From 8e3e57e06e5df63acb02da2611f164b2102f5463 Mon Sep 17 00:00:00 2001
From: Russell Jarvis <colouredstatic@gmail.com>
Date: Mon, 2 Dec 2019 13:18:45 +1100
Subject: [PATCH] for plotly-dash forum ask for help
---
OnlineApp/app.py | 44 +++++++++++++-
OnlineApp/dash7.py | 147 +++++++++++++++++----------------------------
2 files changed, 97 insertions(+), 94 deletions(-)
diff --git a/OnlineApp/app.py b/OnlineApp/app.py
index 20e775a..53e3932 100644
--- a/OnlineApp/app.py
+++ b/OnlineApp/app.py
@@ -10,6 +10,41 @@ app = dash.Dash(__name__, server=server,external_stylesheets=external_stylesheet
app.config.suppress_callback_exceptions = True
+image_filename = "figures/boxplot.png" # replace with your own image
+test_base64 = base64.b64encode(open(image_filename, 'rb').read())
+
+def fig_to_uri(in_fig, close_all=True, **save_args):
+ # type: (plt.Figure) -> str
+ """
+ Save a figure as a URI
+ :param in_fig:
+ :return:
+ """
+ out_img = BytesIO()
+ in_fig = open("figures/boxplot.png")
+ in_fig.savefig(out_img, format='png', **save_args)
+ if close_all:
+ in_fig.clf()
+ plt.close('all')
+ out_img.seek(0) # rewind file
+ encoded = base64.b64encode(out_img.read()).decode("ascii").replace("\n", "")
+ return "data:image/png;base64,{}".format(encoded)
+
+def long_process(NAME):
+
+ #return
+ print('enters long process')
+ #NAME = "S S Phatak"
+ verbose = True
+
+ ar = online_app_backend.call_from_front_end(NAME,verbose=verbose)
+ print(ar)
+
+ axes,fig = bplot.plot_author(ar,NAME)
+ out_url = fig_to_uri(fig)
+ return out_url
+
+
app.layout = html.Div(children=[
html.H1(children='Hello Dash'),
@@ -21,14 +56,19 @@ app.layout = html.Div(children=[
id='example-graph',
figure={
'data': [
- {'x': [1, 2, 3], 'y': [4, 1, 2zz], 'type': 'bar', 'name': 'SF'},
+ {'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'},
],
'layout': {
'title': 'Dash Data Visualization'
}
}
- )
+ ),
+ html.Img(src=app.get_asset_url('figures/boxplot.png')),
+ #html.Div([html.Img(id = 'cur_plot', src = '')],
+ # id='plot_div')
+ html.Img(src='data:image/png;base64,{}'.format(test_base64))
+
])
if __name__ == '__main__':
diff --git a/OnlineApp/dash7.py b/OnlineApp/dash7.py
index f78a9d9..2e02dce 100644
--- a/OnlineApp/dash7.py
+++ b/OnlineApp/dash7.py
@@ -3,123 +3,86 @@ import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
-
-
+import pickle
+import plotly.express as px
+import pandas as pd
+import numpy as np
import datetime
import time
-try:
- import bplot
- import online_app_backend
-except:
- from SComplexity import online_app_backend
- from SComplexity.OnlineApp import bplot
-
-import matplotlib.pyplot as plt
-import numpy as np
-from io import BytesIO
-import base64
-
-from io import BytesIO
-import matplotlib.pyplot as plt
-import base64
-import numpy as np
-import pickle
-
+# get wikipedia data
+with open('scraped_new.p','rb') as f:
+ texts = pickle.load(f)
+
+queries = set([t['query'] for t in texts ])
+temp = [t for t in texts if 'standard' in t.keys() and 'wikipedia' in t['link']]
+science = ['cancer','Vaccines','evolution','climate change','Transgenic','photosysnthesis','evolution','GMO']
+res = [t['standard'] for t in temp if t['query'] in science]
+mwp = np.mean(res)
+abstract_wiki = {'standard':mwp}
+
+def new_old(old,new):
+ old['Art_Corpus_Derived'] = True
+ new['Art_Corpus_Derived'] = False
+ newer = old.append(new)
+ return newer
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
-def fig_to_uri(in_fig, close_all=True, **save_args):
- # type: (plt.Figure) -> str
- """
- Save a figure as a URI
- :param in_fig:
- :return:
- """
- out_img = BytesIO()
- in_fig.savefig(out_img, format='png', **save_args)
- if close_all:
- in_fig.clf()
- plt.close('all')
- out_img.seek(0) # rewind file
- encoded = base64.b64encode(out_img.read()).decode("ascii").replace("\n", "")
- return "data:image/png;base64,{}".format(encoded)
-
def long_process(NAME):
+ with open('traingDats.p','rb') as f:
+ artcorpus = pickle.load(f)
+ with open('scraped_new.p','rb') as f:
+ new_author = pickle.load(f)
+
+ new_author = pd.DataFrame(new_author)
+ artcorpus = pd.DataFrame(artcorpus)
- #return
print('enters long process')
- #NAME = "S S Phatak"
verbose = True
-
- ar = online_app_backend.call_from_front_end(NAME,verbose=verbose)
- print(ar)
-
- axes,fig = bplot.plot_author(ar,NAME)
- out_url = fig_to_uri(fig)
- return out_url
-
-#def update_graph(input_value, n_val):
-
-# out_url = fig_to_uri(fig)
-# return out_url
-
-
-# external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
+ # compute expensive code that I really want to use.
+ # import online_app_backend
+ # from SComplexity import online_app_backend
+ # ar = online_app_backend.call_from_front_end(NAME,verbose=verbose)
+ newer = new_old(artcorpus,ar)
+ plot = dcc.Graph(
+ id='example-graph',
+ figure = px.histogram(newer, x="standard", y="standard", color="Art_Corpus_Derived",
+ marginal="box", # or violin, rug
+ hover_data=newer.columns,width=900, height=900)
+ )
+ return plot
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
-
-
app.layout = html.Div([
html.Button(id='submit-button', n_clicks=0, children='Submit'),
- dcc.Input(id='input-1-state', type='text', value='Montréal'),
- html.Div(id='output-state'),
- html.Div([html.Img(id = 'cur_plot', src = '')],
+ dcc.Input(id='input-1-state', type='text', value='enter author name'),
+ html.Div(id='newer'),
+ html.Div([html.Img(id = 'long_process', src = '')],
id='plot_div'),
- html.Div(children=[
- html.H1(children='Hello Dash'),
+ html.H1(children='Author contest on science readability'),
html.Div(children='''
- Dash: A web application framework for Python.
- '''),
-
- dcc.Graph(
- id='example-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'},
- ],
- 'layout': {
- 'title': 'Dash Data Visualization'
- }
- }
- )
- ])
+ Wikipedia on science, versus art corpus all biochem papers.
+ ''')
])
@app.callback(
- Output('cur_plot', 'children'),
+ Output('newer', 'children'),
[Input('submit-button', 'n_clicks')],
[State('input-1-state', 'value')]
)
-def update_graph(n_clicks, input1):
+def update_graph(n_clicks, value):
print(u'''
The Button has been pressed {} times,
Input 1 is "{}",
and Input 2 is "{}"
- '''.format(n_clicks, input1))
- plot_div = long_process(input1)
- return plot_div
-
-
-
-
-@app.callback(
- Output("output-state", "children"),
- [Input("input-1-state", "value")]
-)
-def update_output(input1):
- return u'Input 1 is {0}'.format(input1)
-
+ '''.format(n_clicks))
+ print(u'''
+ The Button has been pressed {} times,
+ Input 1 is "{}",
+ and Input 2 is "{}"
+ '''.format(value))
+ newer = long_process(value)
+ return newer
app.css.config.serve_locally = True
app.scripts.config.serve_locally = True
--
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