dcc.Input(
id='num-iter',
type='number',
value=50
)
]
),
html.Br(),
html.H5('Filter data by POS tags'),
html.Br(),
html.Div(
children=[
# Dash Dropdown component for selecting the tags for filtering the data
dcc.Dropdown(
id='tags-filter',
options = data_parser.get_pos_list(),
value=['NN1'],
multi=True
)
]
),
html.Br(),
html.H5('Filter by metadata'),
html.Br(),
html.Div(
children=[
'Select letters based on the sex of the sender: ',
# Dash RadioItems component for selecting the sex of the sender
# for filtering the data
dcc.RadioItems(
id='gender-filter',
import pandas as pd
import pyLDAvis
import pyLDAvis.gensim
from app import app
from topic_model import TopicModel
from data_parser import DataParser
data_parser = DataParser()
tm = TopicModel()
df = data_parser.letters_to_df()
pos_counts = data_parser.get_pos_counts()
rank_set, rank_list = data_parser.get_rank()
rel_set, rel_list = data_parser.get_relationship()
years_set = data_parser.get_years()
pos_tags = data_parser.get_pos_list()
# Callback for the slider element
@app.callback(
Output('slider-output', 'children'
), # Modified string with the years is passed to the Div-element
Output(
'slider-values', 'value'
), # Unmodified list of the selected years is passed to the next callback
Input('time-slider', 'value'))
def set_cities_options(selected_years):
years = 'Selected period: {start} - {end}'.format(start=selected_years[0],
end=selected_years[1])
return years, selected_years
import os
import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
from plotly.subplots import make_subplots
import pandas as pd
from data_parser import DataParser
data_parser = DataParser()
wc_fig = data_parser.get_wc_fig()
pos_list = data_parser.get_pos_list()
layout1 = html.Div([
html.Nav(
className ='navbar navbar-expand-lg navbar-dark bg-primary',
children=[
html.H1(className='navbar-brand', children='Data Science Project: Language variation')]
),
html.H2('POS tag visualisation'),
dcc.Link('Topic model', href='/app/topicmodel'),
dcc.Tab(children=[
dcc.Tabs([
dcc.Tab(label='Scatter',
children=[
# Simple word count graph
html.Div(
children=[
dcc.Graph(
id='word-count-graph',
