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Commit 4e4d4e3

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Misc example updates
1 parent 918b3b5 commit 4e4d4e3

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3 files changed

+24
-17
lines changed

3 files changed

+24
-17
lines changed

‎2-analysis-examples/bird-migration.ipynb‎

Lines changed: 7 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -146,8 +146,8 @@
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"metadata": {},
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"outputs": [],
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"source": [
149-
"traj_collection = mpd.TrajectoryCollection(df, 'individual-local-identifier', t='timestamp', min_length=100) \n",
150-
"traj_collection"
149+
"tc = mpd.TrajectoryCollection(df, 'individual-local-identifier', t='timestamp', min_length=100) \n",
150+
"tc"
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]
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},
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{
@@ -163,7 +163,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
166-
"traj_collection = mpd.MinTimeDeltaGeneralizer(traj_collection).generalize(tolerance=timedelta(days=1))"
166+
"tc = mpd.MinTimeDeltaGeneralizer(tc).generalize(tolerance=timedelta(days=1))"
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]
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},
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{
@@ -186,7 +186,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
189-
"filtered = traj_collection.filter('individual-local-identifier', '91916A')\n",
189+
"filtered = tc.filter('individual-local-identifier', '91916A')\n",
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"my_traj = filtered.trajectories[0].copy()\n",
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"my_traj.df.head()"
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]
@@ -375,7 +375,7 @@
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"outputs": [],
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"source": [
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"year_of_interest = 2010\n",
378-
"trajs_in_aoi = traj_collection.clip(area_of_interest)\n",
378+
"trajs_in_aoi = tc.clip(area_of_interest)\n",
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"relevant = [ traj for traj in trajs_in_aoi if traj.get_start_time().year <= year_of_interest and traj.get_end_time().year >= year_of_interest]\n",
380380
"print(\"Found {} arrivals\".format(len(relevant)))"
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]
@@ -407,7 +407,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
410-
"my_traj = traj_collection.get_trajectory('91761A')\n",
410+
"my_traj = tc.get_trajectory('91761A')\n",
411411
"segment = my_traj.get_segment_between(datetime(year_of_interest,1,1), datetime(year_of_interest,12,31))\n",
412412
"\n",
413413
"segment.hvplot(color='black', line_width=1.0) * plotted_area_of_interest "
@@ -453,7 +453,7 @@
453453
"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.8"
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"version": "3.10.10"
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}
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},
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"nbformat": 4,

‎3-tech-demos/ever-given.ipynb‎ renamed to ‎2-analysis-examples/ever-given.ipynb‎

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -88,7 +88,7 @@
8888
"metadata": {},
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"outputs": [],
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"source": [
91-
"trajs = mpd.TrajectoryCollection(gdf, 'ID')"
91+
"tc = mpd.TrajectoryCollection(gdf, 'ID')"
9292
]
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},
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{
@@ -97,7 +97,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
100-
"evergiven = trajs.get_trajectory(EVERID)\n",
100+
"evergiven = tc.get_trajectory(EVERID)\n",
101101
"evergiven.hvplot(line_width=7, frame_width=FSIZE, frame_height=FSIZE)"
102102
]
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},
@@ -107,7 +107,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
110-
"stop_pts = mpd.TrajectoryStopDetector(trajs).get_stop_points(min_duration=timedelta(hours=3), max_diameter=1000)"
110+
"stop_pts = mpd.TrajectoryStopDetector(tc).get_stop_points(min_duration=timedelta(hours=3), max_diameter=1000)"
111111
]
112112
},
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{
@@ -196,7 +196,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
199-
"version": "3.9.15"
199+
"version": "3.10.10"
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},
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"vscode": {
202202
"interpreter": {

‎2-analysis-examples/soccer-game.ipynb‎

Lines changed: 13 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,7 @@
11
{
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"cells": [
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{
4+
"attachments": {},
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"cell_type": "markdown",
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"metadata": {
67
"tags": []
@@ -48,6 +49,7 @@
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
@@ -93,6 +95,7 @@
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
@@ -172,13 +175,15 @@
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]
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},
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{
178+
"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
178182
"Finally, let's create trajectories:"
179183
]
180184
},
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{
186+
"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
@@ -193,9 +198,9 @@
193198
"source": [
194199
"%%time\n",
195200
"CRS = None\n",
196-
"traj_collection = mpd.TrajectoryCollection(df, 'player', x='x', y='y', crs=CRS)\n",
197-
"mpd.TemporalSplitter(traj_collection).split(mode=\"day\")\n",
198-
"print(f\"Finished creating {len(traj_collection)} trajectories\")"
201+
"tc = mpd.TrajectoryCollection(df, 'player', x='x', y='y', crs=CRS)\n",
202+
"mpd.TemporalSplitter(tc).split(mode=\"day\")\n",
203+
"print(f\"Finished creating {len(tc)} trajectories\")"
199204
]
200205
},
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{
@@ -214,10 +219,11 @@
214219
"metadata": {},
215220
"outputs": [],
216221
"source": [
217-
"plotted_pitch * traj_collection.filter('player_num', 20).hvplot(**hvplot_defaults)"
222+
"plotted_pitch * tc.filter('player_num', 20).hvplot(**hvplot_defaults)"
218223
]
219224
},
220225
{
226+
"attachments": {},
221227
"cell_type": "markdown",
222228
"metadata": {},
223229
"source": [
@@ -232,7 +238,7 @@
232238
"source": [
233239
"PLAY = 2\n",
234240
"title = f'Play {PLAY} {plays[PLAY]}'\n",
235-
"play_trajs = traj_collection.filter('play', plays[PLAY])\n",
241+
"play_trajs = tc.filter('play', plays[PLAY])\n",
236242
"play_trajs"
237243
]
238244
},
@@ -318,6 +324,7 @@
318324
]
319325
},
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{
327+
"attachments": {},
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"cell_type": "markdown",
322329
"metadata": {},
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"source": [
@@ -348,7 +355,7 @@
348355
"name": "python",
349356
"nbconvert_exporter": "python",
350357
"pygments_lexer": "ipython3",
351-
"version": "3.10.8"
358+
"version": "3.10.10"
352359
}
353360
},
354361
"nbformat": 4,

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