<jupyter_start><jupyter_text>Establish the location of the results filepystops assumes results are being read from the standard FTA STOPS folder structure:&nbsp;&nbsp;STOPS  &nbsp;&nbsp;&nbsp;&nbsp;|- Districts  &nbsp;&nbsp;&nbsp;&nbsp;|- Inputs  &nbsp;&nbsp;&nbsp;&nbsp;|- OutputData  &nbsp;&nbsp;&nbsp;&nbsp;|- Reports  &nbsp;&nbsp;&nbsp;&nbsp;|- Skims<jupyter_code>report_file = os.path.join('..', 'data', 'STOPS', 'Reports', 'AC_m19-s19-d19#m19-s19-d19#m20-s19-d19-alt2_20_STOPSY2019Results.prn')<jupyter_output><empty_output><jupyter_text>Read Skim Files  scenario =  ('exist', 'nobuild', 'build')  mode = ('bs', 'fg', 'tr')  bs=bus only; fg=fixed guideway; tr=all transit  access = ('walk', 'pnr', 'knr')  period = ('op', 'pk')<jupyter_code>pystops.read_skim(report_file, scenario='nobuild', mode='fg', access='pnr', period='pk').head()<jupyter_output><empty_output><jupyter_text>Example Table Reads  1.02: Station Listing<jupyter_code>pystops.parse_table(report_file, '1.02').head(3)<jupyter_output><empty_output><jupyter_text>2.04: Station Group Boardings Prior To Adjustment<jupyter_code>pystops.parse_table(report_file, '2.04').head()<jupyter_output><empty_output><jupyter_text>4.02: Weekday Incremental Linked Dist-to-Dist Transit Trips, Build, All Trips<jupyter_code>pystops.parse_table(report_file, '4.02')<jupyter_output><empty_output><jupyter_text>9.01: Average Weekday Station Boardings by Mode of Access<jupyter_code>pystops.parse_table(report_file, '9.01').head()<jupyter_output><empty_output><jupyter_text>10.01: Average Weekday Route Boardings by Zone (Production-End) Access Type<jupyter_code>pystops.parse_table(report_file, '10.01').head()<jupyter_output><empty_output><jupyter_text>345.01: Existing WEEKDAY LINKED TRANSIT TRIPS (All Transit/All car HH)<jupyter_code>pystops.parse_table(report_file, '345.01').head()<jupyter_output><empty_output><jupyter_text>Summarize Access Mode Percentages<jupyter_code>pystops.summarize_access_modes(report_file, percentage=True)<jupyter_output><empty_output>
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