }, | |
| "execution_count": 22, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "colors_by_region(baltic_tree.getExternal()[0])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 23, | |
| "id": "6039abab-48e9-46d5-aee2-38b62135140e", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 720x720 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "fig, ax = plt.subplots(figsize=(10, 10),facecolor='w')\n", | |
| "\n", | |
| "x_attr=lambda k: k.absoluteTime ## x coordinate of branches will be absoluteTime attribute\n", | |
| "c_func=colors_by_region ## colour of branches\n", | |
| "s_func=lambda k: 50-30*k.height/baltic_tree.treeHeight ## size of tips\n", | |
| "\n", | |
| "baltic_tree.plotTree(ax, x_attr=x_attr, colour=c_func) ## plot branches\n", | |
| "baltic_tree.plotPoints(ax, x_attr=x_attr, size=s_func, colour=c_func, zorder=100) ## plot circles at tips\n", | |
| "\n", | |
| "ax.set_ylim(-5, baltic_tree.ySpan+5)\n", | |
| "\n", | |
| "plt.yticks(ticks=[]) ## turn off y axis\n", | |
| "for side in ['top', 'right', 'left']:\n", | |
| " ax.spines[side].set_visible(False)\n", | |
| "\n", | |
| "plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "52419ce7-42de-41c2-aa3d-6ff6bf2c2c96", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3 (ipykernel)", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.8.12" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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