\n",
" Copyable Markdown
\n",
" | Package | Version |\n",
"| ---------- | ----------------------- |\n",
"| pandas | 2.3.1 |\n",
"| scanpy | 1.12.0.dev103+g623de116 |\n",
"| matplotlib | 3.10.3 |\n",
"\n",
"| Dependency | Version |\n",
"| ----------------------------- | ----------- |\n",
"| comm | 0.2.3 |\n",
"| psutil | 7.0.0 |\n",
"| typing_extensions | 4.14.1 |\n",
"| anndata | 0.12.1 |\n",
"| stack-data | 0.6.3 |\n",
"| wcwidth | 0.2.13 |\n",
"| debugpy | 1.8.15 |\n",
"| cycler | 0.12.1 |\n",
"| PyYAML | 6.0.2 |\n",
"| legacy-api-wrap | 1.4.1 |\n",
"| threadpoolctl | 3.6.0 |\n",
"| pyzmq | 27.0.0 |\n",
"| ipykernel | 6.30.0 |\n",
"| fast-array-utils | 1.2.1 |\n",
"| traitlets | 5.14.3 |\n",
"| zarr | 3.1.0 |\n",
"| numpy | 2.2.6 |\n",
"| pytz | 2025.2 |\n",
"| sphinxcontrib-applehelp | 2.0.0 |\n",
"| tornado | 6.5.1 |\n",
"| joblib | 1.5.1 |\n",
"| Pygments | 2.19.2 |\n",
"| decorator | 5.2.1 |\n",
"| h5py | 3.14.0 |\n",
"| ipywidgets | 8.1.7 |\n",
"| donfig | 0.8.1.post1 |\n",
"| crc32c | 2.7.1 |\n",
"| numba | 0.61.2 |\n",
"| jupyter_client | 8.6.3 |\n",
"| sphinxcontrib-htmlhelp | 2.1.0 |\n",
"| scipy | 1.15.3 |\n",
"| sphinxcontrib-serializinghtml | 2.0.0 |\n",
"| executing | 2.2.0 |\n",
"| ipython | 9.4.0 |\n",
"| pillow | 11.3.0 |\n",
"| kiwisolver | 1.4.8 |\n",
"| sphinxcontrib-jsmath | 1.0.1 |\n",
"| numcodecs | 0.16.1 |\n",
"| sphinxcontrib-qthelp | 2.0.0 |\n",
"| charset-normalizer | 3.4.2 |\n",
"| jedi | 0.19.2 |\n",
"| sphinxcontrib-devhelp | 2.0.0 |\n",
"| llvmlite | 0.44.0 |\n",
"| matplotlib-inline | 0.1.7 |\n",
"| asttokens | 3.0.0 |\n",
"| pyparsing | 3.2.3 |\n",
"| platformdirs | 4.3.8 |\n",
"| six | 1.17.0 |\n",
"| jupyter_core | 5.8.1 |\n",
"| prompt_toolkit | 3.0.51 |\n",
"| python-dateutil | 2.9.0.post0 |\n",
"| session-info2 | 0.2 |\n",
"| packaging | 25.0 |\n",
"| parso | 0.8.4 |\n",
"| natsort | 8.4.0 |\n",
"| scikit-learn | 1.7.1 |\n",
"| pure_eval | 0.2.3 |\n",
"\n",
"| Component | Info |\n",
"| --------- | ---------------------------------------------------------- |\n",
"| Python | 3.13.5 (main, Jun 21 2025, 09:35:00) [GCC 15.1.1 20250425] |\n",
"| OS | Linux-6.15.8-zen1-1-zen-x86_64-with-glibc2.41 |\n",
"| CPU | 16 logical CPU cores |\n",
"| GPU | No GPU found |\n",
"| Updated | 2025-07-30 13:03 |\n",
" "
],
"text/markdown": [
"| Package | Version |\n",
"| ---------- | ----------------------- |\n",
"| pandas | 2.3.1 |\n",
"| scanpy | 1.12.0.dev103+g623de116 |\n",
"| matplotlib | 3.10.3 |\n",
"\n",
"| Dependency | Version |\n",
"| ----------------------------- | ----------- |\n",
"| comm | 0.2.3 |\n",
"| psutil | 7.0.0 |\n",
"| typing_extensions | 4.14.1 |\n",
"| anndata | 0.12.1 |\n",
"| stack-data | 0.6.3 |\n",
"| wcwidth | 0.2.13 |\n",
"| debugpy | 1.8.15 |\n",
"| cycler | 0.12.1 |\n",
"| PyYAML | 6.0.2 |\n",
"| legacy-api-wrap | 1.4.1 |\n",
"| threadpoolctl | 3.6.0 |\n",
"| pyzmq | 27.0.0 |\n",
"| ipykernel | 6.30.0 |\n",
"| fast-array-utils | 1.2.1 |\n",
"| traitlets | 5.14.3 |\n",
"| zarr | 3.1.0 |\n",
"| numpy | 2.2.6 |\n",
"| pytz | 2025.2 |\n",
"| sphinxcontrib-applehelp | 2.0.0 |\n",
"| tornado | 6.5.1 |\n",
"| joblib | 1.5.1 |\n",
"| Pygments | 2.19.2 |\n",
"| decorator | 5.2.1 |\n",
"| h5py | 3.14.0 |\n",
"| ipywidgets | 8.1.7 |\n",
"| donfig | 0.8.1.post1 |\n",
"| crc32c | 2.7.1 |\n",
"| numba | 0.61.2 |\n",
"| jupyter_client | 8.6.3 |\n",
"| sphinxcontrib-htmlhelp | 2.1.0 |\n",
"| scipy | 1.15.3 |\n",
"| sphinxcontrib-serializinghtml | 2.0.0 |\n",
"| executing | 2.2.0 |\n",
"| ipython | 9.4.0 |\n",
"| pillow | 11.3.0 |\n",
"| kiwisolver | 1.4.8 |\n",
"| sphinxcontrib-jsmath | 1.0.1 |\n",
"| numcodecs | 0.16.1 |\n",
"| sphinxcontrib-qthelp | 2.0.0 |\n",
"| charset-normalizer | 3.4.2 |\n",
"| jedi | 0.19.2 |\n",
"| sphinxcontrib-devhelp | 2.0.0 |\n",
"| llvmlite | 0.44.0 |\n",
"| matplotlib-inline | 0.1.7 |\n",
"| asttokens | 3.0.0 |\n",
"| pyparsing | 3.2.3 |\n",
"| platformdirs | 4.3.8 |\n",
"| six | 1.17.0 |\n",
"| jupyter_core | 5.8.1 |\n",
"| prompt_toolkit | 3.0.51 |\n",
"| python-dateutil | 2.9.0.post0 |\n",
"| session-info2 | 0.2 |\n",
"| packaging | 25.0 |\n",
"| parso | 0.8.4 |\n",
"| natsort | 8.4.0 |\n",
"| scikit-learn | 1.7.1 |\n",
"| pure_eval | 0.2.3 |\n",
"\n",
"| Component | Info |\n",
"| --------- | ---------------------------------------------------------- |\n",
"| Python | 3.13.5 (main, Jun 21 2025, 09:35:00) [GCC 15.1.1 20250425] |\n",
"| OS | Linux-6.15.8-zen1-1-zen-x86_64-with-glibc2.41 |\n",
"| CPU | 16 logical CPU cores |\n",
"| GPU | No GPU found |\n",
"| Updated | 2025-07-30 13:03 |"
],
"text/plain": [
"pandas\t2.3.1\n",
"scanpy\t1.12.0.dev103+g623de116\n",
"matplotlib\t3.10.3\n",
"----\t----\n",
"comm\t0.2.3\n",
"psutil\t7.0.0\n",
"typing_extensions\t4.14.1\n",
"anndata\t0.12.1\n",
"stack-data\t0.6.3\n",
"wcwidth\t0.2.13\n",
"debugpy\t1.8.15\n",
"cycler\t0.12.1\n",
"PyYAML\t6.0.2\n",
"legacy-api-wrap\t1.4.1\n",
"threadpoolctl\t3.6.0\n",
"pyzmq\t27.0.0\n",
"ipykernel\t6.30.0\n",
"fast-array-utils\t1.2.1\n",
"traitlets\t5.14.3\n",
"zarr\t3.1.0\n",
"numpy\t2.2.6\n",
"pytz\t2025.2\n",
"sphinxcontrib-applehelp\t2.0.0\n",
"tornado\t6.5.1\n",
"joblib\t1.5.1\n",
"Pygments\t2.19.2\n",
"decorator\t5.2.1\n",
"h5py\t3.14.0\n",
"ipywidgets\t8.1.7\n",
"donfig\t0.8.1.post1\n",
"crc32c\t2.7.1\n",
"numba\t0.61.2\n",
"jupyter_client\t8.6.3\n",
"sphinxcontrib-htmlhelp\t2.1.0\n",
"scipy\t1.15.3\n",
"sphinxcontrib-serializinghtml\t2.0.0\n",
"executing\t2.2.0\n",
"ipython\t9.4.0\n",
"pillow\t11.3.0\n",
"kiwisolver\t1.4.8\n",
"sphinxcontrib-jsmath\t1.0.1\n",
"numcodecs\t0.16.1\n",
"sphinxcontrib-qthelp\t2.0.0\n",
"charset-normalizer\t3.4.2\n",
"jedi\t0.19.2\n",
"sphinxcontrib-devhelp\t2.0.0\n",
"llvmlite\t0.44.0\n",
"matplotlib-inline\t0.1.7\n",
"asttokens\t3.0.0\n",
"pyparsing\t3.2.3\n",
"platformdirs\t4.3.8\n",
"six\t1.17.0\n",
"jupyter_core\t5.8.1\n",
"prompt_toolkit\t3.0.51\n",
"python-dateutil\t2.9.0.post0\n",
"session-info2\t0.2\n",
"packaging\t25.0\n",
"parso\t0.8.4\n",
"natsort\t8.4.0\n",
"scikit-learn\t1.7.1\n",
"pure_eval\t0.2.3\n",
"----\t----\n",
"Python\t3.13.5 (main, Jun 21 2025, 09:35:00) [GCC 15.1.1 20250425]\n",
"OS\tLinux-6.15.8-zen1-1-zen-x86_64-with-glibc2.41\n",
"CPU\t16 logical CPU cores\n",
"GPU\tNo GPU found\n",
"Updated\t2025-07-30 13:03"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sc.settings.verbosity = 3 # verbosity: errors (0), warnings (1), info (2), hints (3)\n",
"sc.set_figure_params(dpi=80, facecolor=\"white\")\n",
"sc.logging.print_header()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"results_file = \"write/pbmc3k.h5ad\" # the file that will store the analysis results"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Read in the count matrix into an {class}`~anndata.AnnData` object, which holds many slots for annotations and different representations of the data. It also comes with its own HDF5-based file format: `.h5ad`."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"... reading from cache file cache/data-filtered_gene_bc_matrices-hg19-matrix.h5ad\n"
]
}
],
"source": [
"adata = sc.read_10x_mtx(\n",
" \"data/filtered_gene_bc_matrices/hg19/\", # the directory with the `.mtx` file\n",
" var_names=\"gene_symbols\", # use gene symbols for the variable names (variables-axis index)\n",
" cache=True, # write a cache file for faster subsequent reading\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"AnnData object with n_obs × n_vars = 2700 × 32738\n",
" var: 'gene_ids'"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"adata"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
":::{note}\n",
"See {doc}`anndata:tutorials/notebooks/getting-started` for a more comprehensive introduction to `AnnData`.\n",
":::"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"adata.var_names_make_unique() # this is unnecessary if using `var_names='gene_ids'` in `sc.read_10x_mtx`"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"AnnData object with n_obs × n_vars = 2700 × 32738\n",
" var: 'gene_ids'"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# To match R results, do: `adata.X = adata.X.astype(\"int32\")`\n",
"adata"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Preprocessing"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Show those genes that yield the highest fraction of counts in each single cell, across all cells."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"normalizing counts per cell\n",
" finished (0:00:01)\n"
]
},
{
"data": {
"image/png": 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",
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