I got an error while running the command in QIIME2-2018.11 version installed using conda.
**
qiime itsxpress trim-pair-output-unmerged --i-per-sample-sequences Run20190502_demux-paired-end.qza --p-region ALL --p-taxa F --p-cluster-id 1.0 --p-threads 20 --o-trimmed trimmed_exact.qza
Saved SampleData[PairedEndSequencesWithQuality] to: trimmed_exact.qza
qiime demux summarize --i-data trimmed_exact.qza --o-visualization trimmed_exact.qzv**
Plugin error from demux:
** Cannot describe a DataFrame without columns**
Debug info has been saved to /tmp/qiime2-q2cli-err-gql78ig3.log
(qiime2-2018.11) jsb562@pallas:/mibi/users/jsb562/ITS_pilot/ITSxpress$
(qiime2-2018.11) jsb562@pallas:/mibi/users/jsb562/ITS_pilot/ITSxpress$ cat /tmp/qiime2-q2cli-err-gql78ig3.log
Traceback (most recent call last):
** File “/mibi/users/jsb562/miniconda2/envs/qiime2-2018.11/lib/python3.5/site-packages/q2cli/commands.py”, line 274, in call**
** results = action(arguments)
** File “”, line 2, in summarize**
** File “/mibi/users/jsb562/miniconda2/envs/qiime2-2018.11/lib/python3.5/site-packages/qiime2/sdk/action.py”, line 231, in bound_callable**
** output_types, provenance)**
** File “/mibi/users/jsb562/miniconda2/envs/qiime2-2018.11/lib/python3.5/site-packages/qiime2/sdk/action.py”, line 424, in callable_executor**
** ret_val = self._callable(output_dir=temp_dir, view_args)
** File “/mibi/users/jsb562/miniconda2/envs/qiime2-2018.11/lib/python3.5/site-packages/q2_demux/_summarize/_visualizer.py”, line 165, in summarize**
** forward_stats = _compute_stats_of_df(forward_scores)**
** File “/mibi/users/jsb562/miniconda2/envs/qiime2-2018.11/lib/python3.5/site-packages/q2_demux/_summarize/_visualizer.py”, line 92, in _compute_stats_of_df**
** percentiles=[0.02, 0.09, 0.25, 0.5, 0.75, 0.91, 0.98])**
** File “/mibi/users/jsb562/miniconda2/envs/qiime2-2018.11/lib/python3.5/site-packages/pandas/core/generic.py”, line 6751, in describe**
** raise ValueError(“Cannot describe a DataFrame without columns”)**
ValueError: Cannot describe a DataFrame without columns
I am trying to run this tutorial on my own data. Any suggestions?