def render_output_city(name, dd):
bool_val = True
if dd == 'big_df':
bool_val = False
data = Data()
var = "Casablanca"
if name == "Type Of Customer":
li = data.get_types()
var = 'A'
else:
li = data.get_cities()
panel = html.Div([
dbc.FormGroup([
dcc.Dropdown(id="drop_city_type",
options=[{
"label": x,
"value": x
} for x in li],
value=var,
disabled=bool_val)
])
])
return panel
def render_output_column(dd):
data = Data()
bool_val = True
if dd == 'big_df':
bool_val = False
panel = html.Div([
dbc.FormGroup([
dcc.Dropdown(id="name_group_id",
options=[{
"label": x,
"value": x
} for x in data.get_names_groupe()],
value="City",
disabled=bool_val)
])
])
return panel
def main():
loop = True
while loop:
print("Choose an option:")
print("0. Text to Morse")
print("1. Morse to Text")
print("2. Exit")
option = input()
try:
if option == "0":
print("Enter text:")
my_input = input()
data = Data(my_input, False)
print_info(data)
elif option == "1":
print("Enter morse:")
my_input = input()
data = Data(my_input, True)
print_info(data)
else:
loop = False
except Exception as e:
print(e)
###############################################################################
# Setup
import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
from settings import config, about
from python.data import Data
from python.model import Model
from python.result import Result
# Read data
data = Data()
data.get_data()
# App Instance
app = dash.Dash(name=config.name,
assets_folder=config.root + "/application/static",
external_stylesheets=[dbc.themes.LUX, config.fontawesome])
app.title = config.name
# Navbar
navbar = dbc.Nav(
className="nav nav-pills",
children=[
## logo/home
#dbc.NavItem(html.Img(src=app.get_asset_url("logo.PNG"), height="40px")),
dbc.NavItem(html.Img(src=app.get_asset_url("logo2.png"),
def plot_pie(customer):
data = Data()
df = data.get_product_customer().groupby('CUST_NAME')
df_cust = df.get_group(customer)
chart = Chart()
return chart.plot_pie(df_cust, customer)
def render_cluster_plots_products(name, filtre):
data = Data()
df = data.get_product_data(name)
chart = Chart()
return chart.plot_time_series(df, filtre)
###############################################################################
# Setup
import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
from settings import config, about
from python.process import Process
from python.data import Data
from python.charts import Chart
# from python.model import Model
data = Data()
data.get_data()
# App Instance
app = dash.Dash(name=config.name,
assets_folder=config.root + "/application/static",
external_stylesheets=[dbc.themes.LUX, config.fontawesome])
app.title = config.name
# Navbar
navbar = dbc.Nav(
className="nav nav-pills",
children=[
## logo/home
#dbc.NavItem(html.Img(src=app.get_asset_url("dralyze.png"), height="70px")),
## about