151 lines
No EOL
4.7 KiB
Python
151 lines
No EOL
4.7 KiB
Python
import os
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import io
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import base64 as b64
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from flask import Flask, render_template, g, jsonify, request, redirect
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import pandas as pd
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import settings
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from random import choice
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import matplotlib
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matplotlib.use('Agg')
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import matplotlib.pyplot as plt
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from matplotlib.pyplot import rcParams
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from flask_wtf import FlaskForm
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from wtforms import StringField, SelectField
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from bokeh.plotting import figure
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from bokeh.embed import components
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df = pd.read_csv(os.path.join(settings.data_dir, 'pop_by_country_long_form.csv'))
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df['Year'] = df['Year'].str[4:].astype(int)
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df2 = df.groupby(['Year', 'Nation']).sum().unstack()
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df2.columns = df2.columns.droplevel()
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nations = df2.columns
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choices = list(zip(nations, nations))
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images = ['mpl/' + nation for nation in df2.columns]
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images = list(zip(images, images))
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app = Flask(__name__)
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app.config['SECRET_KEY'] = 'secretkey'
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rcParams['lines.linewidth'] = 1
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rcParams["font.family"] = "Tunga"
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rcParams['font.size'] = 14
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rcParams['axes.labelsize'] = 12
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rcParams['xtick.labelsize'] = 12
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rcParams['ytick.labelsize'] = 12
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rcParams['font.size'] = 14
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rcParams['figure.titlesize'] = 18
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rcParams['axes.titlesize'] = 18
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rcParams['legend.fontsize'] = 12
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rcParams['figure.figsize'] = (8, 5)
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class MyForm(FlaskForm):
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nation = SelectField('nation', choices=choices)
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class MplForm(FlaskForm):
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nation = SelectField('nation', choices=images)
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def hide_spines(ax, alpha=0.4):
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ax.spines['top'].set_visible(False)
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ax.spines['right'].set_visible(False)
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ax.spines['left'].set_alpha(alpha)
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ax.spines['bottom'].set_alpha(alpha)
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def fig_to_html(fig):
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"""
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converts a matplotlib figure into an html image
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:param fig: matplotlibe figure object
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:returns: STR html string
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"""
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buf = io.BytesIO()
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fig.savefig(buf, format='png')
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img = ('data:image/png;base64,{}'
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.format(b64.b64encode(buf.getvalue()))
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.replace("b'",'')
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.replace("'",''))
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return img
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@app.route('/')
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def index():
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return redirect('/home')
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@app.route('/home')
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def home():
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return render_template('home.html')
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@app.route('/matplotlib', methods=['GET', 'POST'])
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def matplotlib_plot():
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form = MyForm()
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head_scripts = render_template('chartist_head_scripts.html')
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body = render_template('matplotlib.html', form=form)
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scripts = render_template('matplotlib.js')
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return render_template('home.html',head_scripts=head_scripts, body=body, scripts=scripts)
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@app.route('/bokeh', methods=['GET', 'POST'])
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def bokeh_plot():
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form = MyForm()
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head_scripts = render_template('bokeh_head_scripts.html')
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body = render_template('bokeh.html', form=form)
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scripts = render_template('bokeh.js')
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return render_template('home.html',head_scripts=head_scripts, body=body, scripts=scripts)
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@app.route('/chartist', methods=['GET', 'POST'])
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def chartist():
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form = MyForm()
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head_scripts = render_template('chartist_head_scripts.html')
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body = render_template('chartist.html', form=form)
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scripts = render_template('chartist.js')
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return render_template('home.html', head_scripts=head_scripts, body=body, scripts=scripts)
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@app.route('/c3', methods=['GET', 'POST'])
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def c3_route():
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form = MyForm()
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head_scripts = render_template('c3_head_scripts.html')
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body = render_template('c3.html', form=form)
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scripts = render_template('c3_update.js')
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return render_template('home.html', head_scripts=head_scripts, body=body, scripts=scripts)
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@app.route('/chartist1', methods=['GET', 'POST'])
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def chartist1():
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form = MyForm()
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return render_template('chart.html', form=form)
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@app.route('/data/<string:nation>')
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def data(nation):
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data = '{' + 'labels:{}, series: {}'.format(df2.index.astype(int).tolist(), df2[nation].astype(float).tolist()) + '}'
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return jsonify({'results':df2[nation].astype(float).tolist(), 'labels':df2.index.astype(float).tolist()})
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@app.route('/mpl/<string:nation>')
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def mpl(nation):
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fig, ax = plt.subplots()
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df2[nation].astype(float).plot(ax=ax, color='#D95D39', title=nation + ' population')
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hide_spines(ax)
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return jsonify({'src': fig_to_html(ax.figure)})
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@app.route('/pybokeh/<string:nation>')
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def pybokeh(nation):
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p = figure(title=nation, logo=None, tools="box_zoom,pan,wheel_zoom,reset",)
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p.line(x=df2[nation].index, y=df2[nation].values)
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script, div = components(p)
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return jsonify({'script': script,
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'div': div})
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@app.route('/c3data/<string:nation>')
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def c3_daata_route(nation):
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data = {'columns':[[nation] + df2[nation].astype(float).tolist(), ['x'] + df2.index.astype(float).tolist()],
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'colors': {nation: '#4286f4'},
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'unload': "",}
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return jsonify(data)
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if __name__ == '__main__':
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port = int(os.environ.get("PORT", 5000))
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app.run(host='0.0.0.0', port=port, debug=True) |