Python prepare_data_for_modeling Examples

Example #1

File: market_sentimentalism2.py Project: EHDEV/market_sentimentalism2

def sentiment_dashboard():
    data = etl.prepare_data_for_modeling()

    data['date'] = data.index

    dat_dict = data.to_dict(orient='records')

    return render_template('highcharts1.html', dictionary=json.dumps(dat_dict))

Example #2

File: market_sentimentalism2.py Project: jaybird23/market_sentimentalism2

def sentiment_dashboard():
    data = etl.prepare_data_for_modeling()

    data['date'] = data.index

    dat_dict = data.to_dict(orient='records')

    return render_template('highcharts1.html', dictionary=json.dumps(dat_dict))

Example #3

File: market_sentimentalism2.py Project: EHDEV/market_sentimentalism2

def test():
    d = etl.prepare_data_for_modeling()
    res = model.linear_reg(d)

    return render_template('default.html', data=json.dumps(res))

Example #4

File: market_sentimentalism2.py Project: jaybird23/market_sentimentalism2

def test():
    d = etl.prepare_data_for_modeling()
    res = model.linear_reg(d)

    return render_template('default.html', data=json.dumps(res))