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pmall
app_OP
Commits
c6795f49
Commit
c6795f49
authored
Jan 08, 2020
by
Samuël Weber
Browse files
work on OP contribution
parent
59ee76ef
Changes
2
Hide whitespace changes
Inline
Side-by-side
apps/app_components.py
View file @
c6795f49
...
...
@@ -438,15 +438,6 @@ def get_op_contribution_component():
],
value
=
'daily'
,
),
dcc
.
RadioItems
(
id
=
'op-contribution-estimator'
,
className
=
'options-items'
,
options
=
[
{
'label'
:
'Mean'
,
'value'
:
'mean'
},
{
'label'
:
'Median'
,
'value'
:
'median'
},
],
value
=
'median'
,
),
dcc
.
Loading
(
dcc
.
Graph
(
id
=
"op-contribution-graph"
,
...
...
apps/app_results.py
View file @
c6795f49
...
...
@@ -1387,9 +1387,8 @@ def update_betacoeff_graph(sources, stations, species):
Input
(
'station-dropdown'
,
'value'
),
Input
(
'OP-dropdown'
,
'value'
),
Input
(
'op-contribution-plottype'
,
'value'
),
Input
(
'op-contribution-estimator'
,
'value'
)
])
def
update_op_contribution_graph
(
stations
,
species
,
plot_type
,
estimator
):
def
update_op_contribution_graph
(
stations
,
species
,
plot_type
):
"""TODO: Docstring for update_op_contribution_graph.
:returns: TODO
...
...
@@ -1437,34 +1436,42 @@ def update_op_contribution_graph(stations, species, plot_type, estimator):
contrib
=
contrib
.
dropna
(
how
=
"all"
,
axis
=
1
)
print
(
plot_type
)
contrib
=
ac
.
add_season
(
contrib
)
contrib
=
contrib
.
reset_index
().
melt
(
id_vars
=
[
"station"
,
"Date"
,
"season"
,
"month"
],
var_name
=
"factor"
,
value_name
=
"OP"
)
if
plot_type
==
"daily"
:
if
estimator
==
"median"
:
contrib
=
contrib
.
groupby
([
"factor"
]).
median
().
reset_index
()
elif
estimator
==
"mean"
:
contrib
=
contrib
.
groupby
([
"factor"
]).
mean
().
reset_index
()
if
plot_type
==
"daily"
:
data
=
contrib
.
groupby
([
"factor"
])
\
.
describe
()[
"OP"
][[
"mean"
,
"50%"
]]
\
.
reset_index
()
\
.
melt
(
id_vars
=
[
"factor"
],
value_name
=
"OP"
,
var_name
=
"estimator"
)
fig
=
px
.
bar
(
contrib
,
x
=
"OP"
,
y
=
"factor"
,
color
=
"factor"
,
data
,
x
=
"OP"
,
y
=
"factor"
,
color
=
"factor"
,
orientation
=
'h'
,
facet_row
=
"estimator"
,
color_discrete_map
=
colors
,
height
=
500
category_orders
=
{
"estimator"
:
[
"50%"
,
"mean"
]},
height
=
1000
)
fig
.
update_yaxes
(
title_text
=
"Median value<br>OP {} (nmol.min⁻¹.m⁻³)"
.
format
(
species
[
0
]),
row
=
1
)
fig
.
update_yaxes
(
title_text
=
"Mean value<br>OP {} (nmol.min⁻¹.m⁻³)"
.
format
(
species
[
0
]),
row
=
2
)
elif
plot_type
==
"seasonal"
:
if
estimator
==
"median"
:
contrib
=
contrib
.
groupby
([
"season"
,
"station"
,
"factor"
]).
median
().
reset_index
()
elif
estimator
==
"mean"
:
contrib
=
contrib
.
groupby
([
"season"
,
"station"
,
"factor"
]).
mean
().
reset_index
()
data
=
contrib
.
groupby
([
"season"
,
"factor"
])
\
.
describe
()[
"OP"
][[
"mean"
,
"50%"
]]
\
.
reset_index
()
\
.
melt
(
id_vars
=
[
"season"
,
"factor"
],
value_name
=
"OP"
,
var_name
=
"estimator"
)
fig
=
px
.
bar
(
contrib
,
x
=
"season"
,
y
=
"OP"
,
color
=
"factor"
,
data
,
x
=
"season"
,
y
=
"OP"
,
color
=
"factor"
,
color_discrete_map
=
colors
,
facet_row
=
"station"
,
height
=
500
*
len
(
stations
)
barmode
=
"group"
,
facet_row
=
"estimator"
,
category_orders
=
{
"season"
:
[
"Winter"
,
"Spring"
,
"Summer"
,
"Fall"
]},
height
=
1000
,
#*len(stations),
)
fig
.
update_yaxes
(
title_text
=
"Median value<br>OP {} (nmol.min⁻¹.m⁻³)"
.
format
(
species
[
0
]),
row
=
1
)
fig
.
update_yaxes
(
title_text
=
"Mean value<br>OP {} (nmol.min⁻¹.m⁻³)"
.
format
(
species
[
0
]),
row
=
2
)
elif
plot_type
==
"ts"
:
fig
=
px
.
area
(
contrib
,
x
=
"Date"
,
y
=
"OP"
,
color
=
"factor"
,
...
...
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