Created
May 21, 2022 21:06
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Example of how to convert biom format data to a tsv file
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# requires the package 'json-stream' | |
import json_stream | |
import os | |
import shutil | |
scratchDir = "scratch" | |
def get_biom_row_count(biomFileName): | |
biomFile = open(biomFileName) | |
biomData = json_stream.load(biomFile) | |
shape = biomData["shape"] | |
rowCount = shape[0] | |
columnCount = shape[1] | |
biomFile.close() | |
return rowCount, columnCount | |
def build_tsv_file(biomFileName, tsvFileName): | |
rowCount, columnCount = get_biom_row_count(biomFileName) | |
tsvFile = open(f"{scratchDir}/{tsvFileName}", "w") | |
for rowIdx in range(rowCount): | |
rowFile = open(f"{scratchDir}/{rowIdx}") | |
columns = [] | |
for _ in range(columnCount + 1): | |
columns.append("0.0") | |
for columnDataStr in rowFile.readlines(): | |
columnData = columnDataStr.split(",") | |
columnIdx = int(columnData[0]) | |
columnValue = columnData[1].replace("\n", "") | |
if columnIdx != 0: | |
columnValue = f"{float(columnValue)}" | |
columns[columnIdx] = columnValue | |
rowFile.close() | |
tsvFile.write("\t".join(columns)) | |
tsvFile.write("\n") | |
tsvFile.close() | |
def dump_biom_rows(biomFileName): | |
biomFile = open(biomFileName) | |
biomData = json_stream.load(biomFile) | |
manualRowIdx = 0 | |
for row in biomData["rows"]: | |
rowId = row["id"] | |
rowHandle = open(f"{scratchDir}/{manualRowIdx}", "w") | |
rowHandle.write(f"0,{rowId}\n") | |
rowHandle.close() | |
manualRowIdx = manualRowIdx + 1 | |
for dataRow in biomData["data"]: | |
rowIdx = dataRow[0] | |
rowHandle = open(f"{scratchDir}/{rowIdx}", "a") | |
rowHandle.write(f"{dataRow[1] + 1},{dataRow[2]}\n") | |
rowHandle.close() | |
biomFile.close() | |
def init_scratch_dir(): | |
if os.path.isdir(scratchDir): | |
shutil.rmtree(scratchDir) | |
os.makedirs(scratchDir) | |
init_scratch_dir() | |
dump_biom_rows("min_sparse_otu_table.biom") | |
build_tsv_file("min_sparse_otu_table.biom", "min_sparse_otu_table.tsv") |
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