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August 13, 2024 10:23
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"id": "d30d1c6f", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import bioframe\n", | |
"import pypairix\n", | |
"import dask.dataframe as dd\n", | |
"import dask.array as da\n", | |
"import polars as pl\n", | |
"import pandas as pd" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"id": "f15833ff", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# add later properties, like: columns, parallel, use_statistics, low_memory, memory_map+use_pyarrow=True.\n", | |
"\n", | |
"df = pl.scan_parquet('pairsToPolarsgzip.parquet', hive_schema={\"read_id\": pl.String, \"chrom1\": pl.String, \"pos1\":pl.UInt32, \"chrom2\": pl.String, \"pos2\":pl.UInt32, \"strand1\":pl.String, \"strand2\":pl.String, \"pairs_type\":pl.String})" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"id": "a9811098", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<div><style>\n", | |
".dataframe > thead > tr,\n", | |
".dataframe > tbody > tr {\n", | |
" text-align: right;\n", | |
" white-space: pre-wrap;\n", | |
"}\n", | |
"</style>\n", | |
"<small>shape: (65_220_657, 8)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>read_id</th><th>chrom1</th><th>pos1</th><th>chrom2</th><th>pos2</th><th>strand1</th><th>strand2</th><th>pairs_type</th></tr><tr><td>str</td><td>str</td><td>u32</td><td>str</td><td>u32</td><td>str</td><td>str</td><td>str</td></tr></thead><tbody><tr><td>"."</td><td>"chr1"</td><td>3000037</td><td>"chr1"</td><td>3139797</td><td>"-"</td><td>"-"</td><td>"LL"</td></tr><tr><td>"."</td><td>"chr1"</td><td>3000088</td><td>"chr1"</td><td>42957984</td><td>"-"</td><td>"+"</td><td>"LL"</td></tr><tr><td>"."</td><td>"chr1"</td><td>3000112</td><td>"chr1"</td><td>5448692</td><td>"-"</td><td>"+"</td><td>"LL"</td></tr><tr><td>"."</td><td>"chr1"</td><td>3000227</td><td>"chr1"</td><td>27069655</td><td>"+"</td><td>"-"</td><td>"LL"</td></tr><tr><td>"."</td><td>"chr1"</td><td>3000228</td><td>"chr1"</td><td>87485253</td><td>"+"</td><td>"+"</td><td>"LL"</td></tr><tr><td>…</td><td>…</td><td>…</td><td>…</td><td>…</td><td>…</td><td>…</td><td>…</td></tr><tr><td>"."</td><td>"chrY"</td><td>2902279</td><td>"chrY"</td><td>2902428</td><td>"+"</td><td>"-"</td><td>"LL"</td></tr><tr><td>"."</td><td>"chrY"</td><td>2902282</td><td>"chrY"</td><td>2902487</td><td>"+"</td><td>"-"</td><td>"LL"</td></tr><tr><td>"."</td><td>"chrY"</td><td>2902286</td><td>"chrY"</td><td>2902430</td><td>"+"</td><td>"-"</td><td>"LL"</td></tr><tr><td>"."</td><td>"chrY"</td><td>2902375</td><td>"chrY"</td><td>2902555</td><td>"+"</td><td>"-"</td><td>"LL"</td></tr><tr><td>"."</td><td>"chrY"</td><td>2902405</td><td>"chrY"</td><td>2902560</td><td>"+"</td><td>"-"</td><td>"LL"</td></tr></tbody></table></div>" | |
], | |
"text/plain": [ | |
"shape: (65_220_657, 8)\n", | |
"┌─────────┬────────┬─────────┬────────┬──────────┬─────────┬─────────┬────────────┐\n", | |
"│ read_id ┆ chrom1 ┆ pos1 ┆ chrom2 ┆ pos2 ┆ strand1 ┆ strand2 ┆ pairs_type │\n", | |
"│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", | |
"│ str ┆ str ┆ u32 ┆ str ┆ u32 ┆ str ┆ str ┆ str │\n", | |
"╞═════════╪════════╪═════════╪════════╪══════════╪═════════╪═════════╪════════════╡\n", | |
"│ . ┆ chr1 ┆ 3000037 ┆ chr1 ┆ 3139797 ┆ - ┆ - ┆ LL │\n", | |
"│ . ┆ chr1 ┆ 3000088 ┆ chr1 ┆ 42957984 ┆ - ┆ + ┆ LL │\n", | |
"│ . ┆ chr1 ┆ 3000112 ┆ chr1 ┆ 5448692 ┆ - ┆ + ┆ LL │\n", | |
"│ . ┆ chr1 ┆ 3000227 ┆ chr1 ┆ 27069655 ┆ + ┆ - ┆ LL │\n", | |
"│ . ┆ chr1 ┆ 3000228 ┆ chr1 ┆ 87485253 ┆ + ┆ + ┆ LL │\n", | |
"│ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … │\n", | |
"│ . ┆ chrY ┆ 2902279 ┆ chrY ┆ 2902428 ┆ + ┆ - ┆ LL │\n", | |
"│ . ┆ chrY ┆ 2902282 ┆ chrY ┆ 2902487 ┆ + ┆ - ┆ LL │\n", | |
"│ . ┆ chrY ┆ 2902286 ┆ chrY ┆ 2902430 ┆ + ┆ - ┆ LL │\n", | |
"│ . ┆ chrY ┆ 2902375 ┆ chrY ┆ 2902555 ┆ + ┆ - ┆ LL │\n", | |
"│ . ┆ chrY ┆ 2902405 ┆ chrY ┆ 2902560 ┆ + ┆ - ┆ LL │\n", | |
"└─────────┴────────┴─────────┴────────┴──────────┴─────────┴─────────┴────────────┘" | |
] | |
}, | |
"execution_count": 4, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"\"\"\"sort pairs files \n", | |
" (the lexicographic order for chromosomes, \n", | |
" the numeric order for the positions, \n", | |
" the lexicographic order for pair types).\n", | |
"\"\"\"\n", | |
"filtered_df = df.filter(pl.col(\"pos1\").is_not_null())\n", | |
"filtered_df.sort([\"chrom1\",\"chrom2\", \"pos1\", \"pos2\", \"strand1\", \"strand2\"]).collect()" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "main", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.9.19" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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