QIIME1.9.1:summarize

summarize"/>

QIIME1.9.1:summarize

QIIME中的画图命令summarize_taxa_through_plots.py需要调用matplotlib，而matplotlib版本在进化上参数名有重大变化，导致最新版的matplotlib不能出图，报错如下：
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
Traceback (most recent call last):
  File "/usr/local/bin/summarize_taxa_through_plots.py", line 143, in <module>
    main()
  File "/usr/local/bin/summarize_taxa_through_plots.py", line 140, in main
    status_update_callback=status_update_callback)
  File "/usr/local/lib/python2.7/dist-packages/qiime/workflow/downstream.py", line 711, in run_summarize_taxa_through_plots
    close_logger_on_success=close_logger_on_success)
  File "/usr/local/lib/python2.7/dist-packages/qiime/workflow/util.py", line 122, in call_commands_serially
    raise WorkflowError(msg)
qiime.workflow.util.WorkflowError:
*** ERROR RAISED DURING STEP: Plot Taxonomy Summary
Command run was:
 plot_taxa_summary.py -i otu_table_silva_97_summary/otu_table_silva_97_L2.txt,otu_table_silva_97_summary/otu_table_silva_97_L3.txt,otu_table_silva_97_summary/otu_table_silva_97_L4.txt,otu_table_silva_97_summary/otu_table_silva_97_L5.txt,otu_table_silva_97_summary/otu_table_silva_97_L6.txt -o otu_table_silva_97_summary/taxa_summary_plots/
Command returned exit status: 1
Stdout:
Stderr
/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
Traceback (most