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apptsum.jl
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apptsum.jl
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using Dash
using CSV
using DataFrames
using PlotlyJS
using Base64
using Dates
using Statistics
app = Dash.dash(
external_stylesheets=[
"https://stackpath.bootstrapcdn.com/bootstrap/4.4.1/css/bootstrap.min.css",
"https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css"
],
update_title="Loading..."
)
#methods(dash)
#methods(html_div)
app.layout = html_div() do
[
html_h2("WaSiM Timeseries Data"),
dcc_upload(
id = "upload-data",
children = [
html_div("Drag and Drop or "),
html_a("Select Files")
],
style = Dict(
"width" => "99%",
"height" => "60px",
"lineHeight" => "60px",
"borderWidth" => "1.5px",
"borderStyle" => "dashed",
"borderRadius" => "5px",
"textAlign" => "center",
"margin" => "10px"
),
multiple = true
),
html_div(id = "output-graph")
]
end
function parse_contents(contents, filename)
# Read the contents of the uploaded file
content_type, content_string = split(contents, ',')
decoded = base64decode(content_string)
ms = ["-9999.0", "-9999", "lin", "log", "--"]
df = CSV.File(IOBuffer(decoded); delim="\t", header=1, normalizenames=true,
missingstring=ms, types=Float64) |> DataFrame
dropmissing!(df, 1)
for i in 1:3
df[!, i] = map(x -> Int(x), df[!, i])
end
df.date = Date.(string.(df[!, 1], "-", df[!, 2], "-", df[!, 3]), "yyyy-mm-dd")
df = df[:, Not(1:4)]
#dropmissing!(df)
#fig = PlotlyJS.make_subplots(shared_xaxes=true)
#fig = PlotlyJS.make_subplots()
# tcols = size(df)[2] - 1
# for i in 1:tcols
# PlotlyJS.add_trace!(fig,
# PlotlyJS.scatter(x=df.date, y=df[:, i], name=names(df)[i])
# )
# end
s = (filter(x->!occursin(r"year|date",x),names(df)))
#renamer - remove char _
for x in s
newname=replace(x,"_"=>" ")
rename!(df,Dict(x=>newname))
end
s = Symbol.(filter(x->!occursin(r"year|date",x),names(df)))
fig = PlotlyJS.make_subplots(shared_xaxes=true, shared_yaxes=true)
for i in s
PlotlyJS.add_trace!(fig,
PlotlyJS.scatter(x=df.date, y=df[:, i], name=i)
)
end
ti = filename
#fact = 1.1
fact = .88
PlotlyJS.relayout!(fig,
template="seaborn",
#template="simple_white",
height=650*fact,
width=1200*fact,
title_text="",
#xperiod = first(df.date),
#xperiodalignment = "start",
updatemenus=[
Dict(
"type" => "buttons",
"direction" => "left",
"buttons" => [
Dict(
"args" => [Dict("yaxis.type" => "linear")],
"label" => "Linear Scale",
"method" => "relayout"
),
Dict(
"args" => [Dict("yaxis.type" => "log")],
"label" => "Log Scale",
"method" => "relayout"
)
],
"pad" => Dict("r" => 1, "t" => 10),
"showactive" => true,
"x" => 0.11,
#"x" => 5.11,
"xanchor" => "left",
#"xanchor" => "auto",
"y" => 1.1,
#"yanchor" => "top"
"yanchor" => "auto"
),
]
)
############df_yearmean ##################
# begin
# function yrmean(x::DataFrame)
# #df = copy(x)
# df = x
# # y = filter(x->!occursin("date",x),names(df))
# # s = map(y -> Symbol(y),y)
# df[!, :year] = year.(df[!,:date]);
# y = filter(x -> !(occursin(r"year|date", x)), names(df))
# dfm = DataFrames.combine(groupby(df, :year), y .=> mean .=> y);
# return(dfm)
# end
# # df = readdf(glob("qges")|>first)
# dfm = copy(df)
# dfm = yrmean(dfm)
# fig_mean = PlotlyJS.plot(dfm, kind = "bar");
# s = Symbol.(filter(x->!occursin(r"year|date",x),names(dfm)))
# for i in s;
# PlotlyJS.add_trace!(fig_mean,
# PlotlyJS.bar(x=dfm.year, y=dfm[:,i],
# name=i) );
# end
# #filename="qges.sd"
# #fact=0.4
# ti = split(filename,".")|>first
# PlotlyJS.relayout!(fig_mean,
# #template="seaborn",
# template="simple_white",
# # template="plotly_dark",
# height=650*fact,
# width=1200*fact,
# title_text=ti,
# updatemenus=[
# Dict(
# "type" => "buttons",
# "direction" => "left",
# "buttons" => [
# Dict(
# "args" => [Dict("yaxis.type" => "linear")],
# "label" => "Linear Scale",
# "method" => "relayout"
# ),
# Dict(
# "args" => [Dict("yaxis.type" => "log")],
# "label" => "Log Scale",
# "method" => "relayout"
# )
# ],
# "pad" => Dict("r" => 1, "t" => 10),
# "showactive" => true,
# "x" => 0.11,
# #"x" => 5.11,
# "xanchor" => "left",
# #"xanchor" => "auto",
# "y" => 1.1,
# #"yanchor" => "top"
# "yanchor" => "auto"
# ),
# ]
# )
# end
#####################df_yearsum ##################
begin
function yrsum(x::DataFrame)
df = copy(x)
y = filter(x->!occursin("date",x),names(df))
s = map(y -> Symbol(y),y)
df[!, :year] = year.(df[!,:date]);
df_yearsum = DataFrames.combine(groupby(df, :year), y .=> sum .=> y);
return(df_yearsum)
end
dfyr = yrsum(df)
fig2 = PlotlyJS.plot(dfyr, kind = "bar");
# s = (filter(x->!occursin(r"year|date",x),names(dfyr)))
# #renamer - remove chars
# for x in s
# newname=replace(x,"_"=>" ")
# #println(newname)
# rename!(df,Dict(x=>newname))
# end
s = Symbol.(filter(x->!occursin(r"year|date",x),names(dfyr)))
for i in s;
PlotlyJS.add_trace!(fig2,
PlotlyJS.bar(x=dfyr.year, y=dfyr[:,i],
name=i) );
end
# ti = split(filename,".")|>first
# PlotlyJS.relayout!(fig2,
# template="seaborn",
# # template="simple_white",
# # template="plotly_dark",
# height=650*fact,
# width=1200*fact,
# title_text=ti,
# updatemenus=[
# Dict(
# "type" => "buttons",
# "direction" => "left",
# "buttons" => [
# Dict(
# "args" => [Dict("yaxis.type" => "linear")],
# "label" => "Linear Scale",
# "method" => "relayout"
# ),
# Dict(
# "args" => [Dict("yaxis.type" => "log")],
# "label" => "Log Scale",
# "method" => "relayout"
# )
# ],
# "pad" => Dict("r" => 1, "t" => 10),
# "showactive" => true,
# "x" => 0.11,
# #"x" => 5.11,
# "xanchor" => "left",
# #"xanchor" => "auto",
# "y" => 1.1,
# #"yanchor" => "top"
# "yanchor" => "auto"
# ),
# ]
# )
end
# function subplots1()
# p1 = fig
# p2 = fig2
# p = [p1 p2]
# p
# end
function subplots1(filename)
p1 = fig
p2 = fig2
p = [p1 p2]
ti = split(filename,".")|>first
fact = 1.11
PlotlyJS.relayout!(p,
template="seaborn",
# template="simple_white",
# template="plotly_dark",
height=650*fact,
width=1200*fact,
title_text=ti,
updatemenus=[
Dict(
"type" => "buttons",
"direction" => "left",
"buttons" => [
Dict(
"args" => [Dict("yaxis.type" => "linear")],
"label" => "Linear Scale",
"method" => "relayout"
),
Dict(
"args" => [Dict("yaxis.type" => "log")],
"label" => "Log Scale",
"method" => "relayout"
)
],
"pad" => Dict("r" => 1, "t" => 10),
"showactive" => true,
"x" => 0.11,
#"x" => 5.11,
"xanchor" => "left",
#"xanchor" => "auto",
"y" => 1.1,
#"yanchor" => "top"
"yanchor" => "auto"
),
]
)
p
end
return subplots1(filename)
# p = [p1 p2; p3 p4] ##four panels
# function subplots1()
# p1 = fig
# p2 = fig_mean
# p3 = fig2
# p = [p1 p2;p3]
# p
# end
# return subplots1()
# fin = make_subplots(rows=1, cols=2)
# # add_trace!(fig, row=1, col=1)
# # add_trace!(fig2, row=1, col=2)
# add_trace!(fin, trace1, row=1, col=1)
# add_trace!(fin, trace2, row=1, col=2)
# relayout!(fin, title_text="Subplot Example")
# return fin
end
callback!(
app,
Output("output-graph", "children"),
# Output("yrsum-graph", "children"),
[Input("upload-data", "contents")],
[State("upload-data", "filename")]
) do contents, filenames
if contents !== nothing
graphs = []
for (content, filename) in zip(contents, filenames)
graph = html_div([
#html_h4(filename),
dcc_graph(
id = filename,
figure = parse_contents(content, filename) #, filename
)
])
push!(graphs, graph)
end
return graphs
end
end
run_server(app, "0.0.0.0", 8052, debug = true)
#run_server(app, debug=true)
#run_server(app, "127.0.0.1", 8050)
# using PlotlyJS
# ssup()
# # create first graph
# trace1 = scatter(;x=[1, 2, 3], y=[4, 5, 6])
# # create second graph
# trace2 = scatter(;x=[1, 2, 3], y=[6, 5, 4])
# # create subplot
# fig = make_subplots(rows=1, cols=2)
# add_trace!(fig, trace1, row=1, col=1)
# add_trace!(fig, trace2, row=1, col=2)
# relayout!(fig, title_text="Subplot Example")
# display(fig)
# using PlotlyJS
# function subplots1()
# p1 = linescatter1()
# p2 = linescatter2()
# p = [p1 p2]
# p
# end
# subplots1()