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save time series to file #270

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merged 9 commits into from
Jun 4, 2019
Merged

save time series to file #270

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9972bcd
initial commit
user624086 May 16, 2019
945899c
Merge branch 'develop' into 268-save-time-series-to-file
IanGrimstead May 17, 2019
e7bb324
filename using os.path.join
user624086 May 22, 2019
2ccd1a8
Merge remote-tracking branch 'origin/268-save-time-series-to-file' in…
user624086 May 22, 2019
2722109
Merge branch 'develop' into 268-save-time-series-to-file
IanGrimstead May 22, 2019
f929263
Merge branch 'develop' into 268-save-time-series-to-file
Jun 3, 2019
f93506a
Merged with develop and tidied to remove knowledge of path (#268)
Jun 3, 2019
dc103fb
Merge branch 'develop' into 268-save-time-series-to-file
IanGrimstead Jun 3, 2019
b18fd34
Update pygrams.py
user624086 Jun 4, 2019
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14 changes: 14 additions & 0 deletions scripts/pipeline.py
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Original file line number Diff line number Diff line change
@@ -1,5 +1,6 @@
import bz2
import pickle
import csv
from os import makedirs, path

from pandas import read_pickle
Expand Down Expand Up @@ -278,6 +279,19 @@ def run(self, predictors_to_run, emergence, normalized=False, train_test=False):
predicted_emergence = map_prediction_to_emergence_label(results, training_values, test_values,
predictors_to_run, test_terms=terms)

# save training_values to csv file
#
# training_values: csv file:
# {'term1': [0,2,4,6], 'term2': [2,4,1,3]} 'term1', 0, 2, 4, 6
# 'term2', 2, 4, 1, 3
#
filename = path.join('outputs', 'emergence', emergence + '_time_series.csv')
with open(filename, 'w') as f:
w = csv.writer(f)
for key, values in training_values.items():
my_list = ["'" + str(key) + "'"] + values
w.writerow(my_list)

html_results += report_predicted_emergence_labels_html(predicted_emergence)

html_results += report_prediction_as_graphs_html(results, predictors_to_run, self.__weekly_iso_dates,
Expand Down