def daily_timseries( ts ):
fig = Figure( ( 2.56, 2.56 ), 300 )
canvas = FigureCanvas(fig)
ax = fig.add_axes((0,0,1,1))
ax.set_ylim( [ 0 , 500 ] )
preferspan = ax.axhspan( SAFE[0], SAFE[1],
facecolor='g', alpha=0.2,
edgecolor = '#003333',
linewidth=1
)
# XXX: gets a list of days.
timestamps = glucose.get_days( ts.time )
halfday = dates.relativedelta( hours=12 )
soleday = dates.relativedelta( days=1 )
xmin, xmax = ( timestamps[ 0 ], timestamps[ 1 ] + soleday )
ax.set_xlim( [ xmin, xmax ] )
#fig.autofmt_xdate( )
#plot_glucose_stems( ax, ts )
plt.setp(ax.get_xminorticklabels(), visible=False )
plt.setp(ax.get_xmajorticklabels(), visible=False )
plt.setp(ax.get_ymajorticklabels(), visible=False )
plt.setp(ax.get_yminorticklabels(), visible=False )
ax.grid(True)
xmin, xmax = ax.get_xlim( )
log.info( pformat( {
'xlim': [ dates.num2date( xmin ), dates.num2date( xmax ) ],
} ) )
return canvas
def daily_timseries(ts):
fig = Figure((2.56, 2.56), 300)
canvas = FigureCanvas(fig)
ax = fig.add_axes((0, 0, 1, 1))
ax.set_ylim([0, 500])
preferspan = ax.axhspan(SAFE[0],
SAFE[1],
facecolor='g',
alpha=0.2,
edgecolor='#003333',
linewidth=1)
# XXX: gets a list of days.
timestamps = glucose.get_days(ts.time)
halfday = dates.relativedelta(hours=12)
soleday = dates.relativedelta(days=1)
xmin, xmax = (timestamps[0], timestamps[1] + soleday)
ax.set_xlim([xmin, xmax])
#fig.autofmt_xdate( )
#plot_glucose_stems( ax, ts )
plt.setp(ax.get_xminorticklabels(), visible=False)
plt.setp(ax.get_xmajorticklabels(), visible=False)
plt.setp(ax.get_ymajorticklabels(), visible=False)
plt.setp(ax.get_yminorticklabels(), visible=False)
ax.grid(True)
xmin, xmax = ax.get_xlim()
log.info(pformat({
'xlim': [dates.num2date(xmin),
dates.num2date(xmax)],
}))
return canvas
def grid( data ):
fig = Figure( ( 2.56, 2.56 ), 300 )
canvas = FigureCanvas(fig)
d = data.time[ 0 ]
day = glucose.glucose_for_day( data, d )
days = glucose.get_days( data.time )
name = str( d )
ax = fig.add_axes((.5,0,1,1))
xmin, xmax = days[ 0 ], days[ -1 ]
ax.set_xlim( [ xmin, xmax ] )
ax.grid(True)
safe_span(ax)
one = ax.text( .50, .50, name,
horizontalalignment='center',
verticalalignment='center',
transform = ax.transAxes )
one.remove( )
log.info( pformat( one ) )
ax.text( .60, .60, name + "two",
horizontalalignment='center',
verticalalignment='center',
transform = ax.transAxes )
set_daily_locators( ax )
config_yaxis( ax )
return canvas
def tiled_axis( ts, filename=None ):
fig = Figure( ( 2.56 * 4, 2.56 * 4), 300 )
canvas = FigureCanvas(fig)
#ax = fig.add_subplot(111)
grid = ImageGrid(fig, 111, # similar to subplot(111)
nrows_ncols = (3, 1),
axes_pad = 0.5,
add_all=True,
label_mode = "L",
)
# pad half a day so that major ticks show up in the middle, not on the edges
delta = dates.relativedelta( days=2, hours=12 )
# XXX: gets a list of days.
timestamps = glucose.get_days( ts.time )
xmin, xmax = ( timestamps[ 0 ] - delta,
timestamps[ -1 ] + delta )
fig.autofmt_xdate( )
def make_plot( ax, limit ):
preferspan = ax.axhspan( SAFE[0], SAFE[1],
facecolor='g', alpha=0.2,
edgecolor = '#003333',
linewidth=1
)
def draw_title( ax, limit ):
ax.set_title('glucose history')
#ax.set_ylabel('glucose mm/dL')
return canvas
def giant_timeseries( ts ):
fig = Figure( ( 20.3, 3.5 ), 300 )
canvas = FigureCanvas(fig)
ax = fig.add_subplot(111)
preferspan = ax.axhspan( SAFE[0], SAFE[1],
facecolor='g', alpha=0.35,
edgecolor = '#003333',
linewidth=1
)
# visualize glucose using stems
# XXX: gets a list of days.
timestamps = glucose.get_days( ts.time )
delta = dates.relativedelta( days=1, hours=12 )
oneday = dates.relativedelta( days=1 )
xmin, xmax = ( timestamps[ 0 ], timestamps[ -1 ] )
ax.set_xlim( [ xmin, xmax ] )
markers, stems, baselines = ax.stem( ts.time, ts.value,
linefmt='b:' )
plt.setp( markers, color='red', linewidth=.5,
marker='o'
)
plt.setp( baselines, marker='None' )
fig.autofmt_xdate( )
ax.set_title('glucose history')
ax.grid(True)
ax.set_xlabel('time')
majorLocator = dates.DayLocator( )
majorFormatter = dates.AutoDateFormatter( majorLocator )
minorLocator = dates.HourLocator( interval=6 )
minorFormatter = dates.AutoDateFormatter( minorLocator )
ax.xaxis.set_major_locator(majorLocator)
ax.xaxis.set_major_formatter(majorFormatter)
ax.xaxis.set_minor_locator(minorLocator)
ax.xaxis.set_minor_formatter(minorFormatter)
labels = ax.get_xminorticklabels()
plt.setp(labels, rotation=30, fontsize='small')
plt.setp(ax.get_xmajorticklabels(), rotation=30, fontsize='medium')
xmin, xmax = ax.get_xlim( )
log.info( pformat( {
'xlim': [ dates.num2date( xmin ), dates.num2date( xmax ) ],
} ) )
ax.set_ylabel('glucose mm/dL')
return canvas
def giant_timeseries(ts):
fig = Figure((20.3, 3.5), 300)
canvas = FigureCanvas(fig)
ax = fig.add_subplot(111)
preferspan = ax.axhspan(SAFE[0],
SAFE[1],
facecolor='g',
alpha=0.35,
edgecolor='#003333',
linewidth=1)
# visualize glucose using stems
# XXX: gets a list of days.
timestamps = glucose.get_days(ts.time)
delta = dates.relativedelta(days=1, hours=12)
oneday = dates.relativedelta(days=1)
xmin, xmax = (timestamps[0], timestamps[-1])
ax.set_xlim([xmin, xmax])
markers, stems, baselines = ax.stem(ts.time, ts.value, linefmt='b:')
plt.setp(markers, color='red', linewidth=.5, marker='o')
plt.setp(baselines, marker='None')
fig.autofmt_xdate()
ax.set_title('glucose history')
ax.grid(True)
ax.set_xlabel('time')
majorLocator = dates.DayLocator()
majorFormatter = dates.AutoDateFormatter(majorLocator)
minorLocator = dates.HourLocator(interval=6)
minorFormatter = dates.AutoDateFormatter(minorLocator)
ax.xaxis.set_major_locator(majorLocator)
ax.xaxis.set_major_formatter(majorFormatter)
ax.xaxis.set_minor_locator(minorLocator)
ax.xaxis.set_minor_formatter(minorFormatter)
labels = ax.get_xminorticklabels()
plt.setp(labels, rotation=30, fontsize='small')
plt.setp(ax.get_xmajorticklabels(), rotation=30, fontsize='medium')
xmin, xmax = ax.get_xlim()
log.info(pformat({
'xlim': [dates.num2date(xmin),
dates.num2date(xmax)],
}))
ax.set_ylabel('glucose mm/dL')
return canvas
def daily_axis( ts ): # http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html fig = Figure( ( 2.56, 2.56 ), 300 ) canvas = FigureCanvas(fig) ax = fig.add_subplot(111) safe_span(ax) timestamps = glucose.get_days( ts.time ) xmin, xmax = timestamps[ 0 ], timestamps[ -1 ] ax.set_xlim( [ xmin, xmax ] ) ax.set_ylim( [ ts.value.min( ) *.85 , 600 ] ) log.info( pformat( timestamps ) ) #fig.autofmt_xdate( ) ax.grid(True) return canvas
def daily_axis( ts ):
# http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html
fig = Figure( ( 2.56, 2.56 ), 300 )
canvas = FigureCanvas(fig)
ax = fig.add_subplot(111)
preferspan = ax.axhspan( SAFE[0], SAFE[1],
facecolor='g', alpha=0.2,
edgecolor = '#003333',
linewidth=1
)
timestamps = glucose.get_days( ts.time )
xmin, xmax = timestamps[ 0 ], timestamps[ -1 ]
ax.set_xlim( [ xmin, xmax ] )
ax.set_ylim( [ ts.value.min( ) *.85 , 600 ] )
log.info( pformat( timestamps ) )
#fig.autofmt_xdate( )
ax.grid(True)
return canvas
def daily_axis(ts):
# http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html
fig = Figure((2.56, 2.56), 300)
canvas = FigureCanvas(fig)
ax = fig.add_subplot(111)
preferspan = ax.axhspan(SAFE[0],
SAFE[1],
facecolor='g',
alpha=0.2,
edgecolor='#003333',
linewidth=1)
timestamps = glucose.get_days(ts.time)
xmin, xmax = timestamps[0], timestamps[-1]
ax.set_xlim([xmin, xmax])
ax.set_ylim([ts.value.min() * .85, 600])
log.info(pformat(timestamps))
#fig.autofmt_xdate( )
ax.grid(True)
return canvas
def tiled_axis( ts, filename=None ):
fig = Figure( ( 2.56 * 4, 2.56 * 4), 300 )
canvas = FigureCanvas(fig)
#ax = fig.add_subplot(111)
grid = ImageGrid(fig, 111, # similar to subplot(111)
nrows_ncols = (3, 1),
axes_pad = 0.5,
add_all=True,
label_mode = "L",
)
# pad half a day so that major ticks show up in the middle, not on the edges
delta = dates.relativedelta( days=2, hours=12 )
# XXX: gets a list of days.
timestamps = glucose.get_days( ts.time )
xmin, xmax = ( timestamps[ 0 ] - delta,
timestamps[ -1 ] + delta )
fig.autofmt_xdate( )
def make_plot( ax, limit ):
preferspan = ax.axhspan( SAFE[0], SAFE[1],
facecolor='g', alpha=0.2,
edgecolor = '#003333',
linewidth=1
)
def draw_glucose( ax, limit ):
xmin, xmax = limit
# visualize glucose using stems
ax.set_xlim( [ xmin, xmax ] )
markers, stems, baselines = ax.stem( ts.time, ts.value,
linefmt='b:' )
plt.setp( markers, color='red', linewidth=.5,
marker='o'
)
plt.setp( baselines, marker='None' )
def draw_title( ax, limit ):
ax.set_title('glucose history')
def get_axis( ax, limit ):
xmin, xmax = limit
ax.set_xlim( [ xmin, xmax ] )
ax.grid(True)
#ax.set_ylim( [ ts.value.min( ) *.85 , 600 ] )
#ax.set_xlabel('time')
majorLocator = dates.DayLocator( )
majorFormatter = dates.AutoDateFormatter( majorLocator )
minorLocator = dates.HourLocator( interval=6 )
minorFormatter = dates.AutoDateFormatter( minorLocator )
#ax.xaxis.set_major_locator(majorLocator)
#ax.xaxis.set_major_formatter(majorFormatter)
ax.xaxis.set_minor_locator(minorLocator)
ax.xaxis.set_minor_formatter(minorFormatter)
labels = ax.get_xminorticklabels()
plt.setp(labels, rotation=30, fontsize='small')
plt.setp(ax.get_xmajorticklabels(), rotation=30, fontsize='medium')
xmin, xmax = ax.get_xlim( )
log.info( pformat( {
'xlim': [ dates.num2date( xmin ), dates.num2date( xmax ) ],
'xticks': dates.num2date( ax.get_xticks( ) ),
} ) )
for i, day in enumerate(timestamps):
ax = grid[i]
get_axis( ax, [ day, day + delta ] )
name = '%s-%d.png' % ( day.isoformat( ), i )
#fig.savefig( name )
canvas.print_figure(name)
# fig.clf()
#make_plot( ax,
#ax.set_ylabel('glucose mm/dL')
return canvas
def tiled_axis(ts, filename=None):
fig = Figure((2.56 * 4, 2.56 * 4), 300)
canvas = FigureCanvas(fig)
#ax = fig.add_subplot(111)
grid = ImageGrid(
fig,
111, # similar to subplot(111)
nrows_ncols=(3, 1),
axes_pad=0.5,
add_all=True,
label_mode="L",
)
# pad half a day so that major ticks show up in the middle, not on the edges
delta = dates.relativedelta(days=2, hours=12)
# XXX: gets a list of days.
timestamps = glucose.get_days(ts.time)
xmin, xmax = (timestamps[0] - delta, timestamps[-1] + delta)
fig.autofmt_xdate()
def make_plot(ax, limit):
preferspan = ax.axhspan(SAFE[0],
SAFE[1],
facecolor='g',
alpha=0.2,
edgecolor='#003333',
linewidth=1)
def draw_glucose(ax, limit):
xmin, xmax = limit
# visualize glucose using stems
ax.set_xlim([xmin, xmax])
markers, stems, baselines = ax.stem(ts.time, ts.value, linefmt='b:')
plt.setp(markers, color='red', linewidth=.5, marker='o')
plt.setp(baselines, marker='None')
def draw_title(ax, limit):
ax.set_title('glucose history')
def get_axis(ax, limit):
xmin, xmax = limit
ax.set_xlim([xmin, xmax])
ax.grid(True)
#ax.set_ylim( [ ts.value.min( ) *.85 , 600 ] )
#ax.set_xlabel('time')
majorLocator = dates.DayLocator()
majorFormatter = dates.AutoDateFormatter(majorLocator)
minorLocator = dates.HourLocator(interval=6)
minorFormatter = dates.AutoDateFormatter(minorLocator)
#ax.xaxis.set_major_locator(majorLocator)
#ax.xaxis.set_major_formatter(majorFormatter)
ax.xaxis.set_minor_locator(minorLocator)
ax.xaxis.set_minor_formatter(minorFormatter)
labels = ax.get_xminorticklabels()
plt.setp(labels, rotation=30, fontsize='small')
plt.setp(ax.get_xmajorticklabels(), rotation=30, fontsize='medium')
xmin, xmax = ax.get_xlim()
log.info(
pformat({
'xlim': [dates.num2date(xmin),
dates.num2date(xmax)],
'xticks': dates.num2date(ax.get_xticks()),
}))
for i, day in enumerate(timestamps):
ax = grid[i]
get_axis(ax, [day, day + delta])
name = '%s-%d.png' % (day.isoformat(), i)
#fig.savefig( name )
canvas.print_figure(name)
# fig.clf()
#make_plot( ax,
#ax.set_ylabel('glucose mm/dL')
return canvas
def day_ticks( ):
pass
if __name__ == '__main__':
print "Generate a chart of a timeseries."
parser = get_opt_parser( )
options, args = parser.parse_args( sys.argv )
infile, outfile = args[ 1 ], args[ 2 ]
if infile == '-':
infile = sys.stdin
outfile = os.path.join(options.prefix, outfile)
log.info( 'input: %s' % infile )
log.info( 'saving: %s' % outfile )
data = get_series( infile )
days= glucose.get_days( data.time )
for day in days:
records = glucose.glucose_for_day( data, day )
n = day.strftime( '%Y-%m-%d' )
canvas = y_axis_panel( )
#canvas.print_png(outfile, transparent=True)
#canvas.print_figure( outfile, transparent=True )
canvas.figure.savefig( outfile, transparent=True)
#####
# EOF
