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Commit 25356df7 authored by Subrahmanyam Pottimurthi's avatar Subrahmanyam Pottimurthi
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Revert "Dummy dataset Vis tech2 with plots" 

This reverts commit 9c734169
parent 1f1b9aa3
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idv1.txt deleted 100644 → 0
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− 9
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Date InfectedCases C1_School closing C2_Workplace closing C3_Cancel public events C4_Restrictions on gatherings C5_Close public transport C6_Stay at home requirements C7_Restrictions on internal movement, C8_International travel controls
2020-04-01 100,00 0 0 0 0 0 0 0 0
2020-04-02 1000,00 0 0 0 0 0 0 0 0
2020-04-03 10000,00 0 0 0 0 0 3 0 0
2020-04-04 50000,00 0 0 0 4 2 3 2 0
2020-04-05 25000,00 3 0 0 4 2 3 2 2
2020-04-06 10000,00 3 2 2 4 2 2 2 4
2020-04-07 5000,00 3 3 2 0 0 2 2 4
2020-04-08 2000,00 3 3 0 0 0 2 2 4
plots.py deleted 100644 → 0
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import numpy as np
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd
def plotFun(selectionList):
data_idv = pd.read_csv('idv1.txt', sep='\t')
line = data_idv.iloc[:, 0:2]
data_idv = data_idv.set_index('Date')
# data_idv
data_idv = data_idv.iloc[:, 1:]
data_idv = data_idv.astype(int)
data_idv = data_idv.transpose()
# data_idv
policy = data_idv.index
dates = data_idv.columns
dates = np.array(dates)
# print(dates)
if selectionList:
policy = np.array(selectionList)
else:
policy = np.array(policy)
# print(policy)
df = pd.read_csv('idv1.txt', sep='\t')
# Create figure with secondary y-axis
fign = make_subplots(specs=[[{"secondary_y": True}]])
# Add traces
fign.add_trace(
go.Scatter(x=df['Date'], y=df['InfectedCases'], name="Infected Cases"),
secondary_y=False,
)
fign.add_trace(
go.Heatmap(
z=data_idv,
x=dates,
y=policy,
colorscale='Viridis'),
secondary_y=True,
)
# Add figure title
fign.update_layout(
title_text="Double Y Axis Example"
)
# fign.update_layout(barmode='stack')
# Set x-axis title
fign.update_xaxes(title_text="xaxis title")
# Set y-axes titles
fign.update_yaxes(title_text="<b>primary</b> yaxis title", secondary_y=False)
fign.update_yaxes(title_text="<b>secondary</b> yaxis title", secondary_y=True)
# Add range slider
fign.update_layout(
xaxis=dict(
rangeselector=dict(
buttons=list([
dict(count=1,
label="1m",
step="month",
stepmode="backward"),
dict(count=6,
label="6m",
step="month",
stepmode="backward"),
dict(count=1,
label="YTD",
step="year",
stepmode="todate"),
dict(count=1,
label="1y",
step="year",
stepmode="backward"),
dict(step="all")
])
),
rangeslider=dict(
visible=True
),
type="date"
)
)
# fign.show()
return fign
if __name__ == '__main__':
plotFun()
\ No newline at end of file
tabs-content.py deleted 100644 → 0
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import dash
import dash_html_components as html
import dash_core_components as dcc
import plots
import pandas as pd
import numpy as np
from dash.dependencies import Input, Output
data_idv = pd.read_csv('idv1.txt', sep='\t')
line = data_idv.iloc[:, 0:2]
data_idv = data_idv.set_index('Date')
data_idv
data_idv = data_idv.iloc[:, 1:]
data_idv = data_idv.astype(int)
data_idv = data_idv.transpose()
data_idv
policy = data_idv.index
dates = data_idv.columns
dates = np.array(dates)
print(dates)
policy = np.array(policy)
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.layout = html.Div([
html.Div([
dcc.Tabs([
dcc.Tab(label='Tab one', children=[
dcc.Graph(
figure={
'data': [
{'x': [1, 2, 3], 'y': [4, 1, 2],
'type': 'bar', 'name': 'SF'},
{'x': [1, 2, 3], 'y': [2, 4, 5],
'type': 'bar', 'name': u'Montréal'},
]
}
)
]),
html.Div([
dcc.Tab(label='Tab two', children=[
html.Div([
dcc.Graph(
id = 'vis2'
# figure=plots.plotFun()
),
]),
dcc.Checklist(
id = 'my_list',
options=[
{'label': x, 'value': x, 'disabled':False}
for x in policy
],
value=[x for x in policy], # values chosen by default
className='my_box_container', # class of the container (div)
# style={'display':'flex'}, # style of the container (div)
inputClassName='my_box_input', # class of the <input> checkbox element
# inputStyle={'cursor':'pointer'}, # style of the <input> checkbox element
labelClassName='my_box_label', # class of the <label> that wraps the checkbox input and the option's label
# labelStyle={'background':'#A5D6A7', # style of the <label> that wraps the checkbox input and the option's label
# 'padding':'0.5rem 1rem',
# 'border-radius':'0.5rem'},
#persistence='', # stores user's changes to dropdown in memory ( I go over this in detail in Dropdown video: https://youtu.be/UYH_dNSX1DM )
#persistence_type='', # stores user's changes to dropdown in memory ( I go over this in detail in Dropdown video: https://youtu.be/UYH_dNSX1DM )
),
]),
]),
]),
]),
])
@app.callback(Output('vis2', 'figure'),
[Input('my_list', 'value')])
def options(list):
return plots.plotFun(list)
if __name__ == '__main__':
app.run_server(debug=False)
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