import warnings
warnings.simplefilter(action="ignore")
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import dash_bootstrap_components as dbc
import pandas as pd
import plotly.graph_objs as go
import plotly.express as px
from jupyterlab_dash import AppViewer
viewer = AppViewer()
import fbprophet
project_id = "cp-gaa-visualization-dev"
host = '0.0.0.0'
def query_table(sql_query):
return pandas_gbq.read_gbq(sql_query, project_id=project_id)
def prep_data_for_tsmodel(data):
data = data.groupby(['product_title', 'start_date'],
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Output, Input, State
from dash.exceptions import PreventUpdate
import datetime
import multiprocessing as mp
import base64
import pandas as pd
import io
import json
from astropy.io import fits
import traceback
import dash_table
process_manager = mp.Manager()
jupyter_viewer = AppViewer()
styles = {'pre': {'border': 'thin lightgrey solid', 'overflowX': 'scroll'}}
# create global variable only for use inside jupyter
app_data = process_manager.dict()
debug_data = process_manager.dict()
class Viewer():
# app_data = {}
def __init__(self, as_website=False):
# global app_data
# global fig
self.as_website = as_website
print("first " + str(self.as_website))
def show_jupyter_app(self):
jupyter_viewer = AppViewer()
self.show_app()
jupyter_viewer.show(app)
import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import dash_table
import pandas as pd
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
# Build AppViewer
from jupyterlab_dash import AppViewer
viewer = AppViewer(port=8000)
colors = {
"graphBackground": "#F5F5F5",
"background": "#ffffff",
"text": "#000000"
}
app.layout = html.Div([
dcc.Upload(
id='upload-data',
children=html.Div(['Drag and Drop or ',
html.A('Select Files')]),
style={
'width': '100%',
'height': '60px',
subtitle="Only occupations with at least 20,000 workers total",
color="Minor category",
)
# scale_x_continuous(labels = percent_format()) +
# scale_y_continuous(labels = percent_format())
)
jobs_gender = pd.read_csv(
"https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-03-05/jobs_gender.csv"
)
# Build AppViewer
from jupyterlab_dash import AppViewer
viewer = AppViewer()
# +
# Build App
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.layout = html.Div([
html.Div([
html.Div(
[
dcc.Dropdown(id='major-column',
options=[{
'label': i,
'value': i
} for i in jobs_gender.major_category.unique()],
@app.callback(Output('hover-data', 'children'),
[Input('basic-interactions', 'hoverData')])
def display_hover_data(hoverData):
return json.dumps(hoverData, indent=2)
@app.callback(Output('click-data', 'children'),
[Input('basic-interactions', 'clickData')])
def display_click_data(clickData):
return json.dumps(clickData, indent=2)
@app.callback(Output('selected-data', 'children'),
[Input('basic-interactions', 'selectedData')])
def display_selected_data(selectedData):
return json.dumps(selectedData, indent=2)
@app.callback(Output('relayout-data', 'children'),
[Input('basic-interactions', 'relayoutData')])
def display_relayout_data(relayoutData):
return json.dumps(relayoutData, indent=2)
jupyter_viewer = AppViewer()
jupyter_viewer.show(app)
if __name__ == '__main__':
app.run_server(debug=True)