suche nach augensignalen

This commit is contained in:
Celina Korzer 2025-10-16 15:45:22 +02:00
parent 3d3f7bb14b
commit 8d06bb5f5d

121
EDA.ipynb
View File

@ -23,7 +23,7 @@
"metadata": {},
"outputs": [],
"source": [
"file_path = \"adabase-public-0001-v_0_0_2.h5py\""
"file_path = \"adabase-public-0020-v_0_0_2.h5py\""
]
},
{
@ -51,6 +51,125 @@
"df_signals = pd.read_hdf(file_path, \"SIGNALS\", mode=\"r\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b7f494d1",
"metadata": {},
"outputs": [],
"source": [
"pd.set_option('display.max_columns', None)\n",
"pd.set_option('display.max_rows', None)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "dd2f4d84",
"metadata": {},
"outputs": [],
"source": [
"settings = df_signals[['STUDY','PHASE','LEVEL']]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1699ddc2",
"metadata": {},
"outputs": [],
"source": [
"settings.value_counts()"
]
},
{
"cell_type": "markdown",
"id": "a4731c56",
"metadata": {},
"source": [
"Actions units"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9db0b4b2",
"metadata": {},
"outputs": [],
"source": [
"df_signals.columns"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3ceccc89",
"metadata": {},
"outputs": [],
"source": [
"au_data = df_signals.iloc[:,-20:]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3d4ee088",
"metadata": {},
"outputs": [],
"source": [
"au_data.tail()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5d85a8cb",
"metadata": {},
"outputs": [],
"source": [
"print(au_data.shape)\n",
"print(au_data.isna().sum())"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "efff356f",
"metadata": {},
"outputs": [],
"source": [
"clean_au_data = au_data.dropna()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "42ed1bcd",
"metadata": {},
"outputs": [],
"source": [
"clean_au_data.shape"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2c7c3f14",
"metadata": {},
"outputs": [],
"source": [
"for i in range(len(clean_au_data.columns)):\n",
" print(clean_au_data.iloc[:,i].unique())"
]
},
{
"cell_type": "markdown",
"id": "332740a8",
"metadata": {},
"source": [
"Plots"
]
},
{
"cell_type": "code",
"execution_count": null,