本文整理汇总了Python中qiime.util.MetadataMap.isNumericCategory方法的典型用法代码示例。如果您正苦于以下问题：Python MetadataMap.isNumericCategory方法的具体用法？Python MetadataMap.isNumericCategory怎么用？Python MetadataMap.isNumericCategory使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类qiime.util.MetadataMap的用法示例。
在下文中一共展示了MetadataMap.isNumericCategory方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: MetadataMap
# 需要导入模块: from qiime.util import MetadataMap [as 别名]
# 或者: from qiime.util.MetadataMap import isNumericCategory [as 别名]
# the MetadataMap object makes some checks easier
map_object = MetadataMap(mapping_file_to_dict(mapping_data, header), [])
for axis in custom_axes:
# append the field to the error queue that it belongs to
if axis not in lookup_header:
offending_fields.append(axis)
break
# make sure this value is in the mapping file
elif axis not in color_by_column_names:
color_by_column_names.append(axis)
# perform only if the for loop does not call break
else:
# make sure all these axes are numeric
for axis in custom_axes:
if map_object.isNumericCategory(axis) == False:
non_numeric_categories.append(axis)
# make multiple checks for the add_vectors option
if add_vectors != [None, None]:
add_vectors = add_vectors.split(',')
# check there are at the most two categories specified for this option
if len(add_vectors) > 2:
option_parser.error("The '--add_vectors' option can accept up to "
"two different fields from the mapping file; currently trying "
"to use %d (%s)." % (len(add_vectors), ', '.join(add_vectors)))
# make sure the field(s) exist
for col in add_vectors:
# concatenated fields are allowed now so check for each field
if '&&' in col:
for _col in col.split('&&'):