def data_dump(_files, labels=["CANS", "ORCO", "TBEH"]):
outdict = [{}, {}, {}]
exp = labels
for idx, ex in enumerate(exp):
_file = ex + "_BodyXCentroids.csv"
df = pd.read_csv(_files + os.sep + _file,
delimiter=';',
usecols=[0],
skip_blank_lines=True,
header=0)
N = df.shape[0]
bit = pd.read_csv(_files + os.sep + _file,
delimiter=';',
skip_blank_lines=True,
header=0,
nrows=1)
nflies = len(bit.columns)
print("Found", nflies, "flies.")
parts = ["BodyX", "BodyY", "HeadX", "HeadY"]
for flies in range(nflies):
filearray = np.full((N, len(parts)), np.nan)
for idx, part in enumerate(parts):
_file = ex + "_" + part + "Centroids.csv"
df = pd.read_csv(_files + os.sep + _file,
delimiter=';',
usecols=[flies],
skip_blank_lines=True,
header=0)
filearray[:, idx] = np.array(df)[:, 0]
del df
fname = ex + "_{:03d}".format(flies + 1)
if os.name == 'nt':
outfold = "E:/Dennis/Google Drive/PhD Project/Archive/VERO/vero_elife_2016/"
else:
outfold = "/Users/degoldschmidt/Google Drive/PhD Project/Archive/VERO/vero_elife_2016/"
#fullname = _files+os.sep+"new_files"+os.sep+fname
fullname = outfold + fname
print("Saving data for:", fname)
print("Runtime:", strfdelta(now() - startdt, "%H:%M:%S"))
np.savetxt(fullname + ".csv",
filearray,
fmt='%.3f',
delimiter='\t',
newline='\n',
header='body_x\tbody_y\thead_x\thead_y')
if delta < 0:
this_file = self.data[sortkeys[ind]]["filename"]
that_file = self.data[sortkeys[ind + 1]]["filename"]
messagebox.showwarning(
"Warning: Overlap detected",
base(this_file) + " and " + base(that_file) +
" seem to overlap. Glued data will be invalid.")
self.buffer.append(0)
else:
self.buffer.append(secs(end) - secs(start))
self.refresh_fig(np.array([secs(start),
secs(end)]),
np.array([1, 1]),
'r-',
resize=False)
else:
self.clear_fig()
def main(argv):
app = App()
app.root.mainloop()
if __name__ == "__main__":
#_apppath = '/Users/degoldschmidt/workspace/ribeirolab-codeconversion/python/flyPAD/'
startdt = now()
#os.chdir(_apppath)
main(sys.argv[1:])
print("Done. Runtime:", strfdelta(now() - startdt, "%H:%M:%S"))