Created
April 11, 2019 15:41
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draggable_table
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import bqplot.pyplot as plt\n", | |
"from ipywidgets import Label, GridspecLayout, DropBox, Layout\n", | |
"import json" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"def create_table(data):\n", | |
" n_cols = len(data)\n", | |
" n_rows = max(len(column) for column in data.values())\n", | |
" grid = GridspecLayout(n_rows+1, n_cols)\n", | |
" columnames = list(data.keys())\n", | |
" for i in range(n_cols):\n", | |
" column = columnames[i]\n", | |
" data_json = json.dumps(data[column])\n", | |
" grid[0, i] = Label(columnames[i], draggable=True)\n", | |
" grid[0, i].drag_data = {'data/app' : data_json}\n", | |
" for j in range(n_rows):\n", | |
" grid[j+1, i] = Label(str(data[column][j]), draggable=True)\n", | |
" grid[j+1, i].drag_data = {'data/app' : data_json}\n", | |
" return grid\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "fc1341ee8299426e83479e8046602c1a", | |
"version_major": 2, | |
"version_minor": 0 | |
}, | |
"text/plain": [ | |
"GridspecLayout(children=(Label(value='col1', drag_data={'data/app': '[4, 2, 1]'}, draggable=True, layout=Layou…" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plot_data = {'col1' : [4, 2, 1],\n", | |
" 'col2' : [1, 3 ,4],\n", | |
" 'col3' : [-1, 2, -3]}\n", | |
"create_table(plot_data)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from ipywidgets import DropBox, Box\n", | |
"box = DropBox(layout=Layout(height='500px', width='800px'))\n", | |
"def box_ondrop(widget, data):\n", | |
" fig = plt.figure()\n", | |
" y = json.loads(data['data/app'])\n", | |
" plt.plot(y)\n", | |
" widget.children = (fig, )\n", | |
"box.on_drop(box_ondrop)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "2da4134adaca4fe99a4f2f6624cbc406", | |
"version_major": 2, | |
"version_minor": 0 | |
}, | |
"text/plain": [ | |
"GridspecLayout(children=(Label(value='col1', drag_data={'data/app': '[4, 2, 1]'}, draggable=True, layout=Layou…" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plot_data = {'col1' : [4, 2, 1],\n", | |
" 'col2' : [1, 3 ,4],\n", | |
" 'col3' : [-1, 2, -3]}\n", | |
"create_table(plot_data)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "8c35afa98a724505a884bae516f0d869", | |
"version_major": 2, | |
"version_minor": 0 | |
}, | |
"text/plain": [ | |
"DropBox(layout=Layout(height='500px', width='800px'))" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"\n", | |
"box" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"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": "3.7.2" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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