def update_columns2(n_clicks, ddvalues,
dfdata,
dd1class, dd1value,
dd2class, dd2value,
):
if n_clicks < 1:
print("no drop down values")
return []
else:
list1 = []
list2 = []
list1.append(dd1class)
list1.append(dd2class)
list2.append(dd1value)
list2.append(dd2value)
zipped = zip(list1, list2)
d = dict(zipped)
all_pairs = [{j: d[j] for j in i} for i in it.combinations(d, 2)]
data_pairsv = []
data_pairsk = []
data_pairsv1 = []
data_pairsk1 = []
for p in all_pairs:
# print(list(p.values()))
data_pairsv.append(list(p.values()))
for p in all_pairs:
# print(list(p.keys()))
data_pairsk.append(list(p.keys()))
for v in data_pairsv:
data_pairsv1.append('vs'.join(v))
for k in data_pairsk:
data_pairsk1.append('vs'.join(k))
zippedpairs = zip(data_pairsk1, data_pairsv1)
finalpairs = dict(zippedpairs)
for k,v in finalpairs.items():
if v == "CATvsVAL":
a = dt.decision([1,1,0,0,0,0])
elif v == "CATvsLATvsLON":
a = dt.decision([1,0,0,1,0,0])
elif v == "LOCvsVAL":
a = dt.decision([1,0,0,1,0,0])
elif v == "DTEvsVAL":
a = dt.decision([1,0,0,0,1,0])
elif v == "VALvsVAL":
a = dt.decision([1,0,0,0,0,1])
elif v == "VALvsBOL" or v == "CATvsBOL":
a = dt.decision([1,0,1,0,0,0])
else:
a = "None"
finalpairs[k] = a[0]
# print(finalpairs)
for k,v in list(finalpairs.items()):
if v == "N":
del finalpairs[k]
print(finalpairs)
df = pd.read_json(dfdata)
charts = []
chartnum = 0
for k,v in finalpairs.items():
gcol = k.split('vs')
xcol = gcol[0]
ycol = gcol[1]
xval = df[xcol]
yval = df[ycol]
chartnum+=1
if v == "Bar":
charts.append(dcc.Graph(id=f'auto-graph{chartnum}',
figure=cl.bar_function(xval,yval)))
elif v == "Map":
charts.append(dcc.Graph(id=f'auto-graph{chartnum}',
figure=cl.map_function(xval,yval)))
elif v == "Rings":
charts.append(dcc.Graph(id=f'auto-graph{chartnum}',
figure=cl.rings_function(xval,yval)))
elif v == "Bubble":
charts.append(dcc.Graph(id=f'auto-graph{chartnum}',
figure=cl.bubble_function(xval,yval)))
elif v == "Table":
charts.append(dcc.Graph(id=f'auto-graph{chartnum}',
figure=cl.table_function(xval,yval)))
elif v == "Scatter":
charts.append(dcc.Graph(id=f'auto-graph{chartnum}',
figure=cl.scatter_function(xval,yval)))
elif v == "Pie":
charts.append(dcc.Graph(id=f'auto-graph{chartnum}',
figure=cl.pie_function(xval,yval)))
elif v == "Line":
charts.append(dcc.Graph(id=f'auto-graph{chartnum}',
figure=cl.line_function(xval,yval)))
return charts
])
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.layout = html.Div(children=[
html.H1(children='Generate Charts Based on Actual User Feedback'),
html.Div(children='''
Select Which Columns you would like to be graphed
'''),
html.Div(generate_table(df)),
dcc.Graph(id='example-graph', figure=cl.pie_function(a, b)),
dcc.Graph(id='example-graph1', figure=cl.bar_function(c, b)),
dcc.Graph(id='example-graph2', figure=cl.line_function(c, b)),
dcc.Graph(id='example-graph3', figure=cl.scatter_function(c, b)),
dcc.Graph(id='example-graph4', figure=cl.bubble_function(a, b)),
dcc.Graph(
id='example-graph5',
figure=cl.map_function(a, b)
# ),
# dcc.Graph(
# id='example-graph6',
# children = cl.chart_function(a,b)
)
])
if __name__ == '__main__':
app.run_server(debug=True)