app.py

import dash
import dash_html_components as html
import dash_core_components as dcc
import plotly.graph_objs as go

import pandas

rrna_operons = ("rrsA-ileT-alaT-rrlA-rrfA", "rrsB-gltT-rrlB-rrfB", "rrsC-gltU-rrlC-rrfC", "rrsD-ileU-alaU-rrlD-rrfD-thrV-rrfF", "rrsE-gltV-rrlE-rrfE", "rrsG-gltW-rrlG-rrfG", "rrsH-ileV-alaV-rrlH-rrfH")
colors = ['rgb(67,67,67)', 'rgb(115,115,115)', 'rgb(49,130,189)', 'rgb(189,189,189)', 'rgb(67,67,67)', 'rgb(115,115,115)', 'rgb(49,130,189)']
df = pandas.read_parquet('2018-11-26-0-04_pa.parquet', engine='pyarrow')
operons = pandas.read_csv("data/operons.csv", names=['name', 'left', 'right', 'direction'])
#hoge = df[["mrna." + operon[0] for operon in operons.as_matrix() if operon[0] not in rrna_operons]].as_matrix().sum(axis=1)
fig1 = df[["mrna." + operon for operon in rrna_operons]]

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']


app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.layout = html.Div([
#    html.Label('plottypeDropdown'),
    dcc.Graph(id='graph-line'),
    dcc.Dropdown(
        id='plottype-column',
        options=[
            {'label': 'timecourse', 'value': 'TC'},
            {'label': 'San Francisco', 'value': 'SF'}
        ],
        value='TC'
    ),

#    html.Label('biotypeDropdown'),
    dcc.Dropdown(
        id='biotype-column',
        options=[
            {'label': 'operon', 'value': 'OPERON'},
            {'label': 'foobar', 'value': 'FOOBAR'}
        ],
        value='OPERON'
    ),
    html.Div(id='output-container')
])
#], style={'columnCount': 2})


@app.callback(
    dash.dependencies.Output('graph-line', 'figure'),
    [dash.dependencies.Input('plottype-column', 'value'),
     dash.dependencies.Input('biotype-column', 'value')])
def update_output(plottype_column_name, biotype_column_name):
    traces = []

    # The number of operons containing ribosomal RNA fig1
    for i in range(0,7):
        traces.append(go.Scatter(
            x = fig1.index.values,
            y = fig1.iloc[:,i].values,
            text=i,
            mode="lines",
            name=rrna_operons[i]
        ))

    # The total number of mRNA excepting rRNAs
    # traces.append(go.Scatter(
    #     x=list(range(len(hoge))),
    #     y=hoge.astype(int),
    #     text="hoge",
    #     mode="lines",
    #     name="foo"
    #     ))
    return {
        'data': traces,
        'layout': go.Layout(
            title= 'The number of operons containing ribosomal RNA',
            xaxis={'title': 'Time'},
            yaxis={'title': 'The number of molecules'},
            legend={'x':0.2, 'y':0.1},
            hovermode='closest'
        )
    }

# for i in df.column:
#     traces.append(go.Scatter(
#         x=df[i].index,
#         y=df[i],
#         mode='lines',
#         line=dict(color='rgb(67,67,67)', width=4),
#         connectgaps=True,
#     ))

    #return 'You have selected "{}"'.format(plottype_column_name + ", " + biotype_column_name)


if __name__ == '__main__':
#    app.run_server(debug=True, host='0.0.0.0')
    app.run_server(debug=True)