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[run]
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- branch = False
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+ branch = True
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source =
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PyTrack
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- " 3.6"
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os :
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- linux
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+ env :
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+ - DISPLAY=:99.0
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before_install :
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+ - sh -e /etc/init.d/xvfb start
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- sudo apt-get install python-tk
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install :
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- pip3 install -r requirements.txt
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[ ![ Codacy Badge] ( https://api.codacy.com/project/badge/Grade/f57df86d1eb94be0b150f45e16977566 )] ( https://app.codacy.com/app/titoghose/PyTrack?utm_source=github.com&utm_medium=referral&utm_content=titoghose/PyTrack&utm_campaign=Badge_Grade_Dashboard )
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[ ![ Build Status] ( https://travis-ci.org/titoghose/PyTrack.svg?branch=master )] ( https://travis-ci.org/titoghose/PyTrack )
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[ ![ codecov] ( https://codecov.io/gh/titoghose/PyTrack/branch/master/graph/badge.svg )] ( https://codecov.io/gh/titoghose/PyTrack )
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- [ ![ Documentation Status] ( https://readthedocs.org/projects/pytrack-ntu/badge/?version=latest )] ( https://pytrack-ntu.readthedocs.io/en/latest/?badge=latest )
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+ [ ![ Documentation Status] ( https://readthedocs.org/projects/pytrack-ntu/badge/ )] ( https://pytrack-ntu.readthedocs.io/en/latest/ )
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# PyTrack
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statistical_test = "anova" ,
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file_creation = True )
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+ exp .analyse (parameter_list = {"all" },
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+ statistical_test = "anova" ,
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+ file_creation = True )
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+
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exp .analyse (parameter_list = {"all" },
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statistical_test = "ttest" ,
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file_creation = True )
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+ exp .analyse (parameter_list = {"all" },
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+ statistical_test = "RM_anova" ,
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+ file_creation = True )
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+
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#############################################################
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## 2. Running no tests. Just storing analysis data in Results folder ##
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#############################################################
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# Access metadata dictionary for particular subject and averaged for stimulus types
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agg_type_meta = exp .getMetaData (sub = subject_name ,
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- stim = None )
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+ stim = None )
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+
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+ exp .visualizeData ()
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# Some functionality usage. See documentation of Stimulus class for advanced use.
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stim .findEyeMetaData ()
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features = stim .sensors ["EyeTracker" ].metadata # Getting dictioary of found metadata/features
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- stim .findMicrosaccades (plot_ms = True )
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+ stim .findMicrosaccades (plot_ms = True )
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+ stim .gazePlot (show_fig = False , save_fig = True )
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+ stim .gazeHeatMap (show_fig = False , save_fig = True )
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+ stim .visualize ()
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