Mercurial > repos > iuc > anndata_inspect
view loompy_to_tsv.py @ 7:038e32885fec draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/anndata/ commit 6497f5415b57bedd849b876883574b3f0050741a"
author | iuc |
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date | Thu, 07 Jan 2021 23:26:43 +0000 |
parents | 286a24ac079c |
children | ee98d611afc6 |
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#!/usr/bin/env python """Converts a loompy file to tsv file(s). Each layer becomes a new file.""" import argparse import loompy parser = argparse.ArgumentParser(description="Loompy file converter flags") parser.add_argument('--version', action='version', version='%(prog)s 0.1.0', help="Displays tool version") parser.add_argument("-f", "--file", help="loom file to import") args = parser.parse_args() file = args.file matrices = [] allcols = [] colstrings = [] allrows = [] # Build background info for all attributes and layers loompyfile = loompy.connect(file) row_attributes = loompyfile.ra.keys() # List of row attributes for row in row_attributes: # Each list represents rownames for row_attributes c_row = loompyfile.ra[row] c_row = [str(r) for r in c_row] allrows.append(c_row) col_attributes = loompyfile.ca.keys() # List of column attributes for col in col_attributes: # each list represents colnames for col_attributes c_col = loompyfile.ca[col] c_col = [str(c) for c in c_col] allcols.append(c_col) layers = loompyfile.layers.keys() # List of layers for layer in layers: # List with each element being a loompy layer c_layer = loompyfile[layer] c_layer = c_layer[:, :] c_layer = c_layer.astype(str) matrices.append(c_layer) # Create column attribute output with open("attributes/col_attr.tsv", "w") as colout: col_attributes = "\t".join(col_attributes) + "\n" colout.write(col_attributes) for length in range(0, len(c_col)): attributestring = "" for col in allcols: attributestring = attributestring + col[length] + "\t" while attributestring[-1] == "\t": attributestring = attributestring[:-1] colout.write(attributestring) colout.write("\n") # Create row attribute output with open("attributes/row_attr.tsv", "w") as rowout: row_attributes = "\t".join(row_attributes) + "\n" rowout.write(row_attributes) for length in range(0, len(c_row)): attributestring = "" for row in allrows: attributestring = attributestring + row[length] + "\t" while attributestring[-1] == "\t": attributestring = attributestring[:-1] rowout.write(attributestring) rowout.write("\n") # Build output files for each layer for x in range(0, len(layers)): # Output file name generation if layers[x] in layers[0: x]: # Different output names if layers have same names somehow repeats = layers[0, x].count(layer[x]) outputname = "output/" + layers[x] + repeats + ".tsv" elif layers[x] == "": # Empty layer name outputname = "output/mainmatrix.tsv" else: outputname = "output/" + str(layers[x]) + ".tsv" # Usual case # Matrix output with open(outputname, "w") as outputmatrix: for line in matrices[x]: line = "\t".join(line) line += "\n" line = line outputmatrix.write(line)