Read c3D file using EZC3D library¶

Marcos Duarte
Laboratory of Biomechanics and Motor Control
Federal University of ABC, Brazil

EZC3D is an easy to use reader, modifier and writer for C3D format files.
https://github.com/pyomeca/ezc3d

In [1]:

import numpy as np
import pandas as pd
#%matplotlib notebook
%matplotlib widget
import matplotlib as mpl
import matplotlib.pyplot as plt
import sys, os
import ezc3d

sys.path.insert(1, r'./../functions')
from dfmlevel import dfmlevel
from read_c3d import read_c3d

In [ ]:

In [2]:

path2 = '/mnt/A/BMClab/Projects/FapespRunAge/Data/Cadence/s20/'
fname = 'run100c.c3d'
fname = os.path.join(path2, fname)

In [3]:

an, pt = read_c3d(fname, analog='all', point='all', short_label=True)

In [4]:

an

Out[4]:

	F1X	F1Y	F1Z	M1X	M1Y	M1Z	F2X	F2Y	F2Z	M2X	...	Sensor 9EMG	Sensor 9IM ACC Pitch	Sensor 9IM ACC Roll	Sensor 9IM ACC Yaw	Sensor 9IM GYR Pitch	Sensor 9IM GYR Roll	Sensor 9IM GYR Yaw	Sensor 9IM MAG Pitch	Sensor 9IM MAG Roll	Sensor 9IM MAG Yaw
Time
0.000000	-0.002441	0.001221	0.001831	-0.001373	0.000153	0.004730	-0.160675	-0.284424	-1.747894	-2.335968	...	-0.000101	1.189453	-3.801758	0.761230	239.817078	110.853661	-47.134148	17.125525	-145.024765	-359.325287
0.002222	-0.000000	0.000763	-0.002899	-0.006256	-0.002136	0.002899	-0.153503	-0.305176	-1.794128	-2.371979	...	-0.000079	1.189453	-3.801758	0.761230	239.817078	110.853661	-47.134148	17.125525	-145.024765	-359.325287
0.004444	-0.004730	-0.003815	0.003967	0.004272	-0.000153	0.009308	-0.237579	-0.264740	-1.803741	-2.336426	...	0.000009	1.409999	-4.366765	0.746142	253.246964	121.757927	-38.114075	16.998919	-144.840210	-360.182739
0.006667	0.003662	0.002594	-0.002136	-0.005646	-0.000763	-0.003662	-0.255737	-0.204773	-1.804047	-2.355499	...	0.000057	1.520271	-4.649269	0.738598	259.961884	127.210060	-33.604038	16.935616	-144.747940	-360.611450
0.008889	-0.002747	-0.002441	0.005341	0.004578	0.005646	0.007477	-0.222321	-0.244141	-1.825104	-2.377777	...	0.000047	1.524902	-4.661133	0.738281	260.243896	127.439026	-33.414635	16.932957	-144.744064	-360.629456
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
29.928889	0.000610	0.001831	0.001068	-0.003052	0.002594	0.000916	0.266876	-0.237122	-1.859894	-2.814178	...	0.000985	-0.333984	-3.725586	1.123047	-50.365856	217.682938	33.475609	18.022522	-130.952713	-372.479218
29.931111	-0.001068	0.000153	-0.000610	-0.003662	-0.000000	0.004578	0.295715	-0.170898	-1.858826	-2.845459	...	-0.000204	1.894513	-5.409503	0.189099	158.874084	251.602448	66.935623	17.918554	-131.036682	-371.474365
29.933333	0.001984	0.004730	-0.006714	-0.007935	-0.003510	-0.004883	0.305481	-0.218201	-1.858368	-2.812653	...	0.000778	2.918945	-6.183594	-0.240234	255.060974	267.195129	82.317078	17.870762	-131.075272	-371.012421
29.935556	-0.003204	0.001221	0.000763	0.000916	0.001068	0.003967	0.343933	-0.170288	-1.893311	-2.860107	...	0.000805	2.918945	-6.183594	-0.240234	255.060974	267.195129	82.317078	17.870762	-131.075272	-371.012421
29.937778	-0.001221	0.003204	-0.000458	-0.002747	0.001678	0.001984	0.312500	-0.135345	-1.875458	-2.801056	...	-0.001439	2.918945	-6.183594	-0.240234	255.060974	267.195129	82.317078	17.870762	-131.075272	-371.012421

13473 rows × 130 columns

In [5]:

pt

Out[5]:

Marker	RACR			LACR			C7			CLAV	...	LMMAL	LCAL			LTOE			LMT5
Coordinate	X	Y	Z	X	Y	Z	X	Y	Z	X	...	Z	X	Y	Z	X	Y	Z	X	Y	Z
XYZ	X1	Y1	Z1	X2	Y2	Z2	X3	Y3	Z3	X4	...	Z51	X52	Y52	Z52	X53	Y53	Z53	X54	Y54	Z54
Time
0.000000	2213.544434	1420.947998	1571.324829	2194.909180	1416.853516	1215.808472	2195.543457	1465.110840	1394.859375	2328.635498	...	NaN	2138.386230	68.125816	1379.954468	2355.536621	58.527267	1366.957153	2319.052002	44.644505	1313.224976
0.006667	2212.271729	1419.337158	1570.394531	2197.858887	1413.389404	1214.322266	2195.075928	1462.475098	1393.838501	2329.151367	...	NaN	2118.484619	68.607948	1379.212769	2335.351318	58.051247	1366.094116	2298.880127	44.152187	1312.532349
0.013333	2210.282471	1418.303955	1569.193481	2201.142578	1410.884766	1213.318604	2194.371338	1460.500854	1392.986816	2328.939941	...	NaN	2098.407471	69.392067	1378.596313	2314.714111	57.271126	1365.204224	2278.539551	43.632252	1311.776001
0.020000	2207.747803	1417.928345	1568.012329	2204.202637	1409.422607	1212.401733	2193.368896	1459.449097	1392.110962	2327.990234	...	NaN	2078.121338	70.368813	1378.016479	2294.337158	57.032829	1364.186890	2258.052002	43.281223	1311.087036
0.026667	2204.928955	1418.094360	1566.952759	2207.516357	1408.732910	1211.450562	2192.766113	1458.669678	1391.343506	2326.735352	...	NaN	2057.793945	71.495544	1377.419800	2273.762207	56.897720	1363.448120	2237.523193	42.831345	1310.343018
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
29.906667	2409.503906	1409.329224	1616.354370	2437.631348	1428.756226	1253.974243	2395.374512	1458.581787	1432.489990	2531.663818	...	NaN	2048.218018	541.099243	1422.988037	1951.526611	352.146423	1385.853271	1942.871216	400.749084	1342.777222
29.913333	2410.107178	1404.970459	1618.451416	2436.678223	1425.311279	1254.532104	2396.526611	1456.373657	1432.407837	2533.387451	...	NaN	2061.593750	546.014771	1421.315430	1968.394287	354.885895	1387.186768	1960.520386	401.953033	1342.269287
29.920000	2411.272217	1401.923462	1618.552368	2435.437988	1422.631104	1255.395752	2397.616699	1454.628418	1432.525391	2533.692627	...	NaN	2074.715820	549.933594	1419.789429	1985.499146	355.914154	1389.160400	1978.374634	401.322357	1342.066528
29.926667	2412.643066	1400.000366	1618.078979	2433.286133	1420.706665	1256.044922	2398.005615	1453.223389	1432.965454	2533.084961	...	NaN	2087.037354	552.726379	1416.801147	2003.463379	355.632355	1391.797119	1996.600342	399.063965	1342.302002
29.933333	2413.520020	1398.615845	1617.448486	2430.549072	1419.565186	1256.604492	2397.479736	1452.064697	1433.602539	2532.042480	...	NaN	2098.605225	554.406067	1413.652832	2021.544800	354.294006	1394.230713	2014.322510	395.487213	1343.530518

4491 rows × 162 columns

In [ ]: