Py.Cafe
Dash Color Selector
- app.py
- exchange_rates.csv
- requirements.txt
app.py
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import dash
from dash import dcc, html
from dash.dependencies import Output, Input
import dash_bootstrap_components as dbc
import plotly.express as px
import pandas as pd
from datetime import timedelta
COLORS = {
"EUR/HUF": "#2ecc71",
"USD/HUF": "#3498db",
"GBP/HUF": "#e74c3c",
}
# Read data from CSV
data = pd.read_csv("exchange_rates.csv", parse_dates=["DateTime"])
data = data.dropna()
# Debug: print actual columns
print("CSV columns:", list(data.columns))
print("CSV shape:", data.shape)
print("First row:", data.iloc[0].to_dict())
# Detect available pairs from CSV columns (everything except DateTime)
PAIRS = [col for col in data.columns if col != "DateTime"]
print("Detected pairs:", PAIRS)
# Get latest rates
latest = data.iloc[-1]
latest_date = latest["DateTime"].strftime("%Y.%m.%d")
# Initial plot
fig = px.line(
data,
title="Exchange Rates",
x="DateTime",
y=[PAIRS[0]],
color_discrete_map={PAIRS[0]: COLORS.get(PAIRS[0], "#ffffff")}
)
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.DARKLY])
app.title = "Exchange Rates"
server = app.server
app.index_string = '''<!DOCTYPE html>
<html>
<head>{%metas%}{%favicon%}{%css%}
<style>
body {
background-color: transparent !important;
}
#date-range input,
#date-range .DateInput_input {
color: black !important;
background-color: white !important;
}
</style>
</head>
<body>{%app_entry%}{%config%}{%scripts%}{%renderer%}</body>
</html>'''
app.layout = html.Div(
style={
"background": "linear-gradient(180deg, #000000 0%, #e67e22 100%)",
"minHeight": "100vh",
"padding": "2px 100px",
"--Dash-Fill-Interactive-Strong": "black",
},
children=[dbc.Container(
fluid=True,
children=[
dbc.Row(
dbc.Col(
[
html.H1("Exchange Rates", className="text-white mt-3"),
html.P(
["Live currency exchange rates", html.Br(), "from Yahoo Finance"],
className="text-white-50",
),
]
),
className="mb-3",
),
dbc.Row(
[
dbc.Col(
dbc.Card(
dbc.CardBody([
dbc.Label("Currency Pair", className="text-white"),
dcc.Dropdown(
id="currency-filter",
options=[{"label": pair, "value": pair} for pair in PAIRS],
clearable=False,
value=PAIRS[0],
style={"color": "black", "width": "50%"},
),
]),
color="dark",
),
md=4,
),
dbc.Col(
dbc.Card(
dbc.CardBody([
dbc.Label("Date Range", className="text-white"),
html.Div(
dcc.DatePickerRange(
id="date-range",
min_date_allowed=data.DateTime.min().date(),
max_date_allowed=data.DateTime.max().date(),
start_date=data.DateTime.min().date(),
end_date=data.DateTime.max().date(),
style={"color": "black"},
),
style={"width": "50%"},
),
]),
color="dark",
),
md=8,
),
],
className="mb-3",
),
dbc.Row(
dbc.Col(
html.Div(
[
html.Span(f"{latest_date}", className="text-muted me-3"),
] + [
html.Span([
html.Span(f"{pair}: ", style={"color": COLORS.get(pair, "#fff"), "fontWeight": "bold"}),
html.Span(f"{latest[pair]:.2f} HUF", className="text-white me-4"),
]) for pair in PAIRS
],
)
),
className="mb-3",
),
dbc.Row(
dbc.Col(
dbc.ButtonGroup([
dbc.Button("1W", id="btn-1w", n_clicks=0, color="secondary", size="sm"),
dbc.Button("1M", id="btn-1m", n_clicks=0, color="secondary", size="sm"),
dbc.Button("3M", id="btn-3m", n_clicks=0, color="secondary", size="sm"),
dbc.Button("6M", id="btn-6m", n_clicks=0, color="secondary", size="sm"),
dbc.Button("1Y", id="btn-1y", n_clicks=0, color="secondary", size="sm"),
dbc.Button("Max", id="btn-max", n_clicks=0, color="secondary", size="sm"),
dbc.Button("All Pairs", id="btn-all", n_clicks=0, color="success", size="sm"),
]),
),
className="mb-3",
),
dbc.Row(
dbc.Col(
dbc.Card(
dcc.Graph(
id="rate-chart",
figure=fig,
config={"displayModeBar": False},
),
color="dark",
),
),
),
],
)]
)
@app.callback(
Output("date-range", "start_date"),
Output("date-range", "end_date"),
Input("btn-1w", "n_clicks"),
Input("btn-1m", "n_clicks"),
Input("btn-3m", "n_clicks"),
Input("btn-6m", "n_clicks"),
Input("btn-1y", "n_clicks"),
Input("btn-max", "n_clicks"),
prevent_initial_call=True,
)
def update_date_range(w1, m1, m3, m6, y1, mx):
ctx = dash.callback_context
button_id = ctx.triggered[0]["prop_id"].split(".")[0]
end = data.DateTime.max().date()
offsets = {
"btn-1w": timedelta(weeks=1),
"btn-1m": timedelta(days=30),
"btn-3m": timedelta(days=90),
"btn-6m": timedelta(days=180),
"btn-1y": timedelta(days=365),
}
if button_id in offsets:
start = end - offsets[button_id]
else:
start = data.DateTime.min().date()
return start, end
@app.callback(
Output("rate-chart", "figure"),
Input("currency-filter", "value"),
Input("date-range", "start_date"),
Input("date-range", "end_date"),
Input("btn-all", "n_clicks"),
)
def update_chart(pair, start_date, end_date, all_clicks):
ctx = dash.callback_context
triggered = ctx.triggered[0]["prop_id"].split(".")[0] if ctx.triggered else ""
filtered_data = data.loc[(data.DateTime >= start_date) & (data.DateTime <= end_date)]
if triggered == "btn-all":
y_cols = list(PAIRS)
else:
y_cols = [pair]
fig = px.line(
filtered_data,
title="Exchange Rates",
x="DateTime",
y=y_cols,
color_discrete_map=COLORS,
)
annotations = []
for col in y_cols:
if len(filtered_data) > 0:
last_val = filtered_data[col].iloc[-1]
last_dt = filtered_data["DateTime"].iloc[-1]
annotations.append(dict(
x=last_dt, y=last_val,
text=f" {last_val:.2f}",
showarrow=False,
font=dict(color=COLORS.get(col, "#fff"), size=14, family="Verdana"),
xanchor="left",
))
fig.update_layout(
template="plotly_dark",
xaxis_title="Date",
yaxis_title="HUF",
font=dict(
family="Verdana, sans-serif",
size=18,
color="white"
),
annotations=annotations,
)
return fig
if __name__ == "__main__":
app.run(debug=True)