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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "62252039-37f7-467f-bde2-0a576770d4be",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e9f9088b-aab7-4faf-a158-5b6e51d1b1bc",
"metadata": {},
"outputs": [],
"source": [
"features = [\n",
" # \"batting_team\",\n",
" # \"bowling_team\",\n",
" # \"balls\",\n",
" # \"runs\",\n",
" # \"wickets\",\n",
" \"wkt_last_5_overs\",\n",
" # \"runrate_last_5_overs\",\n",
" \"current_RR\",\n",
" # \"average\",\n",
" \"balls_left\",\n",
" \"wkts_left\",\n",
" # \"required_RR\",\n",
" # \"projected_score_more\",\n",
" # \"min_score_more\",\n",
" # \"max_score_more\",\n",
" # \"projected_avg_score_more\",\n",
" \"runrate_last_5_overs-current_RR\",\n",
" \"deviation_from_projected\",\n",
"]\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "7694e380-b6d3-4d56-af94-66f5233e6c49",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/media/instantinopaul/data/Code/ML/github.com/scorepredictor/env/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
" from .autonotebook import tqdm as notebook_tqdm\n"
]
}
],
"source": [
"from ydata_profiling import ProfileReport"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "4845035c-3501-4eb0-a67b-0bbc5e289a8b",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/media/instantinopaul/data/Code/ML/github.com/scorepredictor/env/lib/python3.10/site-packages/ydata_profiling/utils/dataframe.py:137: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" df.rename(columns={\"index\": \"df_index\"}, inplace=True)\n",
"Summarize dataset: 0%| | 0/5 [00:00<?, ?it/s]/media/instantinopaul/data/Code/ML/github.com/scorepredictor/env/lib/python3.10/site-packages/ydata_profiling/model/typeset.py:125: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
" not pdt.is_categorical_dtype(series)\n",
"Summarize dataset: 100%|██████████| 51/51 [00:11<00:00, 4.50it/s, Completed] \n",
"Generate report structure: 100%|██████████| 1/1 [00:02<00:00, 2.68s/it]\n",
"Render HTML: 100%|██████████| 1/1 [00:01<00:00, 1.43s/it]\n",
"Export report to file: 100%|██████████| 1/1 [00:00<00:00, 210.06it/s]\n"
]
}
],
"source": [
"df=pd.read_feather('data/t20features.feather')\n",
"r=ProfileReport(df[features])\n",
"r.to_file('result/profilereportT20.html')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "1272e5c3-2a60-4966-b70a-43f49101a5a9",
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/media/instantinopaul/data/Code/ML/github.com/scorepredictor/env/lib/python3.10/site-packages/ydata_profiling/utils/dataframe.py:137: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
" df.rename(columns={\"index\": \"df_index\"}, inplace=True)\n",
"Summarize dataset: 0%| | 0/5 [00:00<?, ?it/s]/media/instantinopaul/data/Code/ML/github.com/scorepredictor/env/lib/python3.10/site-packages/ydata_profiling/model/typeset.py:208: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
" is_valid_dtype = pdt.is_categorical_dtype(series) and not pdt.is_bool_dtype(\n",
"Summarize dataset: 100%|██████████| 51/51 [00:07<00:00, 7.05it/s, Completed] \n",
"Generate report structure: 100%|██████████| 1/1 [00:02<00:00, 2.76s/it]\n",
"Render HTML: 100%|██████████| 1/1 [00:01<00:00, 1.32s/it]\n",
"Export report to file: 100%|██████████| 1/1 [00:00<00:00, 121.46it/s]\n"
]
}
],
"source": [
"df=pd.read_feather('data/odifeatures.feather')\n",
"r=ProfileReport(df[features])\n",
"r.to_file('result/profilereportODI.html')"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e55fd847-05c8-47dc-aedc-9b96c23b4aa6",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "cricpred",
"language": "python",
"name": "cricpred"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|