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tables.py
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from ncmp_code.utilities.processing_steps import create_output
from ncmp_code.utilities.processing_steps import create_output_dq
# Create the list of tables to produce
def get_tables():
table_list = [table_schoolyear_gender,
table_academicyear_R,
table_academicyear_6,
table_ethnicity_category_R,
table_ethnicity_subcategory_R,
table_ethnicity_category_6,
table_ethnicity_subcategory_6,
table_org_submit_region_R,
table_org_submit_upper_tier_la_R,
table_org_submit_region_6,
table_org_submit_upper_tier_la_6,
table_org_school_upper_tier_region_R,
table_org_school_upper_tier_la_R,
table_org_school_upper_tier_region_6,
table_org_school_upper_tier_la_6,
table_org_school_lower_tier_region_R,
table_org_school_lower_tier_la_R,
table_org_school_lower_tier_region_6,
table_org_school_lower_tier_la_6,
table_org_pupil_region_R,
table_org_pupil_upper_tier_la_R,
table_org_pupil_region_6,
table_org_pupil_upper_tier_la_6,
table_org_pupil_lower_tier_region_R,
table_org_pupil_lower_tier_la_R,
table_org_pupil_lower_tier_region_6,
table_org_pupil_lower_tier_la_6,
table_rural_urban_pupil_6,
table_rural_urban_pupil_R,
table_rural_urban_school_6,
table_rural_urban_school_R,
table_imd_pupil_R,
table_imd_pupil_6,
table_imd_school_R,
table_imd_school_6,
table_imd_gender_obese_school_R,
table_imd_gender_obese_school_6,
table_imd_gender_severely_obese_school_R,
table_imd_gender_severely_obese_school_6,
table_ons_area_class_pupil_R,
table_ons_area_class_pupil_6,
table_ons_area_class_school_R,
table_ons_area_class_school_6,
table_imd_gender_obese_pupil_R,
table_imd_gender_obese_pupil_6,
table_imd_gender_severely_obese_pupil_R,
table_imd_gender_severely_obese_pupil_6]
return table_list
def table_schoolyear_gender(df, col_order, output_file, df_part_ref):
groups = ["SchoolYear", "GenderCode"]
filter_condition = None
replace_null_logic = None
total = False
subtotal = True
col1_row_subgroups = None
col1_row_order = ["R", "6"]
col2_row_order = ["1", "2", "R - subtotal", "6 - subtotal"]
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 1a"
empty_cols = ["G", "L", "Q", "V", "AA", "AF"]
write_cell = "C16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
# the following two functions output in the same worksheet in Excel
def table_academicyear_R(df, col_order, output_file, df_part_ref):
groups = ["AcademicYear"]
filter_condition = 'SchoolYear == "R"'
replace_null_logic = None
total = False
subtotal = False
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 1b"
empty_cols = ["F", "K", "P", "U", "Z", "AE"]
write_cell = "B32" #UPDATE "write_cell" VALUE EACH YEAR
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_academicyear_6(df, col_order, output_file, df_part_ref):
groups = ["AcademicYear"]
filter_condition = 'SchoolYear == "6"'
replace_null_logic = None
total = False
subtotal = False
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 1b"
empty_cols = ["F", "K", "P", "U", "Z", "AE"]
write_cell = "B50" #UPDATE "write_cell" VALUE EACH YEAR
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
# the following two functions output in the same worksheet in Excel
def table_ethnicity_category_R(df, col_order, output_file, df_part_ref):
groups = ["NcmpEthnicityCode"]
filter_condition = 'SchoolYear == "R"'
replace_null_logic = {"NcmpEthnicityCode": "Not stated"}
total = True
subtotal = False
col1_row_subgroups = None
col1_row_order = ["grand_total", "Asian", "Black", "Chinese", "Mixed",
"White", "Any other ethnic group", "Not stated"]
col2_row_order = None
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 4_R"
empty_cols = ["G", "L", "Q", "V", "AA"]
write_cell = "C16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_ethnicity_subcategory_R(df, col_order, output_file, df_part_ref):
groups = ["NcmpEthnicityCode", "NhsEthnicityCode"]
filter_condition = 'SchoolYear == "R"'
replace_null_logic = {"NhsEthnicityCode": "Z",
"NcmpEthnicityCode": "Not stated"}
total = False
subtotal = False
col1_row_subgroups = None
col1_row_order = ["Asian", "Black", "Mixed", "White"]
col2_row_order = ["K", "H", "J", "L",
"N", "M", "P",
"F", "E", "D", "G",
"A", "B", "C"]
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 4_R"
empty_cols = ["G", "L", "Q", "V", "AA"]
write_cell = "C25"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
# the following two functions output in the same worksheet in Excel
def table_ethnicity_category_6(df, col_order, output_file, df_part_ref):
groups = ["NcmpEthnicityCode"]
filter_condition = 'SchoolYear == "6"'
replace_null_logic = {"NcmpEthnicityCode": "Not stated"}
total = True
subtotal = False
col1_row_subgroups = None
col1_row_order = ["grand_total", "Asian", "Black", "Chinese", "Mixed",
"White", "Any other ethnic group", "Not stated"]
col2_row_order = None
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 4_6"
empty_cols = ["G", "L", "Q", "V", "AA"]
write_cell = "C16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_ethnicity_subcategory_6(df, col_order, output_file, df_part_ref):
groups = ["NcmpEthnicityCode", "NhsEthnicityCode"]
filter_condition = 'SchoolYear == "6"'
replace_null_logic = {"NhsEthnicityCode": "Z",
"NcmpEthnicityCode": "Not stated"}
total = False
subtotal = False
col1_row_subgroups = None
col1_row_order = ["Asian", "Black", "Mixed", "White"]
col2_row_order = ["K", "H", "J", "L",
"N", "M", "P",
"F", "E", "D", "G",
"A", "B", "C"]
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 4_6"
empty_cols = ["G", "L", "Q", "V", "AA"]
write_cell = "C25"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
# the following two functions output in the same worksheet in Excel
def table_org_school_upper_tier_region_R(df, col_order, output_file, df_part_ref):
groups = ["SchoolRegionCode"]
filter_condition = 'SchoolYear == "R"'
replace_null_logic = None
total = True
subtotal = False
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = {"SchoolRegionCode": True}
disclosure_control = True
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 3a_R_UTLA"
empty_cols = ["H", "M", "R", "W", "AB"]
write_cell = "D16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_org_school_upper_tier_la_R(df, col_order, output_file, df_part_ref):
groups = ["SchoolTier1LocalAuthority",
"SchoolTier1LocalAuthority_Name",
"SchoolRegionCode",
"SchoolRegionCode_Name"]
filter_condition = 'SchoolYear == "R"'
replace_null_logic = None
total = False
subtotal = False
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = {"SchoolRegionCode": True,
"SchoolTier1LocalAuthority_Name": True}
disclosure_control = True
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 3a_R_UTLA"
empty_cols = ["H", "M", "R", "W", "AB"]
write_cell = "A27"
write_variable = True
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
# the following two functions output in the same worksheet in Excel
def table_org_school_upper_tier_region_6(df, col_order, output_file, df_part_ref):
groups = ["SchoolRegionCode"]
filter_condition = 'SchoolYear == "6"'
replace_null_logic = None
total = True
subtotal = False
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = {"SchoolRegionCode": True}
disclosure_control = True
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 3a_6_UTLA"
empty_cols = ["H", "M", "R", "W", "AB"]
write_cell = "D16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_org_school_upper_tier_la_6(df, col_order, output_file, df_part_ref):
groups = ["SchoolTier1LocalAuthority",
"SchoolTier1LocalAuthority_Name",
"SchoolRegionCode",
"SchoolRegionCode_Name"]
filter_condition = 'SchoolYear == "6"'
replace_null_logic = None
total = False
subtotal = False
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = {"SchoolRegionCode": True,
"SchoolTier1LocalAuthority_Name": True}
disclosure_control = True
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 3a_6_UTLA"
empty_cols = ["H", "M", "R", "W", "AB"]
write_cell = "A27"
write_variable = True
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
# the following two functions output in the same worksheet in Excel
def table_org_school_lower_tier_region_R(df, col_order, output_file, df_part_ref):
groups = ["SchoolRegionCode"]
filter_condition = 'SchoolYear == "R"'
replace_null_logic = {"SchoolRegionCode": "Unknown"}
total = True
subtotal = False
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = {"SchoolRegionCode": True}
disclosure_control = True
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 3a_R_LTLA"
empty_cols = ["I", "N", "S", "X", "AC"]
write_cell = "E16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_org_school_lower_tier_la_R(df, col_order, output_file, df_part_ref):
groups = ["SchoolTier2LocalAuthority",
"SchoolTier2LocalAuthority_Name",
"SchoolTier1LocalAuthority_Name",
"SchoolRegionCode",
"SchoolRegionCode_Name"]
filter_condition = 'SchoolYear == "R"'
replace_null_logic = None
total = False
subtotal = False
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = {"SchoolRegionCode": True,
"SchoolTier1LocalAuthority_Name": True,
"SchoolTier2LocalAuthority_Name": True}
disclosure_control = True
la_lower_tier = True
table_bmi_category = None
participation = None
sheetname = "Table 3a_R_LTLA"
empty_cols = ["I", "N", "S", "X", "AC"]
write_cell = "A27"
write_variable = True
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
# the following two functions output in the same worksheet in Excel
def table_org_school_lower_tier_region_6(df, col_order, output_file, df_part_ref):
groups = ["SchoolRegionCode"]
filter_condition = 'SchoolYear == "6"'
replace_null_logic = {"SchoolRegionCode": "Unknown"}
total = True
subtotal = False
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = {"SchoolRegionCode": True}
disclosure_control = True
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 3a_6_LTLA"
empty_cols = ["I", "N", "S", "X", "AC"]
write_cell = "E16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_org_school_lower_tier_la_6(df, col_order, output_file, df_part_ref):
groups = ["SchoolTier2LocalAuthority",
"SchoolTier2LocalAuthority_Name",
"SchoolTier1LocalAuthority_Name",
"SchoolRegionCode",
"SchoolRegionCode_Name"]
filter_condition = 'SchoolYear == "6"'
replace_null_logic = None
total = False
subtotal = False
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = {"SchoolRegionCode": True,
"SchoolTier1LocalAuthority_Name": True,
"SchoolTier2LocalAuthority_Name": True}
disclosure_control = True
la_lower_tier = True
table_bmi_category = None
participation = None
sheetname = "Table 3a_6_LTLA"
empty_cols = ["I", "N", "S", "X", "AC"]
write_cell = "A27"
write_variable = True
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
# the following two functions output in the same worksheet in Excel
def table_org_pupil_region_R(df, col_order, output_file, df_part_ref):
groups = ["PupilRegionCode"]
filter_condition = 'SchoolYear == "R"'
replace_null_logic = {"PupilRegionCode": "Unknown"}
total = True
subtotal = False
col1_row_subgroups = None
col1_row_order = ["grand_total", "E12000001", "E12000002", "E12000003",
"E12000004", "E12000005", "E12000006", "E12000007",
"E12000008", "E12000009"]
col2_row_order = None
sort_logic = None
disclosure_control = True
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 3b_R_UTLA"
empty_cols = ["H", "M", "R", "W", "AB"]
write_cell = "D16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_org_pupil_upper_tier_la_R(df, col_order, output_file, df_part_ref):
groups = ["PupilTier1LocalAuthority",
"PupilTier1LocalAuthority_Name",
"PupilRegionCode",
"PupilRegionCode_Name"]
filter_condition = 'SchoolYear == "R"'
replace_null_logic = None
total = False
subtotal = False
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = {"PupilRegionCode": True,
"PupilTier1LocalAuthority_Name": True}
disclosure_control = True
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 3b_R_UTLA"
empty_cols = ["H", "M", "R", "W", "AB"]
write_cell = "A27"
write_variable = True
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
# the following two functions output in the same worksheet in Excel
def table_org_pupil_region_6(df, col_order, output_file, df_part_ref):
groups = ["PupilRegionCode"]
filter_condition = 'SchoolYear == "6"'
replace_null_logic = {"PupilRegionCode": "Unknown"}
total = True
subtotal = False
col1_row_subgroups = None
col1_row_order = ["grand_total", "E12000001", "E12000002", "E12000003",
"E12000004", "E12000005", "E12000006", "E12000007",
"E12000008", "E12000009"]
col2_row_order = None
sort_logic = None
disclosure_control = True
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 3b_6_UTLA"
empty_cols = ["H", "M", "R", "W", "AB"]
write_cell = "D16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_org_pupil_upper_tier_la_6(df, col_order, output_file, df_part_ref):
groups = ["PupilTier1LocalAuthority",
"PupilTier1LocalAuthority_Name",
"PupilRegionCode",
"PupilRegionCode_Name"]
filter_condition = 'SchoolYear == "6"'
replace_null_logic = None
total = False
subtotal = False
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = {"PupilRegionCode": True,
"PupilTier1LocalAuthority_Name": True}
disclosure_control = True
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 3b_6_UTLA"
empty_cols = ["H", "M", "R", "W", "AB"]
write_cell = "A27"
write_variable = True
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
# the following two functions output in the same worksheet in Excel
def table_rural_urban_pupil_6(df, col_order, output_file, df_part_ref):
groups = ["PupilUrbanRuralIndicator"]
filter_condition = 'SchoolYear == "6"'
replace_null_logic = {"PupilUrbanRuralIndicator": "Unknown"}
total = True
subtotal = False
col1_row_subgroups = {"Urban": ["1", "5"], "Town_Fringe": ["2", "6"],
"Village_Hamlet_Isolated": ["3", "7", "4", "8"]}
col1_row_order = ["grand_total", "Town_Fringe", "Urban", "Village_Hamlet_Isolated"]
col2_row_order = None
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 5a_6"
empty_cols = ["F", "K", "P", "U", "Z"]
write_cell = "B16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_rural_urban_pupil_R(df, col_order, output_file, df_part_ref):
groups = ["PupilUrbanRuralIndicator"]
filter_condition = 'SchoolYear == "R"'
replace_null_logic = {"PupilUrbanRuralIndicator": "Unknown"}
total = True
subtotal = False
col1_row_subgroups = {"Urban": ["1", "5"], "Town_Fringe": ["2", "6"],
"Village_Hamlet_Isolated": ["3", "7", "4", "8"]}
col1_row_order = ["grand_total", "Town_Fringe", "Urban", "Village_Hamlet_Isolated"]
col2_row_order = None
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 5a_R"
empty_cols = ["F", "K", "P", "U", "Z"]
write_cell = "B16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_imd_pupil_R(df, col_order, output_file, df_part_ref):
groups = ["PupilIndexOfMultipleDeprivationD"]
filter_condition = 'SchoolYear == "R"'
replace_null_logic = {"PupilIndexOfMultipleDeprivationD": "Unknown"}
total = True
subtotal = False
col1_row_subgroups = None
col1_row_order = ["grand_total", "1.0", "2.0", "3.0", "4.0", "5.0", "6.0",
"7.0", "8.0", "9.0", "10.0"]
col2_row_order = None
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 6a_R"
empty_cols = ["F", "K", "P", "U", "Z"]
write_cell = "B16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_imd_pupil_6(df, col_order, output_file, df_part_ref):
groups = ["PupilIndexOfMultipleDeprivationD"]
filter_condition = 'SchoolYear == "6"'
replace_null_logic = {"PupilIndexOfMultipleDeprivationD": "Unknown"}
total = True
subtotal = False
col1_row_subgroups = None
col1_row_order = ["grand_total", "1.0", "2.0", "3.0", "4.0", "5.0", "6.0",
"7.0", "8.0", "9.0", "10.0"]
col2_row_order = None
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = None
participation = None
sheetname = "Table 6a_6"
empty_cols = ["F", "K", "P", "U", "Z"]
write_cell = "B16"
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
# the following two functions output in the same worksheet in Excel
def table_imd_gender_obese_school_R(df, col_order, output_file, df_part_ref):
groups = ["SchoolIndexOfMultiDeprivationD", "GenderCode"]
filter_condition = 'SchoolYear == "R" & (SchoolIndexOfMultiDeprivationD == 1 | SchoolIndexOfMultiDeprivationD == 10)'
replace_null_logic = {"SchoolIndexOfMultiDeprivationD": "Unknown"}
total = False
subtotal = True
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = "obese"
participation = None
sheetname = "Table 6c"
empty_cols = ["F", "K", "P", "U", "Z"]
write_cell = "B32" #UPDATE "write_cell" VALUE EACH YEAR
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
def table_imd_gender_obese_school_6(df, col_order, output_file, df_part_ref):
groups = ["SchoolIndexOfMultiDeprivationD", "GenderCode"]
filter_condition = 'SchoolYear == "6" & (SchoolIndexOfMultiDeprivationD == 1 | SchoolIndexOfMultiDeprivationD == 10)'
replace_null_logic = {"SchoolIndexOfMultiDeprivationD": "Unknown"}
total = False
subtotal = True
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = "obese"
participation = None
sheetname = "Table 6c"
empty_cols = ["F", "K", "P", "U", "Z"]
write_cell = "B50" #UPDATE "write_cell" VALUE EACH YEAR
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)
# the following two functions output in the same worksheet in Excel
def table_imd_gender_severely_obese_school_R(df, col_order, output_file, df_part_ref):
groups = ["SchoolIndexOfMultiDeprivationD", "GenderCode"]
filter_condition = 'SchoolYear == "R" & (SchoolIndexOfMultiDeprivationD == 1 | SchoolIndexOfMultiDeprivationD == 10)'
replace_null_logic = {"SchoolIndexOfMultiDeprivationD": "Unknown"}
total = False
subtotal = True
col1_row_subgroups = None
col1_row_order = None
col2_row_order = None
sort_logic = None
disclosure_control = False
la_lower_tier = False
table_bmi_category = "severely_obese"
participation = None
sheetname = "Table 6d"
empty_cols = ["F", "K", "P", "U", "Z"]
write_cell = "B32" #UPDATE "write_cell" VALUE EACH YEAR
write_variable = False
return create_output(df, groups, col_order,
sheetname, empty_cols, write_cell,
output_file, df_part_ref,
filter_condition, replace_null_logic,
total, subtotal,
col1_row_subgroups,
sort_logic,
col1_row_order, col2_row_order,
disclosure_control,
la_lower_tier,
table_bmi_category,
participation,
write_variable)