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simple interactive dash charts host done #20

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Feb 11, 2022
Merged

simple interactive dash charts host done #20

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45 changes: 45 additions & 0 deletions dash_host.py
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Original file line number Diff line number Diff line change
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import dash
import dash_html_components as html
import dash_core_components as dcc
import plotly.express as px

from analyzer import Analyzer

def dash_host(df):
app = dash.Dash(__name__)

fig_networth = px.line(df, x="Time", y=['Networth'], title='Fund Porfolio Growth(USD)')
# fig_networth.update_layout(xaxis = dict(title='Date', tickmode='array', tickvals= list(range(len(df))), ticktext=list(df.Time)))
fig_btc_price = px.line(df, x="Time", y=['BTC_price'], title='BTC Price(USD)')

fig_daily_token_return = px.line(df, x="Time", y=["BTC_daily_token_return_value","USDT_daily_token_return_value","GBP_daily_token_return_value"], title="Daily Token Return Value(USD)")
fig_daily_return = px.bar(df, x="Time", y=["BTC_daily_return_value","USDT_daily_return_value","GBP_daily_return_value"], title="Daily Return Value(USD)")
fig_daily_return_line = px.line(df, x="Time", y=["BTC_daily_return_value","USDT_daily_return_value","GBP_daily_return_value"], title="Daily Return Value(USD)")
fig_accumulative_return = px.line(df, x="Time", y=["BTC_accumulative_return","USDT_accumulative_return","GBP_accumulative_return"], title="Accumulative Return Value(USD)")
fig_btc_value = px.line(df, x='Time', y=["BTC_value"], title="Total Value in BTC Pools(USD)")
fig_usdt_value = px.line(df, x='Time', y=["USDT_value"], title="Total Value in USDT Pools(USD)")
fig_gbp_value = px.line(df, x='Time', y=["GBP_value"], title="Total Value in GBP Pools(USD)")

app.layout = html.Div(
[
# html.H2('Fund Porfolio Growth(USD)'),
dcc.Graph(figure=fig_networth),
# html.H2('BTC Price(USD)'),
dcc.Graph(figure=fig_btc_price),
# html.H2('Daily Return Value(USD)'),
dcc.Graph(figure=fig_daily_token_return),
dcc.Graph(figure=fig_daily_return),
dcc.Graph(figure=fig_daily_return_line),
dcc.Graph(figure=fig_accumulative_return),
dcc.Graph(figure=fig_btc_value),
dcc.Graph(figure=fig_usdt_value),
dcc.Graph(figure=fig_gbp_value),
]
)
app.run_server(host='localhost', port=5102)

if __name__ == '__main__':
analyzer = Analyzer()
result_df = analyzer.process_data()
print(result_df)
dash_host(result_df)