import json
import dash_core_components as dcc
import dash_daq as daq
import dash_html_components as html
import plotly
from pkg_resources import parse_version
from dtale.charts.utils import YAXIS_CHARTS, ZAXIS_CHARTS, find_group_vals
from dtale.utils import (ChartBuildingError, classify_type, dict_merge,
flatten_lists, get_dtypes, inner_build_query,
is_app_root_defined, make_list)
[docs]def test_plotly_version(version_num):
if 'unknown' in plotly.__version__:
return True
return parse_version(plotly.__version__) >= parse_version(version_num)
[docs]def base_layout(github_fork, app_root, **kwargs):
"""
Base layout to be returned by :meth:`dtale.dash_application.views.DtaleDash.interpolate_index`
:param github_fork: `True` if "Fork me on Github" banner should be displayed, `False` otherwise
:type github_fork: bool
:param kwargs: Optional keyword arguments to be passed to 'dash.Dash.interplolate_index'
:type kwargs: dict
:return: HTML
:rtype: str
"""
back_to_data_padding, github_fork_html, webroot_html = ('', '', '')
if github_fork:
back_to_data_padding = 'padding-right: 125px'
github_fork_html = '''
<span id="forkongithub">
<a href="https://github.com/man-group/dtale">Fork me on GitHub</a>
</span>
'''
favicon_path = '../../images/favicon.png'
if is_app_root_defined(app_root):
webroot_html = '''
<script type="text/javascript">
window.resourceBaseUrl = '{app_root}';
</script>
'''.format(app_root=app_root)
favicon_path = '{}/images/favicon.png'.format(app_root)
return '''
<!DOCTYPE html>
<html>
<head>
{webroot_html}
{metas}
<title>D-Tale Charts</title>
<link rel="shortcut icon" href="{favicon_path}">
{css}
</head>
<body>
{github_fork_html}
<div class="container-fluid charts">
<div class="row" style="margin: 0">
<div class="col-auto">
<header>
<span class="title-font">D-TALE</span>
<span style="font-size: 16px" class="pl-4">Charts</span>
</header>
</div>
<div class="col"></div>
<div class="col-auto mt-4" style="{back_to_data_padding}">
<a href="#" onclick="javascript:backToData()">
<i class="fas fa-th mr-4"></i>
<span>Back To Data</span>
</a>
</div>
</div>
{app_entry}
</div>
<footer>
{config}
{scripts}
<script type="text/javascript">
const pathSegs = window.location.pathname.split('/');
const dataId = pathSegs[pathSegs.length - 1];
const backToData = () => window.open('{app_root}/dtale/main/' + dataId);
const goToLegacy = () => location.replace('{app_root}/dtale/popup/charts/' + dataId);
</script>
{renderer}
{css}
</footer>
</body>
</html>
'''.format(
metas=kwargs['metas'],
css=kwargs['css'],
app_entry=kwargs['app_entry'],
config=kwargs['config'],
scripts=kwargs['scripts'],
renderer=kwargs['renderer'],
back_to_data_padding=back_to_data_padding,
webroot_html=webroot_html,
github_fork_html=github_fork_html,
app_root=app_root if is_app_root_defined(app_root) else '',
favicon_path=favicon_path
)
[docs]def build_tab(label, value, additional_style=None, **kwargs):
"""
Builds a :dash:`dash_core_components.Tab <dash-core-components/tab>` with standard styling settings.
"""
base_style = {'borderBottom': '1px solid #d6d6d6', 'padding': '6px'}
return dcc.Tab(
label=label,
value=value,
style=dict_merge(base_style, {'fontWeight': 'bold'}, additional_style or {}),
disabled_style=dict_merge(
base_style,
{'fontWeight': 'bold', 'backgroundColor': 'LightGray', 'color': 'black', 'cursor': 'not-allowed'},
additional_style or {}
),
selected_style=dict_merge(
base_style,
{'borderTop': '1px solid #d6d6d6', 'backgroundColor': '#2a91d1', 'color': 'white'},
additional_style or {}
), **kwargs)
[docs]def build_option(value, label=None):
"""
Returns value/label inputs in a dictionary for use in
:dash:`dash_core_components.Dropdown <dash-core-components/Dropdown>`
"""
return {'label': label or value, 'value': value}
CHARTS = [
dict(value='line'), dict(value='bar'), dict(value='scatter'), dict(value='pie'), dict(value='wordcloud'),
dict(value='heatmap'), dict(value='3d_scatter', label='3D Scatter'), dict(value='surface'),
dict(value='maps', label='Maps')
]
CHART_INPUT_SETTINGS = {
'line': dict(x=dict(type='single'), y=dict(type='multi'), z=dict(display=False),
group=dict(display=True, type='single')),
'bar': dict(x=dict(type='single'), y=dict(type='multi'), z=dict(display=False),
group=dict(display=True, type='single')),
'scatter': dict(x=dict(type='single'), y=dict(type='multi'), z=dict(display=False),
group=dict(display=True, type='single')),
'pie': dict(x=dict(type='single'), y=dict(type='multi'), z=dict(display=False),
group=dict(display=True, type='single')),
'wordcloud': dict(x=dict(type='single'), y=dict(type='multi'), z=dict(display=False),
group=dict(display=True, type='single')),
'heatmap': dict(x=dict(type='single'), y=dict(type='single'), z=dict(display=True, type='single'),
group=dict(display=False)),
'3d_scatter': dict(x=dict(type='single'), y=dict(type='single'), z=dict(display=True, type='single'),
group=dict(display=True)),
'surface': dict(x=dict(type='single'), y=dict(type='single'), z=dict(display=True, type='single'),
group=dict(display=False)),
'maps': dict(x=dict(display=False), y=dict(display=False), z=dict(display=False), group=dict(display=False),
map_group=dict(display=True)),
}
AGGS = dict(
raw='No Aggregation', count='Count', nunique='Unique Count', sum='Sum', mean='Mean', rolling='Rolling',
corr='Correlation', first='First', last='Last', median='Median', min='Minimum', max='Maximum',
std='Standard Deviation', var='Variance', mad='Mean Absolute Deviation', prod='Product of All Items',
pctct='Percentage Count', pctsum='Percentage Sum'
)
FREQS = ['H', 'H2', 'WD', 'D', 'W', 'M', 'Q', 'Y']
FREQ_LABELS = dict(H='Hourly', H2='Hour', WD='Weekday', W='Weekly', M='Monthly', Q='Quarterly', Y='Yearly')
MAP_TYPES = [
dict(value='choropleth', image=True),
dict(value='scattergeo', label='ScatterGeo', image=True),
dict(value='mapbox')
]
SCOPES = ['world', 'usa', 'europe', 'asia', 'africa', 'north america', 'south america']
PROJECTIONS = ['equirectangular', 'mercator', 'orthographic', 'natural earth', 'kavrayskiy7', 'miller', 'robinson',
'eckert4', 'azimuthal equal area', 'azimuthal equidistant', 'conic equal area', 'conic conformal',
'conic equidistant', 'gnomonic', 'stereographic', 'mollweide', 'hammer', 'transverse mercator',
'albers usa', 'winkel tripel', 'aitoff', 'sinusoidal']
[docs]def build_img_src(proj, img_type='projections'):
return '../images/{}/{}.png'.format(img_type, '_'.join(proj.split(' ')))
[docs]def build_proj_hover_children(proj):
if proj is None:
return None
return [
html.I(className='ico-help-outline', style=dict(color='white')),
html.Div(
[html.Div(proj), html.Img(src=build_img_src(proj))],
className='hoverable__content',
style=dict(width='auto')
)
]
[docs]def build_proj_hover(proj):
return html.Span(
[
'Projection',
html.Div(
build_proj_hover_children(proj),
className='ml-3 hoverable',
style=dict(display='none') if proj is None else dict(borderBottom='none'),
id='proj-hover'
)
],
className='input-group-addon'
)
[docs]def build_mapbox_token_children():
from dtale.charts.utils import get_mapbox_token
msg = 'To access additional styles enter a token here...'
if get_mapbox_token() is None:
msg = 'Change your token here...'
return [
html.I(className='ico-help-outline', style=dict(color='white')),
html.Div(
[
html.Span('Mapbox Access Token:'),
dcc.Input(id='mapbox-token-input', type='text', placeholder=msg, className='form-control',
value='', style={'lineHeight': 'inherit'})
],
className='hoverable__content',
style=dict(width='20em', right='-1.45em')
)
]
[docs]def build_mapbox_token_hover():
return html.Span(
[
'Style',
html.Div(
build_mapbox_token_children(),
className='ml-3 hoverable',
style=dict(borderBottom='none'),
id='token-hover'
)
],
className='input-group-addon'
)
LOC_MODE_INFO = {
'ISO-3': dict(
url=html.A('ISO-3', href='https://en.wikipedia.org/wiki/ISO_3166-1_alpha-3', target='_blank'),
examples=['USA (United States)', 'CAN (Canada)', 'GBR (United Kingdom)']
),
'USA-states': dict(
url=html.A('USA-states (use ISO)', href='https://en.wikipedia.org/wiki/List_of_U.S._state_abbreviations',
target='_blank'),
examples=['NY (New York)', 'CA (California)', 'MA (Massachusetts)']
),
'country names': dict(
url=html.A('country names (case-insensitive)', href='https://simple.wikipedia.org/wiki/List_of_countries',
target='_blank'),
examples=['United States', 'United Kingdom', 'Germany']
)
}
[docs]def build_loc_mode_hover_children(loc_mode):
if loc_mode is None:
return None
loc_mode_cfg = LOC_MODE_INFO[loc_mode]
return [
html.I(className='ico-help-outline', style=dict(color='white')),
html.Div(
[
html.Div([html.Span('View', className='mr-3'), loc_mode_cfg['url']]),
html.Ul(
[html.Li(e, style={'listStyleType': 'disc'}, className='mb-3') for e in loc_mode_cfg['examples']],
className='pt-3 mb-0'
)
],
className='hoverable__content build-code',
style=dict(width='auto', whiteSpace='nowrap', left='-2em', top='auto')
)
]
[docs]def build_loc_mode_hover(loc_mode):
return html.Span(
[
html.Span('Location Mode', style=dict(whiteSpace='pre-line')),
html.Div(
build_loc_mode_hover_children(loc_mode),
className='ml-3 hoverable',
style=dict(display='none') if loc_mode is None else dict(borderBottom='none'),
id='loc-mode-hover'
)
],
className='input-group-addon pt-1 pb-0'
)
COLORSCALES = ['Blackbody', 'Bluered', 'Blues', 'Earth', 'Electric', 'Greens', 'Greys', 'Hot', 'Jet', 'Picnic',
'Portland', 'Rainbow', 'RdBu', 'Reds', 'Viridis', 'YlGnBu', 'YlOrRd']
ANIMATION_CHARTS = ['line']
ANIMATE_BY_CHARTS = ['bar', '3d_scatter', 'maps']
[docs]def update_label_for_freq(val):
"""
Formats sub-values contained within 'val' to display date frequencies if included.
- (val=['a', 'b', 'c']) => 'a, b, c'
- (val=['a|H', 'b', 'c']) => 'a (Hour), b, c'
"""
def _freq_handler(sub_val):
for freq in FREQS:
if sub_val.endswith('|{}'.format(freq)):
col, freq = sub_val.split('|')
if freq in FREQ_LABELS:
return '{} ({})'.format(col, FREQ_LABELS[freq])
return col
return sub_val
return ', '.join([_freq_handler(sub_val) for sub_val in make_list(val)])
[docs]def build_error(error, tb):
"""
Returns error/traceback information in standard component with styling
:param error: execption message
:type error: str
:param tb: tracebackF
:type tb: str
:return: error component
:rtype: :dash:`dash_html_components.Div <dash-html-components/div>`
"""
if isinstance(error, ChartBuildingError):
if error.details:
tb = error.details
error = error.error
return html.Div([
html.I(className='ico-error'), html.Span(str(error)), html.Div(html.Pre(str(tb)), className='traceback')
], className='dtale-alert alert alert-danger')
[docs]def build_cols(cols, dtypes):
"""
Helper function to add additional column entries for columns of type datetime so that users can make use of
different frequencies of dates. For example, hour, weekday, month, quarter, year
:param cols: columns in dataframe
:type cols: list of strings
:param dtypes: datatypes of columns in dataframe
:type dtypes: dict
:return: generator or columns + any additional (datetime column + frequency) options
"""
for c in cols:
if classify_type(dtypes[c]) == 'D':
for freq in FREQS:
if freq in FREQ_LABELS:
yield '{}|{}'.format(c, freq), '{} ({})'.format(c, FREQ_LABELS[freq])
else:
yield c, c
else:
yield c, c
[docs]def build_selections(*args):
"""
simple helper function to build a single level list of values based on variable number of inputs which could be
equal to None.
"""
return flatten_lists([[] if a is None else make_list(a) for a in args])
[docs]def build_map_options(df, type='choropleth', loc=None, lat=None, lon=None, map_val=None):
dtypes = get_dtypes(df)
cols = sorted(dtypes.keys())
float_cols, str_cols, num_cols = [], [], []
for c in cols:
dtype = dtypes[c]
classification = classify_type(dtype)
if classification == 'S':
str_cols.append(c)
continue
if classification in ['F', 'I']:
num_cols.append(c)
if classification == 'F':
float_cols.append(c)
lat_options = [build_option(c) for c in float_cols if c not in build_selections(lon, map_val)]
lon_options = [build_option(c) for c in float_cols if c not in build_selections(lat, map_val)]
loc_options = [build_option(c) for c in str_cols if c not in build_selections(map_val)]
if type == 'choropleth':
val_options = [build_option(c) for c in num_cols if c not in build_selections(loc)]
else:
val_options = [build_option(c) for c in num_cols if c not in build_selections(lon, lat)]
return loc_options, lat_options, lon_options, val_options
[docs]def build_mapbox_style_options():
from dtale.charts.utils import get_mapbox_token
free_styles = ['open-street-map', 'carto-positron', 'carto-darkmatter', 'stamen-terrain', 'stamen-toner',
'stamen-watercolor']
token_styles = ['basic', 'streets', 'outdoors', 'light', 'dark', 'satellite', 'satellite-streets']
styles = free_styles
if get_mapbox_token() is not None:
styles += token_styles
return [build_option(v) for v in styles]
[docs]def animate_styles(df, **inputs):
chart_type, agg, cpg = (inputs.get(p) for p in ['chart_type', 'agg', 'cpg'])
opts = []
if cpg or agg in ['pctsum', 'pctct']:
return dict(display='none'), dict(display='none'), opts
if chart_type in ANIMATION_CHARTS:
return dict(display='block'), dict(display='none'), opts
if chart_type in ANIMATE_BY_CHARTS:
opts = [build_option(v, l) for v, l in build_cols(df.columns, get_dtypes(df))]
if len(opts):
return dict(display='none'), dict(display='block'), opts
return dict(display='none'), dict(display='none'), []
[docs]def show_chart_per_group(**inputs):
"""
Boolean function to determine whether "Chart Per Group" toggle should be displayed or not
"""
[chart_type, group] = [inputs.get(p) for p in ['chart_type', 'group']]
invalid_type = chart_type in ['pie', 'wordcloud', 'maps']
return show_input_handler(chart_type)('group') and len(group or []) and not invalid_type
[docs]def show_yaxis_ranges(**inputs):
"""
Boolean function to determine whether "Y-Axis Range" inputs should be displayed or not
"""
chart_type, y = (inputs.get(p) for p in ['chart_type', 'y'])
return chart_type in YAXIS_CHARTS and len(y or [])
[docs]def get_yaxis_type_tabs(y):
tabs = [
build_tab('Default', 'default', {'padding': '2px', 'minWidth': '4em'}),
build_tab('Single', 'single', {'padding': '2px', 'minWidth': '4em'}),
]
if len(y) <= 1:
return tabs
return tabs + [build_tab('Multi', 'multi', {'padding': '2px', 'minWidth': '4em'})]
[docs]def build_group_val_options(df, group_cols):
group_vals = find_group_vals(df, group_cols)
return [
build_option(json.dumps(gv), '|'.join([str(gv.get(p, 'NaN')) for p in group_cols]))
for gv in group_vals
]
[docs]def build_map_type_tabs(map_type):
def _build_hoverable():
for t in MAP_TYPES:
if t.get('image', False):
yield html.Div([
html.Span(t.get('label', t['value'].capitalize())),
html.Img(src=build_img_src(t['value'], img_type='map_type'))
], className='col-md-6')
return html.Div(
[dcc.Tabs(
id='map-type-tabs',
value=map_type or 'choropleth',
children=[build_tab(t.get('label', t['value'].capitalize()), t['value']) for t in MAP_TYPES],
style=dict(height='36px'),
), html.Div(
html.Div(list(_build_hoverable()), className='row'),
className='hoverable__content map-types'
)],
style=dict(paddingLeft=15, borderBottom='none', width='20em'), className="hoverable"
)
[docs]def main_inputs_and_group_val_display(inputs):
chart_type = inputs.get('chart_type')
show_group = show_input_handler(inputs.get('chart_type', 'line'))('group')
if chart_type == 'maps' and not len(make_list(inputs.get('map_group'))):
return dict(display='none'), 'col-md-12'
elif show_group and not len(make_list(inputs.get('group'))):
return dict(display='none'), 'col-md-12'
return dict(display='block'), 'col-md-8'
[docs]def charts_layout(df, settings, **inputs):
"""
Builds main dash inputs with dropdown options populated with the columns of the dataframe associated with the
page. Inputs included are: chart tabs, query, x, y, z, group, aggregation, rolling window/computation,
chart per group toggle, bar sort, bar mode, y-axis range editors
:param df: dataframe to drive the charts built on page
:type df: :class:`pandas:pandas.DataFrame`
:param settings: global settings associated with this dataframe (contains properties like "query")
:type param: dict
:return: dash markup
"""
chart_type, x, y, z, group, agg = (inputs.get(p) for p in ['chart_type', 'x', 'y', 'z', 'group', 'agg'])
y = y or []
show_input = show_input_handler(chart_type)
show_cpg = show_chart_per_group(**inputs)
show_yaxis = show_yaxis_ranges(**inputs)
bar_style, barsort_input_style = bar_input_style(**inputs)
animate_style, animate_by_style, animate_opts = animate_styles(df, **inputs)
options = build_input_options(df, **inputs)
x_options, y_multi_options, y_single_options, z_options, group_options, barsort_options, yaxis_options = options
query_placeholder = (
"Enter pandas query (ex: col1 == 1)"
)
query_value = inputs.get('query') or inner_build_query(settings, settings.get('query'))
query_label = html.Div([
html.Span('Query'),
html.A(html.I(className='fa fa-info-circle ml-4'),
href='https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#indexing-query',
target='_blank', style={'color': 'white'})
], className='input-group-addon', style={'minWidth': '7em'})
yaxis_type = (inputs.get('yaxis') or {}).get('type') or 'default'
yaxis_type_style = {'borderRadius': '0 0.25rem 0.25rem 0'} if yaxis_type == 'default' else None
show_map = chart_type == 'maps'
map_props = ['map_type', 'loc_mode', 'loc', 'lat', 'lon', 'map_val']
map_type, loc_mode, loc, lat, lon, map_val = (inputs.get(p) for p in map_props)
map_scope, proj, mapbox_style = (inputs.get(p) for p in ['scope', 'proj', 'mapbox_style'])
loc_options, lat_options, lon_options, map_val_options = build_map_options(df, type=map_type, loc=loc, lat=lat,
lon=lon, map_val=map_val)
cscale_style = colorscale_input_style(**inputs)
default_cscale = 'Jet' if chart_type == 'heatmap' else 'Reds'
group_val_style, main_input_class = main_inputs_and_group_val_display(inputs)
group_val = [json.dumps(gv) for gv in inputs.get('group_val') or []]
def show_style(show):
return {'display': 'block' if show else 'none'}
def show_map_style(show):
return {} if show else {'display': 'none'}
return html.Div([
dcc.Store(id='query-data', data=inputs.get('query')),
dcc.Store(id='input-data', data={k: v for k, v in inputs.items() if k not in ['cpg', 'barmode', 'barsort']}),
dcc.Store(id='chart-input-data', data={k: v for k, v in inputs.items() if k in ['cpg', 'barmode', 'barsort']}),
dcc.Store(
id='map-input-data',
data={k: v for k, v in inputs.items() if k in ['map_type', 'map_code', 'lat', 'lon', 'map_val', 'scope',
'proj']}
),
dcc.Store(id='range-data'),
dcc.Store(id='yaxis-data', data=inputs.get('yaxis')),
dcc.Store(id='last-chart-input-data', data=inputs),
dcc.Input(id='chart-code', type='hidden'),
html.Div(html.Div(dcc.Tabs(
id='chart-tabs',
value=chart_type or 'line',
children=[build_tab(t.get('label', t['value'].capitalize()), t['value']) for t in CHARTS],
style=dict(height='36px')
), className='col-md-12'), className='row pt-3 pb-3 charts-filters'),
html.Div(html.Div([
html.Div([
query_label, dcc.Input(
id='query-input', type='text', placeholder=query_placeholder, className='form-control',
value=query_value, style={'lineHeight': 'inherit'})
], className='input-group mr-3')],
className='col'
), className='row pt-3 pb-3 charts-filters'),
html.Div(
[html.Div([
html.Div(
[
build_input(
[html.Div('X'), html.Small('(Agg By)')],
dcc.Dropdown(
id='x-dropdown',
options=x_options,
placeholder='Select a column',
value=x,
style=dict(width='inherit'),
),
label_class='input-group-addon d-block pt-1 pb-0'
),
build_input(
'Y',
dcc.Dropdown(
id='y-multi-dropdown',
options=y_multi_options,
multi=True,
placeholder='Select a column(s)',
style=dict(width='inherit'),
value=y if show_input('y', 'multi') else None
),
className='col',
id='y-multi-input',
style=show_style(show_input('y', 'multi'))
),
build_input(
[html.Div('Y'), html.Small('(Agg By)')],
dcc.Dropdown(
id='y-single-dropdown',
options=y_single_options,
placeholder='Select a column',
style=dict(width='inherit'),
value=y[0] if show_input('y') and len(y) else None
),
className='col',
label_class='input-group-addon d-block pt-1 pb-0',
id='y-single-input',
style=show_style(show_input('y'))
),
build_input('Z', dcc.Dropdown(
id='z-dropdown',
options=z_options,
placeholder='Select a column',
style=dict(width='inherit'),
value=z
), className='col', id='z-input', style=show_style(show_input('z'))),
build_input(
'Group',
dcc.Dropdown(
id='group-dropdown',
options=group_options,
multi=True,
placeholder='Select a group(s)',
value=group,
style=dict(width='inherit'),
),
className='col',
id='group-input',
style=show_style(show_input('group'))
)
],
id='non-map-inputs', style={} if not show_map else {'display': 'none'},
className='row p-0 charts-filters'
),
html.Div(
[
build_map_type_tabs(map_type),
html.Div(
[
html.Div(
[
build_loc_mode_hover(loc_mode),
dcc.Dropdown(
id='map-loc-mode-dropdown',
options=[build_option(v) for v in ["ISO-3", "USA-states", "country names"]],
style=dict(width='inherit'),
value=loc_mode
)
],
className='input-group mr-3',
)
],
id='map-loc-mode-input', style=show_map_style(map_type == 'choropleth'),
className='col-auto'
),
build_input(
[html.Div('Locations'), html.Small('(Agg By)')],
dcc.Dropdown(
id='map-loc-dropdown',
options=loc_options,
placeholder='Select a column',
value=loc,
style=dict(width='inherit'),
),
id='map-loc-input',
label_class='input-group-addon d-block pt-1 pb-0',
style=show_map_style(map_type == 'choropleth')
),
build_input(
[html.Div('Lat'), html.Small('(Agg By)')],
dcc.Dropdown(
id='map-lat-dropdown',
options=lat_options,
placeholder='Select a column',
value=lat,
style=dict(width='inherit'),
),
id='map-lat-input',
label_class='input-group-addon d-block pt-1 pb-0',
style=show_map_style(map_type in ['scattergeo', 'mapbox'])
),
build_input(
[html.Div('Lon'), html.Small('(Agg By)')],
dcc.Dropdown(
id='map-lon-dropdown',
options=lon_options,
placeholder='Select a column',
style=dict(width='inherit'),
value=lon
),
id='map-lon-input',
label_class='input-group-addon d-block pt-1 pb-0',
style=show_map_style(map_type in ['scattergeo', 'mapbox'])
),
build_input('Scope', dcc.Dropdown(
id='map-scope-dropdown',
options=[build_option(v) for v in SCOPES],
style=dict(width='inherit'),
value=map_scope or 'world'
), id='map-scope-input', style=show_map_style(map_type == 'scattergeo')),
html.Div(
[
html.Div(
[
build_mapbox_token_hover(),
dcc.Dropdown(
id='map-mapbox-style-dropdown',
options=build_mapbox_style_options(),
style=dict(width='inherit'),
value=mapbox_style or 'open-street-map'
)
],
className='input-group mr-3',
)
],
id='map-mapbox-style-input', className='col-auto',
style=show_map_style(map_type == 'mapbox')
),
html.Div(
[
html.Div(
[
build_proj_hover(proj),
dcc.Dropdown(
id='map-proj-dropdown',
options=[build_option(v) for v in PROJECTIONS],
style=dict(width='inherit'),
value=proj
)
],
className='input-group mr-3',
)
],
id='map-proj-input', style=show_map_style(map_type == 'scattergeo'), className='col-auto'
),
build_input('Value', dcc.Dropdown(
id='map-val-dropdown',
options=map_val_options,
placeholder='Select a column',
style=dict(width='inherit'),
value=map_val
)),
build_input(
'Group',
dcc.Dropdown(
id='map-group-dropdown',
options=group_options,
multi=True,
placeholder='Select a group(s)',
value=inputs.get('map_group'),
style=dict(width='inherit'),
),
className='col',
id='map-group-input'
)
],
id='map-inputs', className='row pt-3 pb-3 charts-filters',
style={} if show_map else {'display': 'none'}
),
html.Div([
build_input('Aggregation', dcc.Dropdown(
id='agg-dropdown',
options=[build_option(v, AGGS[v]) for v in ['raw', 'count', 'nunique', 'sum', 'mean', 'rolling',
'corr', 'first', 'last', 'median', 'min', 'max',
'std', 'var', 'mad', 'prod', 'pctsum', 'pctct']],
placeholder='Select an aggregation',
style=dict(width='inherit'),
value=agg or 'raw',
)),
html.Div([
build_input('Window', dcc.Input(
id='window-input', type='number', placeholder='Enter days',
className='form-control text-center', style={'lineHeight': 'inherit'},
value=inputs.get('window')
)),
build_input('Computation', dcc.Dropdown(
id='rolling-comp-dropdown',
options=[
build_option('corr', 'Correlation'),
build_option('count', 'Count'),
build_option('cov', 'Covariance'),
build_option('kurt', 'Kurtosis'),
build_option('max', 'Maximum'),
build_option('mean', 'Mean'),
build_option('median', 'Median'),
build_option('min', 'Minimum'),
build_option('skew', 'Skew'),
build_option('std', 'Standard Deviation'),
build_option('sum', 'Sum'),
build_option('var', 'Variance'),
],
placeholder='Select an computation',
style=dict(width='inherit'), value=inputs.get('rolling_comp')
))
], id='rolling-inputs', style=show_style(agg == 'rolling'))
], className='row pt-3 pb-3 charts-filters'),
html.Div(
[
build_input('Chart Per\nGroup',
html.Div(daq.BooleanSwitch(id='cpg-toggle', on=inputs.get('cpg') or False),
className='toggle-wrapper'),
id='cpg-input', style=show_style(show_cpg), className='col-auto'),
build_input('Barmode', dcc.Dropdown(
id='barmode-dropdown',
options=[
build_option('group', 'Group'),
build_option('stack', 'Stack'),
build_option('relative', 'Relative'),
],
value=inputs.get('barmode') or 'group',
placeholder='Select a mode',
), className='col-auto addon-min-width', style=bar_style, id='barmode-input'),
build_input('Barsort', dcc.Dropdown(
id='barsort-dropdown', options=barsort_options, value=inputs.get('barsort')
), className='col-auto addon-min-width', style=barsort_input_style, id='barsort-input'),
html.Div(
html.Div(
[
html.Span('Y-Axis', className='input-group-addon'),
html.Div(
dcc.Tabs(
id='yaxis-type',
value=yaxis_type,
children=get_yaxis_type_tabs(y),
),
id='yaxis-type-div',
className='form-control col-auto pt-3',
style=yaxis_type_style
),
dcc.Dropdown(id='yaxis-dropdown', options=yaxis_options),
html.Span('Min:', className='input-group-addon col-auto', id='yaxis-min-label'),
dcc.Input(
id='yaxis-min-input', type='number', className='form-control col-auto',
style={'lineHeight': 'inherit'}
),
html.Span('Max:', className='input-group-addon col-auto', id='yaxis-max-label'),
dcc.Input(
id='yaxis-max-input', type='number', className='form-control col-auto',
style={'lineHeight': 'inherit'}
)
],
className='input-group', id='yaxis-min-max-options',
),
className='col-auto addon-min-width', id='yaxis-input',
style=show_style(show_yaxis)
),
build_input('Colorscale', dcc.Dropdown(
id='colorscale-dropdown', options=[build_option(o) for o in COLORSCALES],
value=inputs.get('colorscale') or default_cscale
), className='col-auto addon-min-width', style=cscale_style, id='colorscale-input'),
build_input(
'Animate',
html.Div(daq.BooleanSwitch(id='animate-toggle', on=inputs.get('animate') or False),
className='toggle-wrapper'),
id='animate-input',
style=animate_style,
className='col-auto'
),
build_input('Animate By', dcc.Dropdown(
id='animate-by-dropdown', options=animate_opts,
value=inputs.get('animate_by')
), className='col-auto addon-min-width', style=animate_style, id='animate-by-input'),
],
className='row pt-3 pb-5 charts-filters', id='chart-inputs'
)],
id='main-inputs', className=main_input_class
), build_input('Group(s)', dcc.Dropdown(
id='group-val-dropdown',
multi=True,
placeholder='Select a group value(s)',
value=group_val,
style=dict(width='inherit'),
), className='col-md-4 pt-3 pb-5', id='group-val-input', style=group_val_style)],
className='row'
),
dcc.Loading(html.Div(id='chart-content', style={'height': '69vh'}), type='circle'),
dcc.Textarea(id="copy-text", style=dict(position='absolute', left='-110%'))
], className='charts-body')