Philipp/aki_prj23_transparenzregister
Philipp/aki_prj23_transparenzregister
1
0
Fork 0
mirror of https://github.com/fhswf/aki_prj23_transparenzregister.git synced 2025-04-24 16:52:34 +02:00
Code Issues Packages Projects Releases Wiki Activity

Viz: Company stats (#64)

Browse Source 
First connection to Postgres database and creating dashboard with
dropdown and table

---------

Co-authored-by: Tim <tim.ronneburg@outlook.de>
Co-authored-by: Philipp Horstenkamp <philipp@horstenkamp.de>
Co-authored-by: Sebastian <94404394+SeZett@users.noreply.github.com>
This commit is contained in:
KM-R 2023-08-21 21:30:19 +02:00 committed by GitHub
parent 82979b1981
commit ba30ba2cc5
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 24 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

29
src/aki_prj23_transparenzregister/ui/company_stats_dash.py
View File

@ -1,9 +1,8 @@
"""Dash."""
import pandas as pd
from dash import Dash, dash_table
from dash import Dash, Input, Output, callback, dash_table, dcc, html
# from ..utils.postgres.connector import get_engine, init_db
from aki_prj23_transparenzregister.utils.postgres import entities
from aki_prj23_transparenzregister.utils.postgres.connector import (
get_session,
@ -16,9 +15,29 @@ if __name__ == "__main__":
companies_df: pd.DataFrame = pd.read_sql(str(query), session.bind) # type: ignore
app = Dash(__name__)
app.layout = dash_table.DataTable(
companies_df.to_dict("records"),
[{"name": i, "id": i} for i in companies_df.columns],
app.layout = html.Div(
[
html.H1(children="Company Data", style={"textAlign": "center"}),
html.Div(
[
dcc.Dropdown(
companies_df.company_name.unique(),
"Firma 1",
id="dropdown-selection",
),
]
),
html.Div(id="data_table"),
]
)
@callback(Output("data_table", "children"), Input("dropdown-selection", "value"))
def display_table(value: str) -> dash_table:
"""Output table with company stats based on dropdown value."""
dff = companies_df[companies_df.company_name == value]
return dash_table.DataTable(
data=dff.to_dict("records"),
columns=[{"id": c, "name": c} for c in companies_df.columns],
)
app.run(debug=True)