more pep

rowers/interactiveplots.py

@@ -1543,12 +1543,12 @@ def interactive_forcecurve(theworkouts, workstrokesonly=True, plottype='scatter'
                               )
     #thesliders.sizing_mode = 'fixed'
 
-    layout = layoutrow([thesliders,
+    mylayout = layoutrow([thesliders,
                         plot])
 
-    layout.sizing_mode = 'stretch_both'
+    mylayout.sizing_mode = 'stretch_both'
 
-    script, div = components(layout)
+    script, div = components(mylayout)
     js_resources = INLINE.render_js()
     css_resources = INLINE.render_css()
 
@@ -2036,11 +2036,11 @@ def performance_chart(user, startdate=None, enddate=None, kfitness=42, kfatigue=
     plot.add_tools(linked_crosshair)
     plot2.add_tools(linked_crosshair)
 
-    layout = layoutcolumn([plot, plot2])
+    mylayout = layoutcolumn([plot, plot2])
-    layout.sizing_mode = 'stretch_both'
+    mylayout.sizing_mode = 'stretch_both'
 
     try:
-        script, div = components(layout)
+        script, div = components(mylayout)
     except Exception as e:  # pragma: no cover
         df.dropna(inplace=True, axis=0, how='any')
         return (
@@ -2190,10 +2190,10 @@ def interactive_histoall(theworkouts, histoparam, includereststrokes,
     annotation.js_on_change('value', callback)
     callback.args["annotation"] = annotation
 
-    layout = layoutcolumn([annotation, plot])
+    mylayout = layoutcolumn([annotation, plot])
 
     try:
-        script, div = components(layout)
+        script, div = components(mylayout)
     except ValueError:  # pragma: no cover
         script = ''
         div = ''
@@ -3101,8 +3101,6 @@ def leaflet_chart_video(lat, lon, name=""):
     lonmean = lon.mean()
     latbegin = lat[lat.index[0]]
     longbegin = lon[lon.index[0]]
-    latend = lat[lat.index[-1]]
-    longend = lon[lon.index[-1]]
 
     coordinates = zip(lat, lon)
 
@@ -3201,9 +3199,7 @@ def leaflet_chart_video(lat, lon, name=""):
         latmean=latmean,
         lonmean=lonmean,
         latbegin=latbegin,
-        latend=latend,
         longbegin=longbegin,
-        longend=longend,
         scoordinates=scoordinates,
     )
 
@@ -3350,10 +3346,11 @@ def interactive_agegroupcpchart(age, normalized=False):
             mhduration.append(60.*duration)
             mhpower.append(np.nan)
 
-    def fitfunc(pars, x): return pars[0] / \
+    def fitfunc(pars, x):
-        (1+(x/pars[2])) + pars[1]/(1+(x/pars[3]))
+        return pars[0] / (1+(x/pars[2])) + pars[1]/(1+(x/pars[3]))
 
-    def errfunc(pars, x, y): return fitfunc(pars, x)-y
+    def errfunc(pars, x, y):
+        return fitfunc(pars, x)-y
 
     #    p0 = [500,350,10,8000]
 
@@ -3444,7 +3441,6 @@ def interactive_agegroupcpchart(age, normalized=False):
     )
 
     x_axis_type = 'log'
-    y_axis_type = 'linear'
 
     TOOLS = 'save,pan,box_zoom,wheel_zoom,reset,tap,hover,crosshair'
 
@@ -3500,7 +3496,6 @@ def interactive_otwcpchart(powerdf, promember=0, rowername="", r=None, cpfit='da
         TOOLS = 'pan,box_zoom,wheel_zoom,reset,tap,hover,crosshair'
 
     x_axis_type = 'log'
-    y_axis_type = 'linear'
 
     deltas = powerdf2['Delta'].apply(lambda x: timedeltaconv(x))
     powerdf2['ftime'] = deltas.apply(lambda x: strfdelta(x))
@@ -3524,8 +3519,9 @@ def interactive_otwcpchart(powerdf, promember=0, rowername="", r=None, cpfit='da
             p1 = [r.ep0, r.ep1, r.ep2, r.ep3]
             ratio = r.ecpratio
 
-        def fitfunc(pars, x): return abs(
+        def fitfunc(pars, x):
-            pars[0])/(1+(x/abs(pars[2]))) + abs(pars[1])/(1+(x/abs(pars[3])))
+            return abs(pars[0])/(1+(x/abs(pars[2]))) + abs(pars[1])/(1+(x/abs(pars[3])))
+
         fitpower = fitfunc(p1, fitt)
 
     message = ""
@@ -3534,8 +3530,6 @@ def interactive_otwcpchart(powerdf, promember=0, rowername="", r=None, cpfit='da
 
     deltas = fitt.apply(lambda x: timedeltaconv(x))
     ftime = niceformat(deltas)
-    workouts = powerdf2['workout']
-    urls = powerdf2['url']
 
     # add world class
     wcpower = pd.Series(wcpower, dtype='float')
@@ -3543,10 +3537,12 @@ def interactive_otwcpchart(powerdf, promember=0, rowername="", r=None, cpfit='da
 
     # fitting WC data to three parameter CP model
     if len(wcdurations) >= 4:  # pragma: no cover
-        def fitfunc(pars, x): return pars[0] / \
+        def fitfunc(pars, x):
-            (1+(x/pars[2])) + pars[1]/(1+(x/pars[3]))
+            return pars[0] / (1+(x/pars[2])) + pars[1]/(1+(x/pars[3]))
+
+        def errfunc(pars, x, y):
+            return fitfunc(pars, x)-y
 
-        def errfunc(pars, x, y): return fitfunc(pars, x)-y
         p1wc, success = optimize.leastsq(errfunc, p0[:],
                                          args=(wcdurations, wcpower))
     else:
@@ -3582,13 +3578,6 @@ def interactive_otwcpchart(powerdf, promember=0, rowername="", r=None, cpfit='da
         )
     )
 
-    sourceannot = ColumnDataSource(
-        data=dict(
-            workout=workouts,
-            url=urls,
-        )
-    )
-
     # making the plot
     plot = Figure(tools=TOOLS, x_axis_type=x_axis_type,
                   plot_width=900,
@@ -3597,12 +3586,8 @@ def interactive_otwcpchart(powerdf, promember=0, rowername="", r=None, cpfit='da
 
     # add watermark
     watermarkurl = "/static/img/logo7.png"
-    watermarksource = ColumnDataSource(dict(
-        url=[watermarkurl],))
-
     watermarkrange = Range1d(start=0, end=1)
     watermarkalpha = 0.6
-    watermarkx = 0.99
     watermarky = 0.01
     watermarkw = 184
     watermarkh = 35
@@ -3705,10 +3690,12 @@ def interactive_agegroup_plot(df, distance=2000, duration=None,
 #    poly_vals = np.polyval(poly_coefficients,age2)
 #    poly_vals = 0.5*(np.abs(poly_vals)+poly_vals)
 
-    def fitfunc(pars, x): return np.abs(pars[0])*(1-x/max(120, pars[1]))-np.abs(
+    def fitfunc(pars, x):
-        pars[2])*np.exp(-x/np.abs(pars[3]))+np.abs(pars[4])*(np.sin(np.pi*x/max(50, pars[5])))
+        return np.abs(pars[0])*(1-x/max(120, pars[1])) \
+            - np.abs(pars[2])*np.exp(-x/np.abs(pars[3]))+np.abs(pars[4])*(np.sin(np.pi*x/max(50, pars[5])))
 
-    def errfunc(pars, x, y): return fitfunc(pars, x)-y
+    def errfunc(pars, x, y):
+        return fitfunc(pars, x)-y
 
     p0age = [700, 120, 700, 10, 100, 100]
 
@@ -3722,8 +3709,6 @@ def interactive_agegroup_plot(df, distance=2000, duration=None,
         data=dict(
             age=age,
             power=power,
-            #age2 = age2,
-            #expo_vals = expo_vals,
             season=season,
             name=name,
         )
@@ -3774,7 +3759,6 @@ def interactive_cpchart(rower, thedistances, thesecs, theavpower,
         TOOLS = 'pan,box_zoom,wheel_zoom,reset,tap,hover,crosshair'
 
     x_axis_type = 'log'
-    y_axis_type = 'linear'
 
     thesecs = pd.Series(thesecs)
 
@@ -3828,10 +3812,11 @@ def interactive_cpchart(rower, thedistances, thesecs, theavpower,
         )
     )
 
-    def fitfunc(pars, x): return pars[0] / \
+    def fitfunc(pars, x):
-        (1+(x/pars[2])) + pars[1]/(1+(x/pars[3]))
+        return pars[0] / (1+(x/pars[2])) + pars[1]/(1+(x/pars[3]))
 
-    def errfunc(pars, x, y): return fitfunc(pars, x)-y
+    def errfunc(pars, x, y):
+        return fitfunc(pars, x)-y
 
     # p0 = [500,350,10,8000]
     wcpower = pd.Series(wcpower, dtype='float')
@@ -3863,28 +3848,19 @@ def interactive_cpchart(rower, thedistances, thesecs, theavpower,
 
     # Get stayer score
     if success == 1:  # pragma: no cover
-        power1min = fitfunc(p1, 60.)
         power4min = fitfunc(p1, 240.)
-        power6min = fitfunc(p1, 360.)
-        power30min = fitfunc(p1, 1800.)
         power1h = fitfunc(p1, 3600.)
         power10sec = fitfunc(p1, 10.)
         r10sec4min = 100.*power10sec/power4min
         r1h4min = 100.*power1h/power4min
-        r1min6min = 100.*power1min/power6min
-        r30min6min = 100.*power30min/power6min
 
         combined = r1h4min-0.2*(r10sec4min-100)
-        combined2 = r30min6min-1.5*(r1min6min-100)
 
         dataset = pd.read_csv('static/stats/combined_set.csv')
-        dataset2 = pd.read_csv('static/stats/combined_set6min.csv')
 
         stayerscore = int(percentileofscore(dataset['combined'], combined))
-        stayerscore2 = int(percentileofscore(dataset2['combined'], combined2))
     else:
         stayerscore = None
-        stayerscore2 = None
 
     fitt = pd.Series(10**(4*np.arange(100)/100.))
 
@@ -3938,12 +3914,8 @@ def interactive_cpchart(rower, thedistances, thesecs, theavpower,
 
     # add watermark
     watermarkurl = "/static/img/logo7.png"
-    watermarksource = ColumnDataSource(dict(
-        url=[watermarkurl],))
-
     watermarkrange = Range1d(start=0, end=1)
     watermarkalpha = 0.6
-    watermarkx = 0.99
     watermarky = 0.01
     watermarkw = 184
     watermarkh = 35
@@ -4069,7 +4041,6 @@ def interactive_windchart(id=0, promember=0):
     # get user
     # u = User.objects.get(id=row.user.id)
     r = row.user
-    u = r.user
 
     rr = rrower(hrmax=r.max, hrut2=r.ut2,
                 hrut1=r.ut1, hrat=r.at,
@@ -4158,7 +4129,6 @@ def interactive_streamchart(id=0, promember=0):
     # get user
     # u = User.objects.get(id=row.user.id)
     r = row.user
-    u = r.user
 
     rr = rrower(hrmax=r.max, hrut2=r.ut2,
                 hrut1=r.ut1, hrat=r.at,
@@ -4223,12 +4193,12 @@ def interactive_chart(id=0, promember=0, intervaldata={}):
         return "", "No Valid Data Available"
 
     try:
-        spm = datadf['spm']
+        _ = datadf['spm']
     except KeyError:  # pragma: no cover
         datadf['spm'] = 0
 
     try:
-        pace = datadf['pace']
+        _ = datadf['pace']
     except KeyError:  # pragma: no cover
         datadf['pace'] = 0
 
@@ -4244,16 +4214,10 @@ def interactive_chart(id=0, promember=0, intervaldata={}):
 
     # add watermark
     watermarkurl = "/static/img/logo7.png"
-    watermarksource = ColumnDataSource(dict(
-        url=[watermarkurl],))
-
     watermarkrange = Range1d(start=0, end=1)
     watermarkalpha = 0.6
-    watermarkx = 0.99
-    watermarky = 0.01
     watermarkw = 184
     watermarkh = 35
-    watermarkanchor = 'bottom_right'
     plot.extra_y_ranges = {"watermark": watermarkrange}
     plot.extra_x_ranges = {"watermark": watermarkrange}
 
@@ -4476,7 +4440,7 @@ def interactive_multiflex(datadf, xparam, yparam, groupby, extratitle='',
     else:
         groupname = axlabels[groupby]
 
-    if title == None:
+    if title is None:
         title = '{y} vs {x} grouped by {gr}'.format(
             x=xparamname,
             y=yparamname,
@@ -4555,9 +4519,6 @@ def interactive_multiflex(datadf, xparam, yparam, groupby, extratitle='',
 
     # add watermark
     watermarkurl = "/static/img/logo7.png"
-    watermarksource = ColumnDataSource(dict(
-        url=[watermarkurl],))
-
     watermarkrange = Range1d(start=0, end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -4683,12 +4644,12 @@ def interactive_cum_flex_chart2(theworkouts, promember=0,
                                          workstrokesonly=workstrokesonly)
 
     try:
-        tests = datadf[yparam2]
+        _ = datadf[yparam2]
     except KeyError:  # pragma: no cover
         yparam2 = 'None'
 
     try:
-        tests = datadf[yparam1]
+        _ = datadf[yparam1]
     except KeyError:
         yparam1 = 'None'
 
@@ -4696,18 +4657,14 @@ def interactive_cum_flex_chart2(theworkouts, promember=0,
     datadf.dropna(axis=0, how='any', inplace=True)
 
     # test if we have drive energy
-    nowork = 1
     try:  # pragma: no cover
-        test = datadf['driveenergy'].mean()
+        _ = datadf['driveenergy'].mean()
-        nowork = 0
     except KeyError:  # pragma: no cover
         datadf['driveenergy'] = 500.
 
     # test if we have power
-    nopower = 1
     try:  # pragma: no cover
-        test = datadf['power'].mean()
+        _ = datadf['power'].mean()
-        nopower = 0
     except KeyError:  # pragma: no cover
         datadf['power'] = 50.
 
@@ -4745,21 +4702,12 @@ def interactive_cum_flex_chart2(theworkouts, promember=0,
     else:  # pragma: no cover
         datadf['y2'] = datadf['y1']
 
-    if xparam == 'distance':  # pragma: no cover
-        xaxmax = datadf['x1'].max()
-        xaxmin = datadf['x1'].min()
-    else:
-        xaxmax = yaxmaxima[xparam]
-        xaxmin = yaxminima[xparam]
-
     # average values
     x1mean = datadf['x1'].mean()
 
     y1mean = datadf['y1'].mean()
     y2mean = datadf['y2'].mean()
 
-    xvals = pd.Series(xaxmin+np.arange(100)*(xaxmax-xaxmin)/100.)
-
     x_axis_type = 'linear'
     y_axis_type = 'linear'
     if xparam == 'time':
@@ -4797,9 +4745,6 @@ def interactive_cum_flex_chart2(theworkouts, promember=0,
 
     # add watermark
     watermarkurl = "/static/img/logo7.png"
-    watermarksource = ColumnDataSource(dict(
-        url=[watermarkurl],))
-
     watermarkrange = Range1d(start=0, end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -5041,13 +4986,6 @@ def interactive_cum_flex_chart2(theworkouts, promember=0,
     slider_dist_max.js_on_change('value', callback)
     callback.args["maxdist"] = slider_dist_max
 
-    #slider_spm_min.sizing_mode = 'fixed'
-    #slider_spm_max.sizing_mode = 'fixed'
-    #slider_work_min.sizing_mode = 'fixed'
-    #slider_work_max.sizing_mode = 'fixed'
-    #slider_dist_min.sizing_mode = 'fixed'
-    #slider_dist_max.sizing_mode = 'fixed'
-
     thesliders = layoutcolumn([slider_spm_min,
                                slider_spm_max,
                                slider_dist_min,
@@ -5057,14 +4995,11 @@ def interactive_cum_flex_chart2(theworkouts, promember=0,
                                ],
                               )
 
-    #thesliders.sizing_mode = 'fixed'
+    mylayout = layoutrow([thesliders, plot])
 
-    layout = layoutrow([thesliders,
+    mylayout.sizing_mode = 'stretch_both'
-                        plot])
 
-    layout.sizing_mode = 'stretch_both'
+    script, div = components(mylayout)
-
-    script, div = components(layout)
     js_resources = INLINE.render_js()
     css_resources = INLINE.render_css()
 
@@ -5104,7 +5039,6 @@ def interactive_flexchart_stacked(id, r, xparam='time',
                                               doclean=False,
                                               workstrokesonly=False)
 
-    row = Workout.objects.get(id=id)
     if rowdata.empty:
         return "", "No valid data", '', '', comment
 
@@ -5115,34 +5049,29 @@ def interactive_flexchart_stacked(id, r, xparam='time',
 
     try:
         rowdata['x1'] = rowdata.loc[:, xparam]
-        rowmin = rowdata[xparam].min()
     except KeyError:  # pragma: no cover
         rowdata['x1'] = 0*rowdata.loc[:, 'time']
 
     try:
         rowdata['y1'] = rowdata.loc[:, yparam1]
-        rowmin = rowdata[yparam1].min()
     except KeyError:  # pragma: no cover
         rowdata['y1'] = 0*rowdata.loc[:, 'time']
         rowdata[yparam1] = rowdata['y1']
 
     try:  # pragma: no cover
         rowdata['y2'] = rowdata.loc[:, yparam2]
-        rowmin = rowdata[yparam2].min()
     except KeyError:
         rowdata['y2'] = 0*rowdata.loc[:, 'time']
         rowdata[yparam2] = rowdata['y2']
 
     try:
         rowdata['y3'] = rowdata.loc[:, yparam3]
-        rowmin = rowdata[yparam3].min()
     except KeyError:  # pragma: no cover
         rowdata['y3'] = 0*rowdata.loc[:, 'time']
         rowdata[yparam3] = rowdata['y3']
 
     try:
         rowdata['y4'] = rowdata.loc[:, yparam4]
-        rowmin = rowdata[yparam4].min()
     except KeyError:  # pragma: no cover
         rowdata['y4'] = 0*rowdata.loc[:, 'time']
         rowdata[yparam4] = rowdata['y4']
@@ -5418,16 +5347,16 @@ def interactive_flexchart_stacked(id, r, xparam='time',
     plot3.line('x1', 'y3', source=source, color=palette2[0])
     plot4.line('x1', 'y4', source=source, color=palette2[2])
 
-    layout = layoutcolumn([
+    mylayout = layoutcolumn([
         plot1,
         plot2,
         plot3,
         plot4,
     ])
 
-    layout.sizing_mode = 'stretch_both'
+    mylayout.sizing_mode = 'stretch_both'
 
-    script, div = components(layout)
+    script, div = components(mylayout)
     js_resources = INLINE.render_js()
     css_resources = INLINE.render_css()
 
@@ -5443,9 +5372,6 @@ def interactive_flex_chart2(id, r, promember=0,
                             mode='rower'):
 
     watermarkurl = "/static/img/logo7.png"
-    watermarksource = ColumnDataSource(dict(
-        url=[watermarkurl],))
-
     watermarkrange = Range1d(start=0, end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -5454,7 +5380,6 @@ def interactive_flex_chart2(id, r, promember=0,
     watermarkh = 35
     watermarkanchor = 'bottom_right'
 
-    #rowdata,row = dataprep.getrowdata_db(id=id)
     columns = [xparam, yparam1, yparam2,
                'ftime', 'distance', 'fpace',
                'power', 'hr', 'spm', 'driveenergy',
@@ -5484,28 +5409,24 @@ def interactive_flex_chart2(id, r, promember=0,
                                               workstrokesonly=False)
         workstrokesonly = False
     try:
-        tests = rowdata[yparam2]
+        _ = rowdata[yparam2]
     except KeyError:  # pragma: no cover
         yparam2 = 'None'
 
     try:
-        tests = rowdata[yparam1]
+        _ = rowdata[yparam1]
     except KeyError:  # pragma: no cover
         yparam1 = 'None'
 
     # test if we have drive energy
-    nowork = 1
     try:
-        test = rowdata['driveenergy'].mean()
+        _ = rowdata['driveenergy'].mean()
-        nowork = 0
     except KeyError:
         rowdata['driveenergy'] = 500.
 
     # test if we have power
-    nopower = 1
     try:
-        test = rowdata['power'].mean()
+        _ = rowdata['power'].mean()
-        nopower = 0
     except KeyError:
         rowdata['power'] = 50.
 
@@ -5516,9 +5437,7 @@ def interactive_flex_chart2(id, r, promember=0,
     if rowdata.empty:
         return "", "No valid data", '', '', workstrokesonly
 
-    workoutstateswork = [1, 4, 5, 8, 9, 6, 7]
     workoutstatesrest = [3]
-    workoutstatetransition = [0, 2, 10, 11, 12, 13]
 
     if workstrokesonly:  # pragma: no cover
         try:
@@ -5533,13 +5452,11 @@ def interactive_flex_chart2(id, r, promember=0,
 
     try:
         rowdata['x1'] = rowdata.loc[:, xparam]
-        rowmin = rowdata[xparam].min()
     except KeyError:  # pragma: no cover
         rowdata['x1'] = 0*rowdata.loc[:, 'time']
 
     try:
         rowdata['y1'] = rowdata.loc[:, yparam1]
-        rowmin = rowdata[yparam1].min()
     except KeyError:  # pragma: no cover
         rowdata['y1'] = 0*rowdata.loc[:, 'time']
         rowdata[yparam1] = rowdata['y1']
@@ -5547,7 +5464,6 @@ def interactive_flex_chart2(id, r, promember=0,
     if yparam2 != 'None':
         try:
             rowdata['y2'] = rowdata.loc[:, yparam2]
-            rowmin = rowdata[yparam2].min()
         except KeyError:  # pragma: no cover
             rowdata['y2'] = 0*rowdata.loc[:, 'time']
             rowdata[yparam2] = rowdata['y2']
@@ -5639,13 +5555,9 @@ def interactive_flex_chart2(id, r, promember=0,
                   toolbar_sticky=False, plot_width=800, plot_height=600,
                   )
     plot.sizing_mode = 'stretch_both'
-    #plot.width_policy = 'max'
 
     # add watermark
     watermarkurl = "/static/img/logo7.png"
-    watermarksource = ColumnDataSource(dict(
-        url=[watermarkurl],))
-
     watermarkrange = Range1d(start=0, end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -6005,14 +5917,6 @@ def interactive_flex_chart2(id, r, promember=0,
     slider_dist_max.js_on_change('value', callback)
     callback.args["maxdist"] = slider_dist_max
 
-    #annotation.sizing_mode = 'fixed'
-    #slider_spm_min.sizing_mode = 'fixed'
-    #slider_spm_max.sizing_mode = 'fixed'
-    #slider_work_min.sizing_mode = 'fixed'
-    #slider_work_max.sizing_mode = 'fixed'
-    #slider_dist_min.sizing_mode = 'fixed'
-    #slider_dist_max.sizing_mode = 'fixed'
-
     thesliders = layoutcolumn([
         annotation,
         slider_spm_min,
@@ -6023,15 +5927,12 @@ def interactive_flex_chart2(id, r, promember=0,
         slider_work_max,
     ])
 
-    #thesliders.sizing_mode = 'fixed'
+    mylayout = layoutrow([thesliders, plot])
-
-    layout = layoutrow([thesliders,
-                        plot])
 
     #    layout.sizing_mode = 'stretch_both'
-    layout.sizing_mode = 'stretch_both'
+    mylayout.sizing_mode = 'stretch_both'
 
-    script, div = components(layout)
+    script, div = components(mylayout)
     js_resources = INLINE.render_js()
     css_resources = INLINE.render_css()
 
@@ -6074,9 +5975,9 @@ def thumbnails_set(r, id, favorites):
     #        except KeyError:
     #            pass
 
-    l = len(rowdata)
+    lengte = len(rowdata)
     maxlength = 50
-    if l > maxlength:
+    if lengte > maxlength:
         try:
             bins = np.linspace(rowdata['time'].min(),
                                rowdata['time'].max(), maxlength)
@@ -6086,7 +5987,6 @@ def thumbnails_set(r, id, favorites):
             pass
 
     for f in favorites:
-        workstrokesonly = not f.reststrokes
         script, div = thumbnail_flex_chart(
             rowdata,
             id=id,
@@ -6112,12 +6012,12 @@ def thumbnail_flex_chart(rowdata, id=0, promember=0,
                          workstrokesonly=False):
 
     try:
-        tests = rowdata[yparam2]
+        _ = rowdata[yparam2]
     except KeyError:
         yparam2 = 'None'
 
     try:
-        tests = rowdata[yparam1]
+        _ = rowdata[yparam1]
     except KeyError:
         yparam1 = 'None'
 
@@ -6161,7 +6061,6 @@ def thumbnail_flex_chart(rowdata, id=0, promember=0,
 
     if yparam1 == 'pace':  # pragma: no cover
         y_axis_type = 'datetime'
-        y1mean = rowdata.loc[:, 'pace'].mean()
 
     rowdata['xname'] = axlabels[xparam]
     try:
@@ -6178,7 +6077,6 @@ def thumbnail_flex_chart(rowdata, id=0, promember=0,
         rowdata
     )
 
-    sizing_mode = 'fixed'  # 'stretch_both' also looks nice with this example
     plot = Figure(x_axis_type=x_axis_type, y_axis_type=y_axis_type,
                   plot_width=200, plot_height=150,
                   )
@@ -6188,7 +6086,6 @@ def thumbnail_flex_chart(rowdata, id=0, promember=0,
     plot.sizing_mode = 'fixed'
     plot.toolbar.logo = None
     plot.toolbar_location = None
-    #plot.yaxis.visible = False
     plot.xaxis.axis_label_text_font_size = "7pt"
     plot.yaxis.axis_label_text_font_size = "7pt"
     plot.xaxis.major_label_text_font_size = "7pt"
@@ -6297,12 +6194,6 @@ def interactive_multiple_compare_chart(ids, xparam, yparam, plottype='line',
         except:
             return ['', '<p>A chart data error occurred</p>', '', 'A chart data error occurred']
 
-    yparamname = axlabels[yparam]
-
-    #datadf = datadf[datadf[yparam] > 0]
-
-    #datadf = datadf[datadf[xparam] > 0]
-
     # check if dataframe not empty
     if datadf.empty:  # pragma: no cover
         return ['', '<p>No non-zero data in selection</p>', '', 'No non-zero data in selection']
@@ -6350,11 +6241,6 @@ def interactive_multiple_compare_chart(ids, xparam, yparam, plottype='line',
     if xparam == 'time':
         x_axis_type = 'datetime'
 
-    if xparam != 'time':
-        xvals = xaxmin+np.arange(100)*(xaxmax-xaxmin)/100.
-    else:
-        xvals = np.arange(100)
-
     plot = Figure(x_axis_type=x_axis_type, y_axis_type=y_axis_type,
                   tools=TOOLS,
                   toolbar_location="above",
@@ -6363,16 +6249,10 @@ def interactive_multiple_compare_chart(ids, xparam, yparam, plottype='line',
 
     # add watermark
     watermarkurl = "/static/img/logo7.png"
-    watermarksource = ColumnDataSource(dict(
-        url=[watermarkurl],))
-
     watermarkrange = Range1d(start=0, end=1)
     watermarkalpha = 0.6
-    watermarkx = 0.99
-    watermarky = 0.01
     watermarkw = 184
     watermarkh = 35
-    watermarkanchor = 'bottom_right'
     plot.extra_y_ranges = {"watermark": watermarkrange}
     plot.extra_x_ranges = {"watermark": watermarkrange}
     plot.sizing_mode = 'stretch_both'
@@ -6475,7 +6355,7 @@ def interactive_multiple_compare_chart(ids, xparam, yparam, plottype='line',
             try:
                 legend_label = labeldict[id]
             except KeyError:  # pragma: no cover
-                legend = str(id)
+                legend_label = str(id)
         else:  # pragma: no cover
             legend_label = str(id)
 
@@ -6549,9 +6429,6 @@ def interactive_otw_advanced_pace_chart(id=0, promember=0):
 
     # add watermark
     watermarkurl = "/static/img/logo7.png"
-    watermarksource = ColumnDataSource(dict(
-        url=[watermarkurl],))
-
     watermarkrange = Range1d(start=0, end=1)
     watermarkalpha = 0.6
     watermarkx = 0.99
@@ -6625,10 +6502,6 @@ def interactive_otw_advanced_pace_chart(id=0, promember=0):
 def get_zones_report(rower, startdate, enddate, trainingzones='hr', date_agg='week',
                      yaxis='time'):
 
-    duration = enddate-startdate
-
-    totaldays = duration.total_seconds()/(24*3600)
-
     dates = []
     dates_sorting = []
     minutes = []
@@ -6657,14 +6530,10 @@ def get_zones_report(rower, startdate, enddate, trainingzones='hr', date_agg='we
     df = dataprep.clean_df_stats(df, workstrokesonly=False,
                                  ignoreadvanced=True, ignorehr=False)
 
-    #totalmeters,totalhours, totalminutes, totalseconds = get_totals(workouts)
-
     hrzones = rower.hrzones
     powerzones = rower.powerzones
 
     for w in workouts:
-        dd = w.date.strftime('%m/%d')
-        dd2 = w.date.strftime('%Y/%m/%d')
         dd3 = w.date.strftime('%Y/%m')
         dd4 = '{year}/{week:02d}'.format(
             week=arrow.get(w.date).isocalendar()[1],
@@ -6798,7 +6667,6 @@ def get_zones_report(rower, startdate, enddate, trainingzones='hr', date_agg='we
         pass
 
     while d <= enddate:
-        dd = d.strftime('%d')
         if date_agg == 'week':
             dd4 = '{year}/{week:02d}'.format(
                 week=arrow.get(d).isocalendar()[1],
@@ -6842,12 +6710,6 @@ def interactive_zoneschart(rower, data, startdate, enddate, trainingzones='hr',
         startdate = enddate
         enddate = st
 
-    duration = enddate-startdate
-
-    totaldays = duration.total_seconds()/(24*3600)
-
-    colors = ['gray', 'yellow', 'lime', 'blue', 'purple', 'red']
-
     hrzones = rower.hrzones
     powerzones = rower.powerzones
 
@@ -6893,10 +6755,6 @@ def interactive_zoneschart(rower, data, startdate, enddate, trainingzones='hr',
 
     df.drop('minutes', inplace=True, axis='columns')
 
-    # df.drop('hours',inplace=True,axis='columns')
-
-    source = ColumnDataSource(df)
-
     df.sort_values('date_sorting', inplace=True)
     df.drop('date_sorting', inplace=True, axis='columns')
     df['totaltime'] = 0
@@ -6927,7 +6785,6 @@ def interactive_zoneschart(rower, data, startdate, enddate, trainingzones='hr',
     bars = hv.Bars(df, kdims=['date', 'zones']).aggregate(
         function=np.sum).redim.values(zones=zones_order)
 
-    #bars = table.to.bars(['date','zones'],['minutes'])
     bars.opts(
         opts.Bars(cmap=color_map, show_legend=True, stacked=True,
                   tools=['tap', 'hover'], width=550, padding=(0, (0, .1)),

tox.ini

@@ -1,4 +1,4 @@
 [flake8]
-ignore = F405, F403, E722, E226, W504, F401, W605
+ignore = F405, F403, E722, E226, W504, F401, W605, E501
 max-line-length = 120
 exclude = .git, rowers/migrations, rowers/tests, rowers/admin.py