myapp_1_dataprep.py

# -*- coding: utf-8 -*-

# 1.0 Imports
import dash
from dash import dcc
from dash import html

from dash.dependencies import Output
from dash.dependencies import Input

import plotly.express as px
import dash_bootstrap_components as dbc

import os
import pandas as pd
import random


# 1.1 Read in data
data_fol = "assets/data/"

wc_date_df = pd.read_csv(data_fol + "date_df.csv", sep=",",  encoding="utf8")
wc_month_df = pd.read_csv(data_fol + "month_df.csv", sep=",",  encoding="utf8")
wc_year_df = pd.read_csv(data_fol + "year_df.csv", sep=",",  encoding="utf8")

# get a df sorted by word count. Is useful to only to this once here and 
# reuse below whenever eg. only 1000 words are necesary
wc_date_df["word_len"] = wc_date_df["word"].str.len()
words = wc_date_df.groupby(["word", "word_len"]
                           )["word_cnt_page"].sum().reset_index().sort_values(
                               ["word_len", "word"], ascending=True)["word"]


# 1.2 load external / dbc stylesheets. Not necessary but its an option 
external_stylesheets = [
    {  "href": "https://fonts.googleapis.com/css2?"
                "family=Lato:wght@400;700&display=swap",
        "rel": "stylesheet",
    },
    dbc.themes.BOOTSTRAP
]

# 1.3 initiate the app
app = dash.Dash(__name__, 
                external_stylesheets=external_stylesheets,
                suppress_callback_exceptions=True, # sometimes callbacks dont work which is intended behaviour. 
                                                   #This suppresses those notifications
                )

app.title = "My Dashboard!" # name to be dislplayed eg in browser tab