ggmap's People
ggmap's Issues
taxplot: new parameter to specify how many taxa should be plotted (instead of minreadnr)
rarefaction should preserve taxonomy if present
gray scale bars for low abundant taxa
seaborn version
I need to update to latest seaborn and adjust all truth images :-/
executor: check crawldir by default
include calour in requirements
rephrase docstring for find_diff_taxa
check if sepp need "environment"
cache: auto remove
automatically remove cache file if size == 0b because this is due to a faulty run
add picrust to analyses
wait for alpha diversity
executor: include timing as default
create a conda recipe
create general caching function
user defined path for temporary directory
The function "_executor" in the script "analysis.py" at the path "ggmap/ggmap/analysis.py" should provide a new parameter to set a user defined path for "dir_temp" when using "use_grid".
make taxplot part of plot() not a separate figure
Add reference to switch to Challenge 1 before doing step 8
unittest drawMap
currently, there is no unittest for drawMap in place, also the docstring is quite ugly.
rarefaction curves
rarefaction curves in QIIME cause some problems + are ugly, i.e. re-scaling is not possible. I also don't understand why it is necessary to look at several metadata columns.
Therefore, I should go with plt.plot() and do the single plots by myself.
Also: caching is possible when storing grouped values instead of IMAGES.
add bugbase to analyses
space between every bar
Emperor
add a function to create emperor plots for given beta div dict and metadata.
unit tests for all three functions for find_diff_taxa
cover snippets functions with unittests
Challenge 2: insert ppn=1
FutureWarning - corr_diversity
/tmp/ipykernel_2096454/2665748023.py:1: FutureWarning: iteritems is deprecated and will be removed in a future version. Use .items instead.
sig_cols = {k for k,v in corr_diversity['results'].groupby('column')['p-value'].min().iteritems()
hide sample numbers
move "plot" function to snippets
FutureWarning - plotTaxonomy
/homes/tbaeuerl/ggmap/ggmap/snippets.py:449: FutureWarning: The default value of numeric_only in DataFrameGroupBy.sum is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.
counts_taxonomy = counts_taxonomy.reset_index().groupby(rank).sum()
/homes/tbaeuerl/ggmap/ggmap/snippets.py:702: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
rank_counts = rank_counts.append(lowReadTaxa)
timing & SEPP
Why is stderr and stdout in wrong places ./ instead of TMP/ ?
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