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jpivarski/matplotlib-awkward.ipynb

Created July 29, 2020 16:36
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Matplotlib should fail for unflattened arrays (as it does here)
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matplotlib-awkward.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import urllib.request\n",
"import json\n",
"\n",
"import awkward1 as ak\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"url = \"https://raw.githubusercontent.com/Chicago/osd-bike-routes/master/data/Bikeroutes.geojson\"\n",
"bikeroutes_json = urllib.request.urlopen(url).read()\n",
"bikeroutes_pyobj = json.loads(bikeroutes_json)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<Record ... [-87.7, 42], [-87.7, 42]]]}}]} type='{\"type\": string, \"crs\": {\"type\"...'>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bikeroutes = ak.Record(bikeroutes_pyobj)\n",
"bikeroutes"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(<Array [[[-87.8, -87.8, ... -87.7, -87.7]]] type='1061 * var * var * float64'>,\n",
" <Array [[[41.9, 41.9, 41.9, ... 42, 42, 42]]] type='1061 * var * var * float64'>)"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"longitude = bikeroutes.features.geometry.coordinates[..., 0]\n",
"latitude = bikeroutes.features.geometry.coordinates[..., 1]\n",
"longitude, latitude"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(<Array [[[-9.68, -9.69, ... -3.58, -3.62]]] type='1061 * var * var * float64'>,\n",
" <Array [[[6.68, 6.68, 6.67, ... 9.68, 9.72]]] type='1061 * var * var * float64'>)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"km_east = (longitude - np.mean(longitude)) * 82.7\n",
"km_north = (latitude - np.mean(latitude)) * 111.1\n",
"km_east, km_north"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.PathCollection at 0x7a88d72a9590>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"plt.scatter(ak.flatten(km_east, axis=None), ak.flatten(km_north, axis=None))"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "in ListOffsetArray64, cannot convert to RegularArray because subarray lengths are not regular",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-7-e13c414b36bc>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkm_east\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkm_north\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/matplotlib/pyplot.py\u001b[0m in \u001b[0;36mscatter\u001b[0;34m(x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, plotnonfinite, data, **kwargs)\u001b[0m\n\u001b[1;32m 2876\u001b[0m \u001b[0mverts\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mverts\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0medgecolors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0medgecolors\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2877\u001b[0m \u001b[0mplotnonfinite\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mplotnonfinite\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2878\u001b[0;31m **({\"data\": data} if data is not None else {}), **kwargs)\n\u001b[0m\u001b[1;32m 2879\u001b[0m \u001b[0msci\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m__ret\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2880\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0m__ret\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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"\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/matplotlib/axes/_axes.py\u001b[0m in \u001b[0;36mscatter\u001b[0;34m(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, plotnonfinite, **kwargs)\u001b[0m\n\u001b[1;32m 4430\u001b[0m \u001b[0;31m# Process **kwargs to handle aliases, conflicts with explicit kwargs:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4431\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 4432\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_process_unit_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mydata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4433\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvert_xunits\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4434\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvert_yunits\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m_process_unit_info\u001b[0;34m(self, xdata, ydata, kwargs)\u001b[0m\n\u001b[1;32m 2192\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2193\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2194\u001b[0;31m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_process_single_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxaxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'xunits'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2195\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_process_single_axis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mydata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myaxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'yunits'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2196\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m_process_single_axis\u001b[0;34m(data, axis, unit_name, kwargs)\u001b[0m\n\u001b[1;32m 2175\u001b[0m \u001b[0;31m# We only need to update if there is nothing set yet.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2176\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhave_units\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2177\u001b[0;31m \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate_units\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2178\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2179\u001b[0m \u001b[0;31m# Check for units in the kwargs, and if present update axis\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/matplotlib/axis.py\u001b[0m in \u001b[0;36mupdate_units\u001b[0;34m(self, data)\u001b[0m\n\u001b[1;32m 1455\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m*\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mregistered\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0munit\u001b[0m \u001b[0mconversion\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1456\u001b[0m \"\"\"\n\u001b[0;32m-> 1457\u001b[0;31m \u001b[0mconverter\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmunits\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregistry\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_converter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1458\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mconverter\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1459\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/matplotlib/units.py\u001b[0m in \u001b[0;36mget_converter\u001b[0;34m(self, x)\u001b[0m\n\u001b[1;32m 208\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 209\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# If cache lookup fails, look up based on first element...\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 210\u001b[0;31m \u001b[0mfirst\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msafe_first_element\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 211\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mTypeError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 212\u001b[0m \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/matplotlib/cbook/__init__.py\u001b[0m in \u001b[0;36msafe_first_element\u001b[0;34m(obj)\u001b[0m\n\u001b[1;32m 1651\u001b[0m raise RuntimeError(\"matplotlib does not support generators \"\n\u001b[1;32m 1652\u001b[0m \"as input\")\n\u001b[0;32m-> 1653\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1654\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1655\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/awkward1/highlevel.py\u001b[0m in \u001b[0;36m__iter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 526\u001b[0m \"\"\"\n\u001b[1;32m 527\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mawkward1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_util\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcalled_by_module\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"matplotlib\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 528\u001b[0;31m \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mawkward1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_connect\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_numpy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvert_to_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_layout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 529\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 530\u001b[0m \u001b[0;32myield\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/awkward1/_connect/_numpy.py\u001b[0m in \u001b[0;36mconvert_to_array\u001b[0;34m(layout, args, kwargs)\u001b[0m\n\u001b[1;32m 13\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mconvert_to_array\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlayout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mawkward1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moperations\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconvert\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_numpy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlayout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mallow_missing\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 16\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0margs\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 17\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/miniconda3/lib/python3.7/site-packages/awkward1/operations/convert.py\u001b[0m in \u001b[0;36mto_numpy\u001b[0;34m(array, allow_missing)\u001b[0m\n\u001b[1;32m 235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 236\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mawkward1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_util\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlisttypes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 237\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mto_numpy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtoRegularArray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mallow_missing\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mallow_missing\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 238\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 239\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mawkward1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_util\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecordtypes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mValueError\u001b[0m: in ListOffsetArray64, cannot convert to RegularArray because subarray lengths are not regular"
]
},
{
"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": [
"plt.scatter(km_east, km_north)"
]
},
{
"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": "3.7.8"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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