Shortening input CSVs' and added test for ACC.

calculatingfeatures/cf_tests/calculate_ACC_features_test.py

@@ -0,0 +1,32 @@
+import sys
+sys.path.append("..")
+from CalculatingFeatures.helper_functions import convert1DEmpaticaToArray, convertInputInto2d, accelerometerFeatureNames, frequencyFeatureNames
+from CalculatingFeatures.helper_functions import convert3DEmpaticaToArray
+from CalculatingFeatures.calculate_features import calculateFeatures
+
+import pandas as pd
+
+pathToAccCsv = "../example_data/S2_E4_Data_shortened/ACC.csv"
+windowLength = 500
+
+#np.seterr(all='raise')
+
+# get an array of values from ACC empatica file
+acc_data, startTimeStamp, sampleRate = convert3DEmpaticaToArray(pathToAccCsv)
+acc_data = acc_data[:, :int(300000//sampleRate)]
+
+# Convert the ACC data into 2D array
+x_2D = convertInputInto2d(acc_data[0], windowLength)
+y_2D = convertInputInto2d(acc_data[1], windowLength)
+z_2D = convertInputInto2d(acc_data[2], windowLength)
+
+# Create a list with feature names
+featureNames = []
+featureNames.extend(accelerometerFeatureNames)
+featureNames.extend(frequencyFeatureNames)
+
+pd.set_option('display.max_columns', None)
+
+# Calculate features
+calculatedFeatures = calculateFeatures(x_2D, y_2D, z_2D, fs=int(sampleRate), featureNames=featureNames)
+print(calculatedFeatures)

calculatingfeatures/cf_tests/calculate_EDA_features_test.py

@@ -57,7 +57,7 @@ plt.savefig('output_images/EDA_exa2.png')
 
 print(df_EDA.loc[no_interest, df_EDA.columns.str.contains('Peak')])
 
-# calculatedFeatures_EDA = calculateFeatures(eda_data_2D, fs=int(sampleRate_EDA), featureNames=gsrFeatureNames)
+calculatedFeatures_EDA = calculateFeatures(eda_data_2D, fs=int(sampleRate_EDA), featureNames=gsrFeatureNames)
-# print(calculatedFeatures_EDA)
+print(calculatedFeatures_EDA)
 
 

calculatingfeatures/cf_tests/calculate_HR_features_test.py

@@ -11,6 +11,7 @@ windowLength = 500
 
 # get an array of values from HRV empatica file
 hrv_data, startTimeStamp, sampleRate = convert1DEmpaticaToArray(pathToHrvCsv)
+hrv_data = hrv_data[:int(300000//sampleRate)]
 
 # Convert the HRV data into 2D array
 hrv_data_2D = convertInputInto2d(hrv_data, windowLength)

calculatingfeatures/cf_tests/calculate_TEMP_features_test.py

@@ -0,0 +1 @@
+# Temparature features do not exist - should be used from the RAPIDS defaults?