rnalysis.filtering.DESeqFilter.tail

DESeqFilter.tail(n: PositiveInt = 5) → DataFrame

Return the last n rows of the Filter object. See polars.DataFrame.tail documentation.

Parameters:

n (positive int, default 5) – Number of rows to show.

Return type:

pl.DataFrame

Returns:

returns the last n rows of the Filter object.

Examples:

>>> from rnalysis import filtering
>>> d = filtering.Filter("tests/test_files/test_deseq.csv")
>>> d.tail()
shape: (5, 7)
┌────────────────┬─────────────┬────────────────┬──────────┬────────────┬────────────┬────────────┐
│                ┆ baseMean    ┆ log2FoldChange ┆ lfcSE    ┆ stat       ┆ pvalue     ┆ padj       │
│ ---            ┆ ---         ┆ ---            ┆ ---      ┆ ---        ┆ ---        ┆ ---        │
│ str            ┆ f64         ┆ f64            ┆ f64      ┆ f64        ┆ f64        ┆ f64        │
╞════════════════╪═════════════╪════════════════╪══════════╪════════════╪════════════╪════════════╡
│ WBGene00000025 ┆ 2236.185837 ┆ 2.477374       ┆ 0.129606 ┆ 19.114626  ┆ 1.9100e-81 ┆ 1.4600e-78 │
│ WBGene00000026 ┆ 343.648987  ┆ -4.037191      ┆ 0.219781 ┆ -18.369115 ┆ 2.3200e-75 ┆ 1.7000e-72 │
│ WBGene00000027 ┆ 175.142856  ┆ 6.352044       ┆ 0.347777 ┆ 18.264706  ┆ 1.5800e-74 ┆ 1.1200e-71 │
│ WBGene00000028 ┆ 219.1632    ┆ 3.913657       ┆ 0.217802 ┆ 17.968851  ┆ 3.4200e-72 ┆ 2.3200e-69 │
│ WBGene00000029 ┆ 1066.242402 ┆ -2.811281      ┆ 0.158284 ┆ -17.761002 ┆ 1.4200e-70 ┆ 9.2900e-68 │
└────────────────┴─────────────┴────────────────┴──────────┴────────────┴────────────┴────────────┘

>>> d.tail(8) # returns the last 8 rows
shape: (8, 7)
┌────────────────┬─────────────┬────────────────┬──────────┬────────────┬────────────┬────────────┐
│                ┆ baseMean    ┆ log2FoldChange ┆ lfcSE    ┆ stat       ┆ pvalue     ┆ padj       │
│ ---            ┆ ---         ┆ ---            ┆ ---      ┆ ---        ┆ ---        ┆ ---        │
│ str            ┆ f64         ┆ f64            ┆ f64      ┆ f64        ┆ f64        ┆ f64        │
╞════════════════╪═════════════╪════════════════╪══════════╪════════════╪════════════╪════════════╡
│ WBGene00000022 ┆ 365.813048  ┆ 6.101303       ┆ 0.291484 ┆ 20.931891  ┆ 2.7400e-97 ┆ 2.4000e-94 │
│ WBGene00000023 ┆ 3168.566714 ┆ 3.906719       ┆ 0.190439 ┆ 20.514331  ┆ 1.6000e-93 ┆ 1.3400e-90 │
│ WBGene00000024 ┆ 221.925724  ┆ 4.801676       ┆ 0.246313 ┆ 19.494189  ┆ 1.2300e-84 ┆ 9.8200e-82 │
│ WBGene00000025 ┆ 2236.185837 ┆ 2.477374       ┆ 0.129606 ┆ 19.114626  ┆ 1.9100e-81 ┆ 1.4600e-78 │
│ WBGene00000026 ┆ 343.648987  ┆ -4.037191      ┆ 0.219781 ┆ -18.369115 ┆ 2.3200e-75 ┆ 1.7000e-72 │
│ WBGene00000027 ┆ 175.142856  ┆ 6.352044       ┆ 0.347777 ┆ 18.264706  ┆ 1.5800e-74 ┆ 1.1200e-71 │
│ WBGene00000028 ┆ 219.1632    ┆ 3.913657       ┆ 0.217802 ┆ 17.968851  ┆ 3.4200e-72 ┆ 2.3200e-69 │
│ WBGene00000029 ┆ 1066.242402 ┆ -2.811281      ┆ 0.158284 ┆ -17.761002 ┆ 1.4200e-70 ┆ 9.2900e-68 │
└────────────────┴─────────────┴────────────────┴──────────┴────────────┴────────────┴────────────┘