def plotPriceAndBeLong(issue, modelStartDate, modelEndDate, valData):
from Code.lib.plot_utils import PlotUtility
plotIt = PlotUtility()
plotTitle = "Close " + str(modelStartDate) + " to " + str(modelEndDate)
plotIt.plot_v2x(valData, plotTitle)
plt.show(block=False)
plotIt.histogram(valData['beLong'], x_label="beLong signal", y_label="Frequency",
title = "beLong distribution for " + issue)
plt.show(block=False)
model_results = []
predictor_vars = "Temp holding spot"
show_plot = False
# IS only
for i in range(segments):
print("====================================")
print("IN SAMPLE")
print('{0} to {1}'.format(modelStartDate, modelEndDate))
mmData = dataSet[modelStartDate:modelEndDate].copy()
nrows = mmData.shape[0]
if show_plot == True:
plotTitle = issue + ", " + str(modelStartDate) + " to " + str(
modelEndDate)
plotIt.plot_v2x(mmData, plotTitle)
plotIt.histogram(mmData['beLong'],
x_label="beLong signal",
y_label="Frequency",
title="beLong distribution for " + issue)
plt.show(block=False)
# Stationarity tests
# stationarity_tests(mmData, 'Close', issue)
# cols = [k for k,v in feature_dict.items() if v == 'Keep']
# for x in cols:
# stationarity_tests(mmData, x, issue)
plot_dict = {}
plot_dict['Issue'] = issue
plot_vars = [k for k, v in feature_dict.items() if v == 'Keep']