sander/rowsandall
Private
Public Access
1
0
Fork 0
Code Activity

last remaining coverage lines in dataprep

Browse Source
This commit is contained in:
Sander Roosendaal
2021-04-22 11:28:16 +02:00
parent b6d6ed7591
commit 34ae584d60
1 changed files with 4 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
rowers/dataprep.py
View File

@@ -2383,7 +2383,7 @@ def getrowdata_db(id=0, doclean=False, convertnewtons=True,
try: try:
if data['efficiency'].mean() == 0 and data['power'].mean() != 0: # pragma: no cover if data['efficiency'].mean() == 0 and data['power'].mean() != 0: # pragma: no cover
data = add_efficiency(id=id) data = add_efficiency(id=id)
except KeyError: except KeyError: # pragma: no cover
data = add_efficiency(id=id) data = add_efficiency(id=id)
if doclean: # pragma: no cover if doclean: # pragma: no cover
@@ -2414,7 +2414,7 @@ def getsmallrowdata_db(columns, ids=[], doclean=True,workstrokesonly=True,comput
#df = dd.read_parquet(f,columns=columns,engine='pyarrow') #df = dd.read_parquet(f,columns=columns,engine='pyarrow')
df = pd.read_parquet(f,columns=columns) df = pd.read_parquet(f,columns=columns)
data.append(df) data.append(df)
except OSError: except OSError: # pragma: no cover
rowdata, row = getrowdata(id=id) rowdata, row = getrowdata(id=id)
if rowdata and len(rowdata.df): if rowdata and len(rowdata.df):
datadf = dataprep(rowdata.df,id=id,bands=True,otwpower=True,barchart=True) datadf = dataprep(rowdata.df,id=id,bands=True,otwpower=True,barchart=True)
@@ -2461,7 +2461,7 @@ def getrowdata(id=0):
# check if valid ID exists (workout exists) # check if valid ID exists (workout exists)
try: try:
row = Workout.objects.get(id=id) row = Workout.objects.get(id=id)
except Workout.DoesNotExist: except Workout.DoesNotExist: # pragma: no cover
return rrdata(),None return rrdata(),None
f1 = row.csvfilename f1 = row.csvfilename
@@ -2785,7 +2785,7 @@ def dataprep(rowdatadf, id=0, bands=True, barchart=True, otwpower=True,
try: try:
drivespeed = drivelength / rowdatadf[' DriveTime (ms)'] * 1.0e3 drivespeed = drivelength / rowdatadf[' DriveTime (ms)'] * 1.0e3
except TypeError: except TypeError: # pragma: no cover
drivespeed = 0.0 * rowdatadf['TimeStamp (sec)'] drivespeed = 0.0 * rowdatadf['TimeStamp (sec)']
drivespeed = drivespeed.fillna(value=0) drivespeed = drivespeed.fillna(value=0)