Hey everybody!
Is there a way to transfer the current position of the window to the callback or make an event if the user has reached the start value of figure for loading data?
What I have now:
import datetime as dt
import time
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.graph_objects as go
from dash.dependencies import Output, Input
from dateutil.relativedelta import relativedelta
from django_plotly_dash import DjangoDash
inc_color = '#15aaba'
dec_color = '#7F7F7F'
config = {
'scrollZoom': True,
'displayModeBar': True,
'displaylogo': False,
'responsive': True,
'modeBarButtonsToRemove': ['toImage',
'select2d',
'lasso2d',
'resetScale2d',
'hoverCompareCartesian',
'hoverClosestCartesian',
'toggleSpikelines',
],
}
ohlc = DjangoDash('Plot',
add_bootstrap_links=True)
mn = (dt.datetime.today() - relativedelta(days=12)).strftime('%Y%m%d')
mx = dt.datetime.today().strftime('%Y%m%d')
daterange = pd.date_range(start=mn, end=mx, freq='D')
def unix_time_millis(date):
""" Convert datetime to unix timestamp """
return int(time.mktime(date.timetuple()))
def unix_to_datetime(unix):
""" Convert unix timestamp to datetime. """
return pd.to_datetime(unix, unit='s')
def get_marks(start, end):
""" Returns the marks for labeling.
Every Nth value will be used.
"""
result = {}
for i, date in enumerate(daterange):
# Append value to dict
result[unix_time_millis(date)] = str(date.strftime('%Y-%m-%d'))
return result
def generate_layout():
return html.Div([
dcc.Graph(id='graph',
animate=True,
config=config),
dcc.RangeSlider(id='graph-range-slider',
min=unix_time_millis(daterange.min()),
max=unix_time_millis(daterange.max()),
value=[unix_time_millis(daterange.max())],
marks=get_marks(daterange.min(),
daterange.max()),
step=1,
updatemode='drag',
allowCross=False),
html.Div(id='data-frame',
style={'display': 'none'}),
])
ohlc.layout = generate_layout()
@ohlc.expanded_callback(Output('graph', 'figure'),
[Input('data-frame', 'children')],
)
def load_graph(*args, **kwargs):
df = pd.read_json(kwargs['session_state']['django_to_dash_context'], orient='split')
return go.Figure(
data=[go.Candlestick(
x=df['x_axis'],
open=df['open'], high=df['high'], low=df['low'], close=df['close'],
increasing_line_color=inc_color, decreasing_line_color=dec_color,
)],
layout=dict(
xaxis=dict(
autorange=True,
rangeslider=dict(
visible=False,
),
),
yaxis=dict(
overlaying="y",
side="right",
position=1, # An int or float in the interval [0, 1]
tickformat=".2f",
ticksuffix="₽",
),
margin=dict(
t=0, b=0, r=40, l=0
),
autosize=False,
hovermode='x',
dragmode='pan',
),
)
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