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dashapp.py
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## dependencies:
# dash
# dash_core_components
# dash_html_components
# Input, Output, State
# colormode == 'custom' is the only choice for heatmap
# colormode == 'custom' is disableed for line, area, link, ribbon, twistedribbon
# colormode == 'ideogram' is disabled for link, ribbon, twistedribbon
# colormode is disabled for connector
import sys
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
import dash_colorscales
import plotly.graph_objs as go
import numpy as np
import pandas as pd
import maths
import colors
import colorlover as cl
from Complex import Complex
from fig import Figure
from time import time
from config import json_config, coord_config
from colorpicker_box import ColorPickerBox
import dash_daq as daq
from dashapp_functions import *
import io
import base64
import json
from dash_dict import *
from dash.exceptions import PreventUpdate
__author__ = 'Jin Cui'
__version__ = '1.0.0'
__date__ = 'August 27 2018'
if (sys.version_info[0]!=3):
raise Exception('PCircos requires Python 2, your current Python version is {}.{}.{}'.
format(sys.version_info[0], sys.version_info[1], sys.version_info[2]))
UPLOADBOX_STYLES = {'display': 'block', 'position': 'relative', 'width': '95%', 'height': '40px',
'line-height': '40px', 'border-width': '1px', 'border-style': 'dashed',
'border-radius': '5px', 'text-align': 'center', 'marginTop': '1.2em',
'marginBottom': '0.8em', 'overflow': 'auto'
}
FS_STYLES = {'marginTop': '0.6em', 'marginBottom': '0.4em'}
P_NELEMENT_STYLES = {'width': '10.5em'}
SWITCH_STYLES = {'display': 'inline-block', 'marginTop': '0.3em' }
'''
external_css = ['pcircos.css', 'jquery.dataTables.min.css', 'jquery-ui.css', 'https://codepen.io/chriddyp/pen/bWLwgP.css']
external_js = [ "https://code.jquery.com/jquery-3.3.1.js",
"pcircos.js",
"https://code.jquery.com/ui/1.10.4/jquery-ui.js",
"https://cdn.datatables.net/1.10.19/js/jquery.dataTables.min.js",
"https://code.jquery.com/ui/1.10.4/jquery-ui.js",
]
'''
external_css = [
'https://codepen.io/chriddyp/pen/bWLwgP.css',
{
'href': 'https://use.fontawesome.com/releases/v5.7.2/css/all.css',
'rel': 'stylesheet',
'integrity': 'sha384-fnmOCqbTlWIlj8LyTjo7mOUStjsKC4pOpQbqyi7RrhN7udi9RwhKkMHpvLbHG9Sr',
'crossorigin': 'anonymous'
}]
app = dash.Dash(__name__, external_stylesheets=external_css)
server = app.server
#app.config.supress_callback_exceptions = True
#fig_instance = Figure(input_json_path=sys.argv[1])
#checkbox_options = [*map(lambda x: {'label': str(x), 'value': str(x)}, fig_instance.get_chr_info()['chr_label'])].copy()
#checkbox_values = fig_instance.get_chr_info()['chr_label'].tolist()
app.layout = html.Div([
html.Div([
html.Details([
html.Summary('Ideogram'),
html.Div([
html.Details([
html.Summary('Ideogram upload', className='summary-secondary'),
html.Div([
dcc.Upload(
id='ideogram-upload',
children=html.Div([
'Upload ideogram here'
]),
style=UPLOADBOX_STYLES,
),
html.P('Choose a field separator', style=FS_STYLES),
dcc.RadioItems(
id='ideogram-fs',
options=[{'label': i, 'value': i} for i in ['Tab', 'Blank', 'Comma']],
value='Tab',
labelStyle={'dispaly': 'inline-block'}
),
html.P('Select degree range'),
html.Div([
dcc.Input(
id='ideogram-degreerange-min',
type='number',
value=0,
step=10,
min=0,
max=179,
style={'width': '45%'}
),
html.P('-', style={'display': 'inline-block'}),
dcc.Input(
id='ideogram-degreerange-max',
type='number',
value=360,
step=10,
min=180,
max=360,
style={'width': '45%'}
),
], style={'display': 'inline-block'}),
html.P('Ideogram fill opacity'),
dcc.Input(
id='ideogram-opacity',
type='number',
value=0.6,
step=0.05,
min=0,
max=1,
style={'width': '45%', 'marginBottom': '1.2em'}
),
], className='indent')
]),
html.Details([
html.Summary('Ideogram annotation', className='summary-secondary'),
html.Div([
html.P('Enable chromosome annotations', className='booleanswitch'),
daq.BooleanSwitch(
id='ideogram-chrannotation-enabler',
on=True,
style={'display':'inline-block'}
),
html.Div([
html.P('Input annotation radius'),
dcc.Input(
id='ideogram-chrannotation-radius',
type='number',
value=1.25,
min=1,
max=2,
step=0.05,
style={'width': '45%'}
),
html.P('Select annotation font size (px)'),
dcc.Input(
id='ideogram-chrannotation-fontsize',
type='number',
value=15,
min=5,
max=40,
step=1
),
html.P('Select annotation font type'),
dcc.RadioItems(
id='ideogram-chrannotation-fonttype',
options=[{'label': i, 'value': i} for i in ['normal', 'bold', 'italic', 'bold+italic']],
value='bold',
labelStyle={'display': 'inline-block'}
),
html.P('Select annotation font color'),
ColorPickerBox(id='ideogram-chrannotation-fontcolor', value={'rgb': {'r': 0, 'g': 0, 'b': 0, 'a': 1}}),
html.P('Input annotation angle offset'),
dcc.Input(
id='ideogram-chrannotation-angleoffset',
type='number',
value=-90,
min=-90,
max=90,
step=90,
style={'width': '45%'}
),
html.P('Input annotation angle limit'),
dcc.Input(
id='ideogram-chrannotation-anglelimit',
type='number',
value=360,
min=180,
max=360,
step=180,
style={'width': '45%'}
),
], id='ideogram-chrannotation-font'),
], className='indent')
]),
html.Details([
html.Summary('Ideogram ticks', className='summary-secondary'),
html.Div([
html.P('Enable ideogram ticks', className='booleanswitch'),
daq.BooleanSwitch(
id='ideogram-ticks-enabler',
on=True,
style={'display': 'inline-block'}
),
html.Div([
html.P('Input majortick spacing'),
dcc.Input(
id='ideogram-majortick-spacing',
type='number',
value=20000000,
step=1000000,
),
html.P('Input minortick spacing'),
dcc.Input(
id='ideogram-minortick-spacing',
type='number',
value=5000000,
step=250000,
),
html.P('Select tick label format'),
dcc.RadioItems(
id='ideogram-tick-format',
options=[{'label': i, 'value': i} for i in ['Mb', 'Kb', 'Gb']],
value='Mb',
labelStyle={'display': 'inline-block'},
),
], id='ideogram-tick-controls'
),
], className='indent')
]),
], className='indent'),
]),
html.Details([
html.Summary('Backgrounds'),
html.Div([
html.Details([
html.Summary('Cytoband', className='summary-secondary'),
html.Div([
dcc.Upload(
id='cytoband-upload',
children=html.Div(['Upload cytoband here']),
style=UPLOADBOX_STYLES,
),
html.P('Choose a field separator', style=FS_STYLES),
dcc.RadioItems(
id='cytoband-fs',
options=[{'label': i, 'value': i} for i in ['Tab', 'Blank', 'Comma']],
value='Tab',
labelStyle={'dispaly': 'inline-block'}
),
html.P('Select opacity value'),
dcc.Input(id='cytoband-opacity', type='number', value=0.9, min=0, max=1, step=0.05),
], className='indent')
]),
html.Details([
html.Summary('Ring', className='summary-secondary'),
html.Div([
expand_ring(10),
], style={'paddingLeft': '0.2em', 'marginBottom': '1.2em'}
),
]),
html.Details([
html.Summary('Highlight', className='summary-secondary'),
html.Div([
dcc.Upload(
id='highlight-upload',
children=html.Div(['Upload highlight here']),
style=UPLOADBOX_STYLES,
),
html.P('Choose a field separator'),
dcc.RadioItems(
id='highlight-fs',
options=[{'label': i, 'value': i} for i in ['Tab', 'Blank', 'Comma']],
value='Tab',
labelStyle={'dispaly': 'inline-block'}
),
], className='indent'),
]),
html.Details([
html.Summary('Annotation', className='summary-secondary'),
html.Div([
dcc.Upload(
id='annotation-upload',
children=html.Div(['Upload annotation here']),
style=UPLOADBOX_STYLES,
),
html.P('Choose a field separator'),
dcc.RadioItems(
id='annotation-fs',
options=[{'label': i, 'value': i} for i in ['Tab', 'Blank', 'Comma']],
value='Tab',
labelStyle={'dispaly': 'inline-block'}
),
], className='indent')
]),
], className='indent'),
]),
html.Details([
html.Summary('Plots'),
html.Div([
html.Details([
html.Summary('Histogram', className='summary-secondary'),
html.Div([
html.P('Input the number of histogram(s)'),
html.Div([
dcc.Input(id='histogram-number', value=0, min=0, max=5, type='number', style={'display': 'inline-block', 'width': '45%'}),
daq.BooleanSwitch(
id='histogram-number-lock',
on=False,
label='lock',
labelPosition='bottom',
style={'display': 'inline-block', 'float': 'right'}
)
], style={'marginBottom': '1.2em'}),
#html.Div(id='histogram-expand'),
html.Div([expand_histogram()]),
], className='indent'),
]),
html.Details([
html.Summary('Scatter', className='summary-secondary'),
html.Div([
html.P('Input the number of scatter(s)'),
html.Div([
dcc.Input(id='scatter-number', value=0, min=0, max=5, type='number', style={'display': 'inline-block', 'width': '45%'}),
daq.BooleanSwitch(
id='scatter-number-lock',
on=False,
label='lock',
labelPosition='bottom',
style={'display': 'inline-block', 'float': 'right'}
)
], style={'marginBottom': '1.2em'}),
#html.Div(id='scatter-expand'),
html.Div([expand_scatter()]),
], className='indent')
]),
html.Details([
html.Summary('Line', className='summary-secondary'),
html.Div([
html.P('Input the number of line(s)'),
html.Div([
dcc.Input(id='line-number', value=0, min=0, max=5, type='number', style={'display': 'inline-block', 'width': '45%'}),
daq.BooleanSwitch(
id='line-number-lock',
on=False,
label='lock',
labelPosition='bottom',
style={'display': 'inline-block', 'float': 'right'}
)
], style={'marginBottom': '1.2em'}),
#html.Div(id='line-expand'),
html.Div([expand_line()]),
], className='indent')
]),
html.Details([
html.Summary('Area', className='summary-secondary'),
html.Div([
html.P('Input the number of area(s)'),
html.Div([
dcc.Input(id='area-number', value=0, min=0, max=5, type='number', style={'display': 'inline-block', 'width': '45%'}),
daq.BooleanSwitch(
id='area-number-lock',
on=False,
label='lock',
labelPosition='bottom',
style={'display': 'inline-block', 'float': 'right'}
)
], style={'marginBottom': '1.2em'}),
#html.Div(id='area-expand'),
html.Div([expand_area()]),
], className='indent')
]),
html.Details([
html.Summary('Tile', className='summary-secondary'),
html.Div([
html.P('Input the number of tile(s)'),
html.Div([
dcc.Input(id='tile-number', value=0, min=0, max=5, type='number', style={'display': 'inline-block', 'width': '45%'}),
daq.BooleanSwitch(
id='tile-number-lock',
on=False,
label='lock',
labelPosition='bottom',
style={'display': 'inline-block', 'float': 'right'}
)
], style={'marginBottom': '1.2em'}),
#html.Div(id='tile-expand'),
html.Div([expand_tile()]),
], className='indent')
]),
html.Details([
html.Summary('Heatmap', className='summary-secondary'),
html.Div([
html.P('Input the number of heatmap(s)'),
html.Div([
dcc.Input(id='heatmap-number', value=0, min=0, max=5, type='number', style={'display': 'inline-block', 'width': '45%'}),
daq.BooleanSwitch(
id='heatmap-number-lock',
on=False,
label='lock',
labelPosition='bottom',
style={'display': 'inline-block', 'float': 'right'}
)
], style={'marginBottom': '1.2em'}),
#html.Div(id='heatmap-expand'),
html.Div([expand_heatmap()]),
], className='indent')
]),
html.Details([
html.Summary('Connector', className='summary-secondary'),
html.Div([
html.P('Input the number of connector(s)'),
html.Div([
dcc.Input(id='connector-number', value=0, min=0, max=5, type='number', style={'display': 'inline-block', 'width': '45%'}),
daq.BooleanSwitch(
id='connector-number-lock',
on=False,
label='lock',
labelPosition='bottom',
style={'display': 'inline-block', 'float': 'right'}
)
], style={'marginBottom': '1.2em'}),
#html.Div(id='connector-expand'),
html.Div([expand_connector()]),
], className='indent')
]),
html.Details([
html.Summary('Link', className='summary-secondary'),
html.Div([
html.P('Input the number of link(s)'),
html.Div([
dcc.Input(id='link-number', value=0, min=0, max=5, type='number', style={'display': 'inline-block', 'width': '45%'}),
daq.BooleanSwitch(
id='link-number-lock',
on=False,
label='lock',
labelPosition='bottom',
style={'display': 'inline-block', 'float': 'right'}
)
], style={'marginBottom': '1.2em'}),
#html.Div(id='link-expand'),
html.Div([expand_link()]),
], className='indent')
]),
html.Details([
html.Summary('Ribbon', className='summary-secondary'),
html.Div([
html.P('Input the number of ribbon(s)'),
html.Div([
dcc.Input(id='ribbon-number', value=0, min=0, max=5, type='number', style={'display': 'inline-block', 'width': '45%'}),
daq.BooleanSwitch(
id='ribbon-number-lock',
on=False,
label='lock',
labelPosition='bottom',
style={'display': 'inline-block', 'float': 'right'}
)
], style={'marginBottom': '1.2em'}),
#html.Div(id='ribbon-expand'),
html.Div([expand_ribbon()]),
], className='indent')
]),
html.Details([
html.Summary('Twisted ribbon', className='summary-secondary'),
html.Div([
html.P('Input the number of twisted ribbon(s)'),
html.Div([
dcc.Input(id='twistedribbon-number', value=0, min=0, max=5, type='number', style={'display': 'inline-block', 'width': '45%'}),
daq.BooleanSwitch(
id='twistedribbon-number-lock',
on=False,
label='lock',
labelPosition='bottom',
style={'display': 'inline-block', 'float': 'right'}
)
], style={'marginBottom': '1.2em'}),
#html.Div(id='twistedribbon-expand'),
html.Div([expand_twistedribbon()]),
], className='indent')
]),
])
]),
html.Button(id='submit-button', children='Submit'),
html.Div([
dcc.Store(id='ideogram-output'),
dcc.Store(id='cytoband-output'),
dcc.Store(id='ring-output'),
dcc.Store(id='highlight-output'),
dcc.Store(id='annotation-output'),
dcc.Store(id='histogram-output'),
dcc.Store(id='scatter-output'),
dcc.Store(id='line-output'),
dcc.Store(id='area-output'),
dcc.Store(id='tile-output'),
dcc.Store(id='heatmap-output'),
dcc.Store(id='connector-output'),
dcc.Store(id='link-output'),
dcc.Store(id='ribbon-output'),
dcc.Store(id='twistedribbon-output'),
dcc.Store(id='combined-output')
]),
], className='sidebar'),
#style={'width': '20%', 'display': 'inline-block', 'float': 'left', 'paddingRight': '10px', 'fontFamily': 'Times New Roman Times Serif'}),
html.Div([
dcc.Graph(id='PCircos_update')
], className='graph')
# style={'width': '80%', 'float': 'right', 'display': 'inline-block' })
], className="total")
def dash_input():
return [Input('submit-button', 'n_clicks')]
@app.callback(
Output('ideogram-chrannotation-font', 'style'),
[
Input('ideogram-chrannotation-enabler', 'on')
]
)
def enable_ideogramchrannotation(bool_value):
if bool_value is True:
return {'display': 'block', 'paddingLeft': '0.2em'}
else:
return {'display': 'none'}
## display or hide custom colors
'''
@app.callback(
Output('ideogram-customcolorlist', 'style'),
[
Input('ideogram-customcolor-enabler', 'on')
]
)
def enable_ideogramcustomcolor(bool_value):
if bool_value is True:
return {'display': 'block', 'marginTop': '0.8em'}
else:
return {'display': 'none'}
@app.callback(
Output('ideogram-customcolorlist', 'children'),
[
Input('chromosome-checklist', 'values')
]
)
def ideogram_colorbox(chromosome_checklist):
return expand_chromosome_color(chromosome_checklist)
'''
@app.callback(
Output('ideogram-tick-controls', 'style'),
[
Input('ideogram-ticks-enabler', 'on')
]
)
def ideogram_tick_controls(bool_value):
if bool_value is True:
return {'display': 'block', 'paddingLeft': '0.2em'}
else:
return {'display': 'none'}
## primary output into hidden divs
@app.callback(
Output('ideogram-output', 'data'),
[
Input('ideogram-upload', 'contents'),
Input('ideogram-fs', 'value'),
Input('ideogram-opacity', 'value'),
Input('ideogram-chrannotation-enabler', 'on'),
Input('ideogram-chrannotation-radius', 'value'),
Input('ideogram-chrannotation-fontsize', 'value'),
Input('ideogram-chrannotation-fonttype', 'value'),
Input('ideogram-chrannotation-fontcolor', 'value'),
Input('ideogram-chrannotation-angleoffset', 'value'),
Input('ideogram-chrannotation-anglelimit', 'value'),
Input('ideogram-degreerange-min', 'value'),
Input('ideogram-degreerange-max', 'value'),
#Input('chromosome-checklist', 'values'),
Input('ideogram-ticks-enabler', 'on'),
Input('ideogram-majortick-spacing', 'value'),
Input('ideogram-minortick-spacing', 'value'),
Input('ideogram-tick-format', 'value'),
],
)
def ideogram_callback(contents, fs, opacity, chrannotation,
chrannotation_radius, chrannotation_fontsize, chrannotation_fonttype,
chrannotation_fontcolor, chrannotation_angleoffset, chrannotation_anglelimit,
degreerange_min, degreerange_max,
#chromosome_checklist,
ticks_enabler, majortick_spacing, minortick_spacing, tick_format
):
degreerange = [degreerange_min, degreerange_max]
try:
content_string = interp_contents(contents)
decoded = base64.b64decode(content_string)
path = io.StringIO(decoded.decode('utf-8'))
df = pd.read_csv(path, sep=interp_fs(fs), header='infer')
print(df.head())
print('ideogram upload successful')
print(path)
except Exception:
print('unable to print ideogram dict')
ideogram_dict = {
'patch':{
'file': {
'path': content_string, 'sep': interp_fs(fs)
},
'radius': {'R0': 1.0, 'R1': 1.1},
'degreerange': degreerange,
'showfillcolor': True,
'layout': {'opacity': opacity},
'chrannotation': {
'show': chrannotation,
'radius': {'R': chrannotation_radius},
'fonttype': chrannotation_fonttype,
'textangle': {
'angleoffset': chrannotation_angleoffset,
'anglelimit': chrannotation_anglelimit
},
'layout': {
'font': {
'size': chrannotation_fontsize,
'color': revert_rgb(chrannotation_fontcolor)
}
},
},
"customoptions": {
"customlabel": "True",
"customspacing": "False",
"customcolor": "True"
},
},
'majortick': {
'show': ticks_enabler,
'spacing': majortick_spacing,
"radius": {"R0": 1.1, "R1": 1.12},
},
'minortick': {
'show': ticks_enabler,
'spacing': minortick_spacing,
"radius": {"R0": 1.1, "R1": 1.108},
},
'ticklabel': {
'show': ticks_enabler,
'spacing': majortick_spacing,
"radius": {"R": 1.16},
'textformat': tick_format,
'textangle': {
'angleoffset': chrannotation_angleoffset,
'anglelimit': chrannotation_anglelimit
}
}
}
return ideogram_dict
@app.callback(
Output('cytoband-output', 'data'),
[
Input('cytoband-upload', 'contents'),
Input('cytoband-fs', 'value'),
Input('cytoband-opacity', 'value'),
],
)
def cytoband_callback(contents, fs, opacity):
content_string = interp_contents(contents)
sep = interp_fs(fs)
if content_string == None:
cytoband_dict = {'show': False}
else:
cytoband_dict = {
'file': {
'path': content_string, 'header': 'infer', 'sep': sep
},
'layout': {'opacity': opacity}
}
#print(cytoband_dict)
return cytoband_dict
'''
@app.callback(
Output('ring-number', 'disabled'),
[
Input('ring-number-lock', 'on')
]
)
def ring_number_lock(bool_value):
return bool_value
'''
'''
@app.callback(
Output('ring-expand', 'children'),
[
Input('ring-number', 'value')
],
)
#def n_ring(number):
#return expand_ring(10)
'''
# ONGOING
@app.callback(
Output('ring-output', 'data'),
ring_input_list(),
)
def store_ring(*args):
res = []
for i in range(len(args)//4):
di = {
'radius': {
'R0': args[4*i],
'R1': args[4*i+1]
},
'layout': {
'opacity': args[4*i+2],
'fillcolor': 'rgb({},{},{})'.format(args[4*i+3]['rgb']['r'], args[4*i+3]['rgb']['g'], args[4*i+3]['rgb']['b']),
'layer': 'below',
'line': {
'width': 0
}
}
}
res.append(di)
#print('debugging store_ring 0')
#print(args)
#print('debugging store_ring res')
#print(res)
return res
@app.callback(
Output('highlight-output', 'data'),
[
Input('highlight-upload', 'contents'),
Input('highlight-fs', 'value')
],
)
def highlight_callback(contents, fs):
content_string = interp_contents(contents)
sep = interp_fs(fs)
if content_string == None:
highlight_dict = {'show': False}
else:
highlight_dict = {
'file': {
'path': content_string, 'header': 'infer', 'sep': sep
}
}
#print(highlight_dict)
return highlight_dict
@app.callback(
Output('annotation-output', 'data'),
[
Input('annotation-upload', 'contents'),
Input('annotation-fs', 'value')
],
)
def annotation_callback(contents, fs):
content_string = interp_contents(contents)
sep = interp_fs(fs)
if content_string == None:
annotation_dict = {'show': False}
else:
annotation_dict = {
'file': {
'path': content_string, 'header': 'infer', 'sep': sep,
},
'customcolor': False
}
return annotation_dict
## display or hide depending on the number of histogram user inputs
### I have to list all possible combinations since one of the limitations of dash is multiple outputs
### histogram list of callbacks
@app.callback(
Output('histogram-idx_0', 'style'),
[Input('histogram-number', 'value')]
)
def toggle_histogram_0(number):
if number >= 1: return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-idx_1', 'style'),
[Input('histogram-number', 'value')]
)
def toggle_histogram_1(number):
if number >= 2: return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-idx_2', 'style'),
[Input('histogram-number', 'value')]
)
def toggle_histogram_2(number):
if number >= 3: return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-idx_3', 'style'),
[Input('histogram-number', 'value')]
)
def toggle_histogram_3(number):
if number >= 4: return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-idx_4', 'style'),
[Input('histogram-number', 'value')]
)
def toggle_histogram_4(number):
if number >= 5: return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-colormode-mono_0', 'style'),
[Input('histogram-colormode_0', 'value')]
)
def histogram_colormode_mono_0(value):
if value == 'Mono':
return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-colormode-custom_0', 'style'),
[Input('histogram-colormode_0', 'value')]
)
def histogram_colormode_custom_0(value):
if value == 'Custom':
return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-colormode-mono_1', 'style'),
[Input('histogram-colormode_1', 'value')]
)
def histogram_colormode_mono_1(value):
if value == 'Mono':
return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-colormode-custom_1', 'style'),
[Input('histogram-colormode_1', 'value')]
)
def histogram_colormode_custom_1(value):
if value == 'Custom':
return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-colormode-mono_2', 'style'),
[Input('histogram-colormode_2', 'value')]
)
def histogram_colormode_mono_2(value):
if value == 'Mono':
return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-colormode-custom_2', 'style'),
[Input('histogram-colormode_2', 'value')]
)
def histogram_colormode_custom_2(value):
if value == 'Custom':
return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-colormode-mono_3', 'style'),
[Input('histogram-colormode_3', 'value')]
)
def histogram_colormode_mono_3(value):
if value == 'Mono':
return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-colormode-custom_3', 'style'),
[Input('histogram-colormode_3', 'value')]
)
def histogram_colormode_custom_3(value):
if value == 'Custom':
return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-colormode-mono_4', 'style'),
[Input('histogram-colormode_4', 'value')]
)
def histogram_colormode_mono_4(value):
if value == 'Mono':
return {'display': 'block'}
else: return {'display': 'none'}
@app.callback(
Output('histogram-colormode-custom_4', 'style'),
[Input('histogram-colormode_4', 'value')]
)
def histogram_colormode_custom_4(value):