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#3
by
Tejas12malviya
- opened
- Asia_cup/.ipynb_checkpoints/Untitled1-checkpoint.ipynb +146 -0
- Asia_cup/Procfile +1 -0
- Asia_cup/README.md +1 -0
- Asia_cup/Setup.sh +8 -0
- Asia_cup/Untitled1.ipynb +201 -0
- Asia_cup/app.py +268 -0
- Asia_cup/asiacup.csv +255 -0
- Asia_cup/requirements.txt +7 -0
Asia_cup/.ipynb_checkpoints/Untitled1-checkpoint.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "b9ffb391",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: streamlit in /home/tejas/anaconda3/lib/python3.8/site-packages (1.18.1)\n",
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"Requirement already satisfied: toml in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (0.10.2)\n",
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"Requirement already satisfied: altair>=3.2.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (4.2.2)\n",
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"Requirement already satisfied: cachetools>=4.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (5.3.0)\n",
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"Requirement already satisfied: gitpython!=3.1.19 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (3.1.30)\n",
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"Requirement already satisfied: click>=7.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (8.0.4)\n",
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"Requirement already satisfied: watchdog in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (2.1.6)\n",
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"Requirement already satisfied: typing-extensions>=3.10.0.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (4.4.0)\n",
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"Requirement already satisfied: numpy in /home/tejas/.local/lib/python3.8/site-packages (from streamlit) (1.21.2)\n",
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"Requirement already satisfied: semver in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (2.13.0)\n",
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"Requirement already satisfied: blinker>=1.0.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (1.5)\n",
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"Requirement already satisfied: validators>=0.2 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (0.20.0)\n",
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"Requirement already satisfied: tornado>=6.0.3 in /home/tejas/.local/lib/python3.8/site-packages (from streamlit) (6.1)\n",
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"Requirement already satisfied: pandas>=0.25 in /home/tejas/.local/lib/python3.8/site-packages (from streamlit) (1.3.3)\n",
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"Requirement already satisfied: pillow>=6.2.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (9.3.0)\n",
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"Requirement already satisfied: requests>=2.4 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (2.28.1)\n",
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"Requirement already satisfied: pyarrow>=4.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (11.0.0)\n",
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"Requirement already satisfied: rich>=10.11.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (13.3.1)\n",
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"Requirement already satisfied: protobuf<4,>=3.12 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (3.20.3)\n",
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"Requirement already satisfied: tzlocal>=1.1 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (4.2)\n",
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"Requirement already satisfied: pympler>=0.9 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (1.0.1)\n",
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"Requirement already satisfied: packaging>=14.1 in /home/tejas/.local/lib/python3.8/site-packages (from streamlit) (21.0)\n",
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"Requirement already satisfied: importlib-metadata>=1.4 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (4.11.3)\n",
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"Requirement already satisfied: python-dateutil in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (2.8.2)\n",
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"Requirement already satisfied: pydeck>=0.1.dev5 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (0.8.0)\n",
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"Requirement already satisfied: jsonschema>=3.0 in /home/tejas/.local/lib/python3.8/site-packages (from altair>=3.2.0->streamlit) (3.2.0)\n",
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"Requirement already satisfied: entrypoints in /home/tejas/anaconda3/lib/python3.8/site-packages (from altair>=3.2.0->streamlit) (0.4)\n",
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"Requirement already satisfied: jinja2 in /home/tejas/.local/lib/python3.8/site-packages (from altair>=3.2.0->streamlit) (3.0.1)\n",
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"Requirement already satisfied: toolz in /home/tejas/anaconda3/lib/python3.8/site-packages (from altair>=3.2.0->streamlit) (0.12.0)\n",
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"Requirement already satisfied: gitdb<5,>=4.0.1 in /home/tejas/anaconda3/lib/python3.8/site-packages (from gitpython!=3.1.19->streamlit) (4.0.10)\n",
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"Requirement already satisfied: zipp>=0.5 in /home/tejas/anaconda3/lib/python3.8/site-packages (from importlib-metadata>=1.4->streamlit) (3.11.0)\n",
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"Requirement already satisfied: pyparsing>=2.0.2 in /home/tejas/.local/lib/python3.8/site-packages (from packaging>=14.1->streamlit) (2.4.7)\n",
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"Requirement already satisfied: pytz>=2017.3 in /home/tejas/anaconda3/lib/python3.8/site-packages (from pandas>=0.25->streamlit) (2022.7)\n",
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"Requirement already satisfied: six>=1.5 in /home/tejas/anaconda3/lib/python3.8/site-packages (from python-dateutil->streamlit) (1.16.0)\n",
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"Requirement already satisfied: charset-normalizer<3,>=2 in /home/tejas/anaconda3/lib/python3.8/site-packages (from requests>=2.4->streamlit) (2.0.4)\n",
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"Requirement already satisfied: idna<4,>=2.5 in /home/tejas/anaconda3/lib/python3.8/site-packages (from requests>=2.4->streamlit) (3.4)\n",
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"Requirement already satisfied: certifi>=2017.4.17 in /home/tejas/anaconda3/lib/python3.8/site-packages (from requests>=2.4->streamlit) (2022.12.7)\n",
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"Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/tejas/anaconda3/lib/python3.8/site-packages (from requests>=2.4->streamlit) (1.26.14)\n",
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"Requirement already satisfied: pygments<3.0.0,>=2.14.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from rich>=10.11.0->streamlit) (2.14.0)\n",
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"Requirement already satisfied: markdown-it-py<3.0.0,>=2.1.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from rich>=10.11.0->streamlit) (2.1.0)\n",
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"Requirement already satisfied: pytz-deprecation-shim in /home/tejas/anaconda3/lib/python3.8/site-packages (from tzlocal>=1.1->streamlit) (0.1.0.post0)\n",
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"Requirement already satisfied: backports.zoneinfo in /home/tejas/anaconda3/lib/python3.8/site-packages (from tzlocal>=1.1->streamlit) (0.2.1)\n",
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"Requirement already satisfied: decorator>=3.4.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from validators>=0.2->streamlit) (5.1.1)\n",
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"Requirement already satisfied: smmap<6,>=3.0.1 in /home/tejas/anaconda3/lib/python3.8/site-packages (from gitdb<5,>=4.0.1->gitpython!=3.1.19->streamlit) (5.0.0)\n",
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"Requirement already satisfied: MarkupSafe>=2.0 in /home/tejas/.local/lib/python3.8/site-packages (from jinja2->altair>=3.2.0->streamlit) (2.0.1)\n",
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"Requirement already satisfied: pyrsistent>=0.14.0 in /home/tejas/.local/lib/python3.8/site-packages (from jsonschema>=3.0->altair>=3.2.0->streamlit) (0.18.0)\n",
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"Requirement already satisfied: attrs>=17.4.0 in /home/tejas/.local/lib/python3.8/site-packages (from jsonschema>=3.0->altair>=3.2.0->streamlit) (21.2.0)\n",
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"Requirement already satisfied: setuptools in /home/tejas/anaconda3/lib/python3.8/site-packages (from jsonschema>=3.0->altair>=3.2.0->streamlit) (65.6.3)\n",
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"Requirement already satisfied: mdurl~=0.1 in /home/tejas/anaconda3/lib/python3.8/site-packages (from markdown-it-py<3.0.0,>=2.1.0->rich>=10.11.0->streamlit) (0.1.2)\n",
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"Requirement already satisfied: tzdata in /home/tejas/anaconda3/lib/python3.8/site-packages (from pytz-deprecation-shim->tzlocal>=1.1->streamlit) (2022.7)\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
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]
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}
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],
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"source": [
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"pip install streamlit"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "c5afcd6c",
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"metadata": {},
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"outputs": [],
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"source": [
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"import streamlit as st"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "132dd791",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\u001b[0m\r\n",
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"\u001b[34m\u001b[1m You can now view your Streamlit app in your browser.\u001b[0m\r\n",
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"\u001b[0m\r\n",
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"\u001b[34m Local URL: \u001b[0m\u001b[1mhttp://localhost:8501\u001b[0m\r\n",
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"\u001b[34m Network URL: \u001b[0m\u001b[1mhttp://192.168.1.13:8501\u001b[0m\r\n",
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"\u001b[0m\r\n"
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]
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}
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],
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"source": [
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"!streamlit run /home/tejas/Desktop/test/python/streamlit_app.py "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b3a99bff",
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"metadata": {},
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"outputs": [],
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"source": [
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"pip install extra_streamlit_components"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1592b90d",
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"metadata": {},
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"outputs": [],
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"source": [
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"pip install streamlit_javascript"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.11"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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Asia_cup/Procfile
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web: sh Setup.sh && streamlit run streamlit_app.py
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Asia_cup/README.md
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# streamlit-to-heroku-tutorial
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Asia_cup/Setup.sh
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mkdir -p ~/.streamlit/
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echo "\
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[server]\n\
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headless = true\n\
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port = $PORT\n\
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enableCORS = false\n\
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\n\
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" > ~/.streamlit/config.toml
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Asia_cup/Untitled1.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "b9ffb391",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: streamlit in /home/tejas/anaconda3/lib/python3.8/site-packages (1.18.1)\n",
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"Requirement already satisfied: validators>=0.2 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (0.20.0)\n",
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"Requirement already satisfied: importlib-metadata>=1.4 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (4.11.3)\n",
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"Requirement already satisfied: altair>=3.2.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (4.2.2)\n",
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17 |
+
"Requirement already satisfied: blinker>=1.0.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (1.5)\n",
|
18 |
+
"Requirement already satisfied: rich>=10.11.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (13.3.1)\n",
|
19 |
+
"Requirement already satisfied: cachetools>=4.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (5.3.0)\n",
|
20 |
+
"Requirement already satisfied: tornado>=6.0.3 in /home/tejas/.local/lib/python3.8/site-packages (from streamlit) (6.1)\n",
|
21 |
+
"Requirement already satisfied: pyarrow>=4.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (11.0.0)\n",
|
22 |
+
"Requirement already satisfied: pillow>=6.2.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (9.3.0)\n",
|
23 |
+
"Requirement already satisfied: pydeck>=0.1.dev5 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (0.8.0)\n",
|
24 |
+
"Requirement already satisfied: toml in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (0.10.2)\n",
|
25 |
+
"Requirement already satisfied: click>=7.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (8.0.4)\n",
|
26 |
+
"Requirement already satisfied: numpy in /home/tejas/.local/lib/python3.8/site-packages (from streamlit) (1.21.2)\n",
|
27 |
+
"Requirement already satisfied: pympler>=0.9 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (1.0.1)\n",
|
28 |
+
"Requirement already satisfied: tzlocal>=1.1 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (4.2)\n",
|
29 |
+
"Requirement already satisfied: semver in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (2.13.0)\n",
|
30 |
+
"Requirement already satisfied: requests>=2.4 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (2.28.1)\n",
|
31 |
+
"Requirement already satisfied: watchdog in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (2.1.6)\n",
|
32 |
+
"Requirement already satisfied: gitpython!=3.1.19 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (3.1.30)\n",
|
33 |
+
"Requirement already satisfied: python-dateutil in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (2.8.2)\n",
|
34 |
+
"Requirement already satisfied: packaging>=14.1 in /home/tejas/.local/lib/python3.8/site-packages (from streamlit) (21.0)\n",
|
35 |
+
"Requirement already satisfied: protobuf<4,>=3.12 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (3.20.3)\n",
|
36 |
+
"Requirement already satisfied: pandas>=0.25 in /home/tejas/.local/lib/python3.8/site-packages (from streamlit) (1.3.3)\n",
|
37 |
+
"Requirement already satisfied: typing-extensions>=3.10.0.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from streamlit) (4.4.0)\n",
|
38 |
+
"Requirement already satisfied: entrypoints in /home/tejas/anaconda3/lib/python3.8/site-packages (from altair>=3.2.0->streamlit) (0.4)\n",
|
39 |
+
"Requirement already satisfied: jinja2 in /home/tejas/.local/lib/python3.8/site-packages (from altair>=3.2.0->streamlit) (3.0.1)\n",
|
40 |
+
"Requirement already satisfied: toolz in /home/tejas/anaconda3/lib/python3.8/site-packages (from altair>=3.2.0->streamlit) (0.12.0)\n",
|
41 |
+
"Requirement already satisfied: jsonschema>=3.0 in /home/tejas/.local/lib/python3.8/site-packages (from altair>=3.2.0->streamlit) (3.2.0)\n",
|
42 |
+
"Requirement already satisfied: gitdb<5,>=4.0.1 in /home/tejas/anaconda3/lib/python3.8/site-packages (from gitpython!=3.1.19->streamlit) (4.0.10)\n",
|
43 |
+
"Requirement already satisfied: zipp>=0.5 in /home/tejas/anaconda3/lib/python3.8/site-packages (from importlib-metadata>=1.4->streamlit) (3.11.0)\n",
|
44 |
+
"Requirement already satisfied: pyparsing>=2.0.2 in /home/tejas/.local/lib/python3.8/site-packages (from packaging>=14.1->streamlit) (2.4.7)\n",
|
45 |
+
"Requirement already satisfied: pytz>=2017.3 in /home/tejas/anaconda3/lib/python3.8/site-packages (from pandas>=0.25->streamlit) (2022.7)\n",
|
46 |
+
"Requirement already satisfied: six>=1.5 in /home/tejas/anaconda3/lib/python3.8/site-packages (from python-dateutil->streamlit) (1.16.0)\n",
|
47 |
+
"Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/tejas/anaconda3/lib/python3.8/site-packages (from requests>=2.4->streamlit) (1.26.14)\n",
|
48 |
+
"Requirement already satisfied: idna<4,>=2.5 in /home/tejas/anaconda3/lib/python3.8/site-packages (from requests>=2.4->streamlit) (3.4)\n",
|
49 |
+
"Requirement already satisfied: certifi>=2017.4.17 in /home/tejas/anaconda3/lib/python3.8/site-packages (from requests>=2.4->streamlit) (2022.12.7)\n",
|
50 |
+
"Requirement already satisfied: charset-normalizer<3,>=2 in /home/tejas/anaconda3/lib/python3.8/site-packages (from requests>=2.4->streamlit) (2.0.4)\n",
|
51 |
+
"Requirement already satisfied: pygments<3.0.0,>=2.14.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from rich>=10.11.0->streamlit) (2.14.0)\n",
|
52 |
+
"Requirement already satisfied: markdown-it-py<3.0.0,>=2.1.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from rich>=10.11.0->streamlit) (2.1.0)\n",
|
53 |
+
"Requirement already satisfied: backports.zoneinfo in /home/tejas/anaconda3/lib/python3.8/site-packages (from tzlocal>=1.1->streamlit) (0.2.1)\n",
|
54 |
+
"Requirement already satisfied: pytz-deprecation-shim in /home/tejas/anaconda3/lib/python3.8/site-packages (from tzlocal>=1.1->streamlit) (0.1.0.post0)\n",
|
55 |
+
"Requirement already satisfied: decorator>=3.4.0 in /home/tejas/anaconda3/lib/python3.8/site-packages (from validators>=0.2->streamlit) (5.1.1)\n",
|
56 |
+
"Requirement already satisfied: smmap<6,>=3.0.1 in /home/tejas/anaconda3/lib/python3.8/site-packages (from gitdb<5,>=4.0.1->gitpython!=3.1.19->streamlit) (5.0.0)\n",
|
57 |
+
"Requirement already satisfied: MarkupSafe>=2.0 in /home/tejas/.local/lib/python3.8/site-packages (from jinja2->altair>=3.2.0->streamlit) (2.0.1)\n",
|
58 |
+
"Requirement already satisfied: pyrsistent>=0.14.0 in /home/tejas/.local/lib/python3.8/site-packages (from jsonschema>=3.0->altair>=3.2.0->streamlit) (0.18.0)\n",
|
59 |
+
"Requirement already satisfied: attrs>=17.4.0 in /home/tejas/.local/lib/python3.8/site-packages (from jsonschema>=3.0->altair>=3.2.0->streamlit) (21.2.0)\n",
|
60 |
+
"Requirement already satisfied: setuptools in /home/tejas/anaconda3/lib/python3.8/site-packages (from jsonschema>=3.0->altair>=3.2.0->streamlit) (65.6.3)\n",
|
61 |
+
"Requirement already satisfied: mdurl~=0.1 in /home/tejas/anaconda3/lib/python3.8/site-packages (from markdown-it-py<3.0.0,>=2.1.0->rich>=10.11.0->streamlit) (0.1.2)\n",
|
62 |
+
"Requirement already satisfied: tzdata in /home/tejas/anaconda3/lib/python3.8/site-packages (from pytz-deprecation-shim->tzlocal>=1.1->streamlit) (2022.7)\n",
|
63 |
+
"Note: you may need to restart the kernel to use updated packages.\n"
|
64 |
+
]
|
65 |
+
}
|
66 |
+
],
|
67 |
+
"source": [
|
68 |
+
"pip install streamlit"
|
69 |
+
]
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"cell_type": "code",
|
73 |
+
"execution_count": 2,
|
74 |
+
"id": "c5afcd6c",
|
75 |
+
"metadata": {},
|
76 |
+
"outputs": [],
|
77 |
+
"source": [
|
78 |
+
"import streamlit as st"
|
79 |
+
]
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"cell_type": "code",
|
83 |
+
"execution_count": null,
|
84 |
+
"id": "132dd791",
|
85 |
+
"metadata": {},
|
86 |
+
"outputs": [
|
87 |
+
{
|
88 |
+
"name": "stdout",
|
89 |
+
"output_type": "stream",
|
90 |
+
"text": [
|
91 |
+
"\u001b[0m\n",
|
92 |
+
"\u001b[34m\u001b[1m You can now view your Streamlit app in your browser.\u001b[0m\n",
|
93 |
+
"\u001b[0m\n",
|
94 |
+
"\u001b[34m Local URL: \u001b[0m\u001b[1mhttp://localhost:8501\u001b[0m\n",
|
95 |
+
"\u001b[34m Network URL: \u001b[0m\u001b[1mhttp://192.168.1.13:8501\u001b[0m\n",
|
96 |
+
"\u001b[0m\n",
|
97 |
+
"2023-03-06 11:46:49.726 Uncaught app exception\n",
|
98 |
+
"Traceback (most recent call last):\n",
|
99 |
+
" File \"/home/tejas/anaconda3/lib/python3.8/site-packages/streamlit/runtime/scriptrunner/script_runner.py\", line 565, in _run_script\n",
|
100 |
+
" exec(code, module.__dict__)\n",
|
101 |
+
" File \"/home/tejas/Asia_cup/app.py\", line 37, in <module>\n",
|
102 |
+
" df=pd.read_csv('https://www.kaggle.com/datasets/hasibalmuzdadid/asia-cup-cricket-1984-to-2022#:~:text=Annually-,asiacup.csv,-(26.48%20kB)')\n",
|
103 |
+
" File \"/home/tejas/.local/lib/python3.8/site-packages/pandas/util/_decorators.py\", line 311, in wrapper\n",
|
104 |
+
" return func(*args, **kwargs)\n",
|
105 |
+
" File \"/home/tejas/.local/lib/python3.8/site-packages/pandas/io/parsers/readers.py\", line 586, in read_csv\n",
|
106 |
+
" return _read(filepath_or_buffer, kwds)\n",
|
107 |
+
" File \"/home/tejas/.local/lib/python3.8/site-packages/pandas/io/parsers/readers.py\", line 488, in _read\n",
|
108 |
+
" return parser.read(nrows)\n",
|
109 |
+
" File \"/home/tejas/.local/lib/python3.8/site-packages/pandas/io/parsers/readers.py\", line 1047, in read\n",
|
110 |
+
" index, columns, col_dict = self._engine.read(nrows)\n",
|
111 |
+
" File \"/home/tejas/.local/lib/python3.8/site-packages/pandas/io/parsers/c_parser_wrapper.py\", line 223, in read\n",
|
112 |
+
" chunks = self._reader.read_low_memory(nrows)\n",
|
113 |
+
" File \"pandas/_libs/parsers.pyx\", line 801, in pandas._libs.parsers.TextReader.read_low_memory\n",
|
114 |
+
" File \"pandas/_libs/parsers.pyx\", line 857, in pandas._libs.parsers.TextReader._read_rows\n",
|
115 |
+
" File \"pandas/_libs/parsers.pyx\", line 843, in pandas._libs.parsers.TextReader._tokenize_rows\n",
|
116 |
+
" File \"pandas/_libs/parsers.pyx\", line 1925, in pandas._libs.parsers.raise_parser_error\n",
|
117 |
+
"pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 9, saw 2\n",
|
118 |
+
"\n",
|
119 |
+
"2023-03-06 11:49:01.806 Uncaught app exception\n",
|
120 |
+
"Traceback (most recent call last):\n",
|
121 |
+
" File \"/home/tejas/anaconda3/lib/python3.8/site-packages/streamlit/runtime/scriptrunner/script_runner.py\", line 565, in _run_script\n",
|
122 |
+
" exec(code, module.__dict__)\n",
|
123 |
+
" File \"/home/tejas/Asia_cup/app.py\", line 18, in <module>\n",
|
124 |
+
" lottie_coding=load_lottieurl(\"/home/tejas/Asia_cup/asiacup.csv\")\n",
|
125 |
+
" File \"/home/tejas/Asia_cup/app.py\", line 11, in load_lottieurl\n",
|
126 |
+
" r=requests.get(url)\n",
|
127 |
+
" File \"/home/tejas/anaconda3/lib/python3.8/site-packages/requests/api.py\", line 73, in get\n",
|
128 |
+
" return request(\"get\", url, params=params, **kwargs)\n",
|
129 |
+
" File \"/home/tejas/anaconda3/lib/python3.8/site-packages/requests/api.py\", line 59, in request\n",
|
130 |
+
" return session.request(method=method, url=url, **kwargs)\n",
|
131 |
+
" File \"/home/tejas/anaconda3/lib/python3.8/site-packages/requests/sessions.py\", line 573, in request\n",
|
132 |
+
" prep = self.prepare_request(req)\n",
|
133 |
+
" File \"/home/tejas/anaconda3/lib/python3.8/site-packages/requests/sessions.py\", line 484, in prepare_request\n",
|
134 |
+
" p.prepare(\n",
|
135 |
+
" File \"/home/tejas/anaconda3/lib/python3.8/site-packages/requests/models.py\", line 368, in prepare\n",
|
136 |
+
" self.prepare_url(url, params)\n",
|
137 |
+
" File \"/home/tejas/anaconda3/lib/python3.8/site-packages/requests/models.py\", line 439, in prepare_url\n",
|
138 |
+
" raise MissingSchema(\n",
|
139 |
+
"requests.exceptions.MissingSchema: Invalid URL '/home/tejas/Asia_cup/asiacup.csv': No scheme supplied. Perhaps you meant http:///home/tejas/Asia_cup/asiacup.csv?\n",
|
140 |
+
"/home/tejas/Asia_cup/app.py:117: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
|
141 |
+
" df20=df19.mean()\n",
|
142 |
+
"/home/tejas/Asia_cup/app.py:122: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
|
143 |
+
" df22=df21.mean()\n",
|
144 |
+
"/home/tejas/Asia_cup/app.py:126: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
|
145 |
+
" df24=df23.mean()\n",
|
146 |
+
"/home/tejas/Asia_cup/app.py:130: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
|
147 |
+
" df26=df25.mean()\n",
|
148 |
+
"/home/tejas/Asia_cup/app.py:133: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
|
149 |
+
" df28=df27.mean()\n",
|
150 |
+
"/home/tejas/Asia_cup/app.py:137: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n",
|
151 |
+
" df30=df29.mean()\n"
|
152 |
+
]
|
153 |
+
}
|
154 |
+
],
|
155 |
+
"source": [
|
156 |
+
"!streamlit run /home/tejas/Asia_cup/app.py"
|
157 |
+
]
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"cell_type": "code",
|
161 |
+
"execution_count": null,
|
162 |
+
"id": "b3a99bff",
|
163 |
+
"metadata": {},
|
164 |
+
"outputs": [],
|
165 |
+
"source": [
|
166 |
+
"pip install extra_streamlit_components"
|
167 |
+
]
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"cell_type": "code",
|
171 |
+
"execution_count": null,
|
172 |
+
"id": "1592b90d",
|
173 |
+
"metadata": {},
|
174 |
+
"outputs": [],
|
175 |
+
"source": [
|
176 |
+
"pip install streamlit_javascript"
|
177 |
+
]
|
178 |
+
}
|
179 |
+
],
|
180 |
+
"metadata": {
|
181 |
+
"kernelspec": {
|
182 |
+
"display_name": "Python 3 (ipykernel)",
|
183 |
+
"language": "python",
|
184 |
+
"name": "python3"
|
185 |
+
},
|
186 |
+
"language_info": {
|
187 |
+
"codemirror_mode": {
|
188 |
+
"name": "ipython",
|
189 |
+
"version": 3
|
190 |
+
},
|
191 |
+
"file_extension": ".py",
|
192 |
+
"mimetype": "text/x-python",
|
193 |
+
"name": "python",
|
194 |
+
"nbconvert_exporter": "python",
|
195 |
+
"pygments_lexer": "ipython3",
|
196 |
+
"version": "3.8.11"
|
197 |
+
}
|
198 |
+
},
|
199 |
+
"nbformat": 4,
|
200 |
+
"nbformat_minor": 5
|
201 |
+
}
|
Asia_cup/app.py
ADDED
@@ -0,0 +1,268 @@
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|
1 |
+
import requests
|
2 |
+
import streamlit as st
|
3 |
+
from streamlit_lottie import st_lottie
|
4 |
+
|
5 |
+
st.set_page_config(page_title='Asia cup Analysis',layout='wide')
|
6 |
+
# st.title("Asia Cup Data")
|
7 |
+
# st.text(" ")
|
8 |
+
# st.image("/home/tejas/Downloads/Asia_cup.jpg")
|
9 |
+
|
10 |
+
def load_lottieurl(url):
|
11 |
+
r=requests.get(url)
|
12 |
+
if r.status_code != 200:
|
13 |
+
return None
|
14 |
+
|
15 |
+
return r.json()
|
16 |
+
|
17 |
+
|
18 |
+
lottie_coding=load_lottieurl("https://assets6.lottiefiles.com/packages/lf20_1fXD2hXInk.json")
|
19 |
+
with st.container():
|
20 |
+
# right_column=st.columns(2)
|
21 |
+
# with right_column:
|
22 |
+
st_lottie(lottie_coding, height=300, key='coding')
|
23 |
+
|
24 |
+
# st.markdown("""---""")
|
25 |
+
|
26 |
+
# st.beta_columns
|
27 |
+
import streamlit as st
|
28 |
+
import pandas as pd
|
29 |
+
import numpy as np
|
30 |
+
import pickle #to load a saved modelimport base64 #to open .gif files in streamlit app
|
31 |
+
|
32 |
+
|
33 |
+
import pandas as pd
|
34 |
+
import numpy as np
|
35 |
+
from matplotlib import pyplot as plt
|
36 |
+
|
37 |
+
df=pd.read_csv('/home/tejas/Asia_cup/asiacup.csv')
|
38 |
+
col1=['Opponent','Format','Selection','Avg Bat Strike Rate','Highest Score','Wicket Taken','Given Extras','Highest Individual wicket','Run Rate','Extras']
|
39 |
+
df1=df.drop(col1,axis=1)
|
40 |
+
Df=df1.head(10)
|
41 |
+
|
42 |
+
# with st.sidebar:
|
43 |
+
# st.table(Df)
|
44 |
+
df2=df1.dropna()
|
45 |
+
df2.head(10)
|
46 |
+
# option = st.selectbox(
|
47 |
+
# 'How would you like to see?',
|
48 |
+
# (' Number of times Team won the toss.', 'Number of times Team won the result.', 'Number of matches done on different ground.',"Top 5 player of Match."," Number of times the Team get all out."))
|
49 |
+
st.markdown("# CHOOSE THE OPTION")
|
50 |
+
|
51 |
+
|
52 |
+
tab1, tab2, tab3, tab4, tab5 = st.tabs(["Number of times Team won the toss.", "Number of times Team won the result.", "Number of matches done on different ground.","Top 5 player of Match."," Number of times the Team get all out."])
|
53 |
+
|
54 |
+
with tab1:
|
55 |
+
st.markdown("Q1.} Number of times Team won the toss.")
|
56 |
+
df3=df2[df2['Toss']=='Win']
|
57 |
+
df3.head(10)
|
58 |
+
df4=df3['Team'].value_counts()
|
59 |
+
df4
|
60 |
+
chart = df4.plot.bar(y='Team', figsize=(10, 5),xlabel='Teams',ylabel='Toss_winning')
|
61 |
+
st.line_chart(df4)
|
62 |
+
|
63 |
+
with tab2:
|
64 |
+
st.markdown("Q2.}Number of times Team won the result.")
|
65 |
+
df5=df2[df2['Result']=='Win']
|
66 |
+
df5.head(10)
|
67 |
+
df6=df5['Team'].value_counts()
|
68 |
+
df6
|
69 |
+
st.bar_chart(df6)
|
70 |
+
|
71 |
+
with tab3:
|
72 |
+
st.markdown("Q3.}Number of matches done on different ground")
|
73 |
+
df7=df1['Ground'].value_counts()
|
74 |
+
df7
|
75 |
+
st.bar_chart(df7)
|
76 |
+
|
77 |
+
with tab4:
|
78 |
+
st.markdown("Q4.}Top 5 player of Match")
|
79 |
+
df8=df1['Player Of The Match'].value_counts()
|
80 |
+
df9=df8.head(5)
|
81 |
+
df9
|
82 |
+
st.bar_chart(df9)
|
83 |
+
|
84 |
+
with tab5:
|
85 |
+
st.markdown("Q5.} Number of times the Team get all out.")
|
86 |
+
df10=df1[df1['Wicket Lost']==10.0]
|
87 |
+
df11=df10['Team'].value_counts()
|
88 |
+
df11
|
89 |
+
st.line_chart(df11)
|
90 |
+
|
91 |
+
st.markdown("""---""")
|
92 |
+
|
93 |
+
# st.radio('Which is your favourite Team?',['India','Sri Lanka','Pakisthan','Bangladesh','Afghanistan','Hong Kong','UAE'])
|
94 |
+
# st.markdown("""---""")
|
95 |
+
st.markdown("# #Number of times a Team won and Loss the Match.")
|
96 |
+
|
97 |
+
df12=df[['Team','Result']]
|
98 |
+
# df12
|
99 |
+
df13=df12[['Team', 'Result']].value_counts().reset_index(name='count')
|
100 |
+
df14=df13.sort_values(by=['Result'])
|
101 |
+
# df14
|
102 |
+
df15=df14.drop([13,16,12,15,14])
|
103 |
+
# df15
|
104 |
+
st.bar_chart(df15,x='Team',y='count',height=500)
|
105 |
+
|
106 |
+
st.markdown("""---""")
|
107 |
+
|
108 |
+
st.markdown("# #Run scored by different Teams in different Year")
|
109 |
+
|
110 |
+
df16=df[['Team','Run Scored','Year']]
|
111 |
+
# df16
|
112 |
+
df17=df16.sort_values(by=['Team'])
|
113 |
+
# df17
|
114 |
+
df18=df17.drop([56,57])
|
115 |
+
df18
|
116 |
+
df19=df18[df18['Team']=='Afghanistan']
|
117 |
+
df20=df19.mean()
|
118 |
+
# df20
|
119 |
+
# st.markdown("""---""")
|
120 |
+
|
121 |
+
df21=df18[df18['Team']=='Bangladesh']
|
122 |
+
df22=df21.mean()
|
123 |
+
# df22
|
124 |
+
# st.markdown("""---""")
|
125 |
+
df23=df18[df18['Team']=='Hong Kong']
|
126 |
+
df24=df23.mean()
|
127 |
+
# df24
|
128 |
+
# st.markdown("""---""")
|
129 |
+
df25=df18[df18['Team']=='India']
|
130 |
+
df26=df25.mean()
|
131 |
+
# df26
|
132 |
+
df27=df18[df18['Team']=='Pakistan']
|
133 |
+
df28=df27.mean()
|
134 |
+
# df28
|
135 |
+
# st.markdown("""---""")
|
136 |
+
df29=df18[df18['Team']=='Sri Lanka']
|
137 |
+
df30=df29.mean()
|
138 |
+
# df30
|
139 |
+
# # st.line_chart(df19, y='Run Scored',x='Year')
|
140 |
+
# df20=df18[df18['Team']=='Sri Lanka']
|
141 |
+
# # st.line_chart(df19, y='Run Scored',x='Year')
|
142 |
+
# df21=df18[df18['Team']=='Pakisthan']
|
143 |
+
# # st.line_chart(df19, y='Run Scored',x='Year')
|
144 |
+
|
145 |
+
# # st.line_chart(df19, y='Run Scored',x='Year')
|
146 |
+
st.markdown("""---""")
|
147 |
+
st.markdown("# #Average run scored by the Team in Asia Cup")
|
148 |
+
|
149 |
+
data=[['Afghanistan',187.42],['Bangladesh',185.06],['Hong Kong',135.75],['India',213.68],['Pakistan',217.55],['Sri Lanka',212.55]]
|
150 |
+
df31 = pd.DataFrame(data, columns=['Team', 'Average_score'])
|
151 |
+
df31
|
152 |
+
# st.bar_chart(df31, y='Average_score',x='Team')
|
153 |
+
st.markdown("""---""")
|
154 |
+
|
155 |
+
import streamlit as st
|
156 |
+
import extra_streamlit_components as stx
|
157 |
+
st.markdown("# #Details of match of team India differentiated by runs.")
|
158 |
+
|
159 |
+
# chosen_id1= stx.tab_bar(Team=[
|
160 |
+
# stx.TabBarItemData(id="Tab1", title='India'),
|
161 |
+
# stx.TabBarItemData(id="Tab2", title="Sri Lanka"),
|
162 |
+
|
163 |
+
|
164 |
+
chosen_id= stx.tab_bar(data=[
|
165 |
+
stx.TabBarItemData(id="tab1", title="Below 100", description="Match Details of Team India getting less than 100 runs"),
|
166 |
+
# st.text(""),
|
167 |
+
stx.TabBarItemData(id="tab2", title="100-200", description="Match Details of Team India getting runs between 100 and 200"),
|
168 |
+
# st.text(""),
|
169 |
+
stx.TabBarItemData(id="tab3", title="200-300", description="Match Details of Team India getting runs between 200 and 300"),
|
170 |
+
# st.text(""),
|
171 |
+
stx.TabBarItemData(id="tab4", title="Above 300", description=" Match Details of Team India getting more than 300 runs")])
|
172 |
+
|
173 |
+
|
174 |
+
placeholder = st.container()
|
175 |
+
|
176 |
+
if chosen_id == "tab1":
|
177 |
+
placeholder.markdown(f"## Welcome to `{chosen_id}`")
|
178 |
+
placeholder.info(f"Since we are in {chosen_id}, So details of matches of team India when they scored below 100 is:")
|
179 |
+
df32=df[df['Team']=='India']
|
180 |
+
df33=df32[df32['Run Scored']<100.0000]
|
181 |
+
# with st.sidebar:
|
182 |
+
st.table(df33)
|
183 |
+
|
184 |
+
|
185 |
+
# placeholder.image("https://placekitten.com/g/400/200",caption=f"Meowhy from {chosen_id}")
|
186 |
+
# placeholder.slider("A slider",0,10,5,1)
|
187 |
+
# placeholder.checkbox("A checkbox",True)
|
188 |
+
# placeholder.button("A button")
|
189 |
+
|
190 |
+
elif chosen_id == "tab2":
|
191 |
+
placeholder.markdown(f"## Welcome to `{chosen_id}`")
|
192 |
+
placeholder.info(f"Since we are in {chosen_id} , So details of matches of team India when then scored between 100 and 200 is:")
|
193 |
+
df34=df[df['Team']=='India']
|
194 |
+
df35=df34[(df34['Run Scored']>100.0000)&(df34['Run Scored']<200.0000)]
|
195 |
+
# with st.sidebar:
|
196 |
+
st.table(df35)
|
197 |
+
|
198 |
+
elif chosen_id == "tab3":
|
199 |
+
placeholder.markdown(f"## Welcome to `{chosen_id}`")
|
200 |
+
placeholder.info(f"Since we are in {chosen_id}, So details of matches of team India when they scored between 200 and 300 is:")
|
201 |
+
df36=df[df['Team']=='India']
|
202 |
+
df37=df36[(df36['Run Scored']>200.0000)&(df36['Run Scored']<300.0000)]
|
203 |
+
# with st.sidebar:/
|
204 |
+
st.table(df37)
|
205 |
+
|
206 |
+
elif chosen_id == "tab4":
|
207 |
+
placeholder.markdown(f"## Welcome to `{chosen_id}`")
|
208 |
+
placeholder.info(f"Since we are in {chosen_id}, So details of matches of team India when they scored above 300 is:")
|
209 |
+
df38=df[df['Team']=='India']
|
210 |
+
df39=df38[df38['Run Scored']>300.0000]
|
211 |
+
# with st.sidebar:
|
212 |
+
st.table(df39)
|
213 |
+
|
214 |
+
# import streamlit as st
|
215 |
+
# from streamlit_javascript import st_javascript
|
216 |
+
|
217 |
+
# url = st_javascript("await fetch('').then(r => window.parent.location.href)")
|
218 |
+
|
219 |
+
# st.write(url)
|
220 |
+
# st.markdown("""
|
221 |
+
# ****
|
222 |
+
# ### Don't forget to `pip install extra_streamlit_components`
|
223 |
+
# # """)
|
224 |
+
# df23=[['df19','df20']]
|
225 |
+
# df23
|
226 |
+
# df23 = pd.DataFrame(columns=['df19','df20'])
|
227 |
+
# st.line_chart(df23)
|
228 |
+
|
229 |
+
# columns=['df19','df20']
|
230 |
+
# result = df16.loc[df16['India'] == 1, 'Run Scored'].sum()
|
231 |
+
# result
|
232 |
+
|
233 |
+
# st.selectbox('Which is your favourite Team',['India','Sri Lanka','Pakisthan','Bangladesh','Afghniastan','Hong Kong','UAE'])
|
234 |
+
# # st.write('You selected:', option)
|
235 |
+
# st.markdown("""---""")
|
236 |
+
# st.markdown("Q1.} Number of times Team won the toss.")
|
237 |
+
# df3=df2[df2['Toss']=='Win']
|
238 |
+
# df3.head(10)
|
239 |
+
# df4=df3['Team'].value_counts()
|
240 |
+
# df4
|
241 |
+
# chart = df4.plot.bar(y='Team', figsize=(10, 5),xlabel='Teams',ylabel='Toss_winning')
|
242 |
+
# st.line_chart(df4)
|
243 |
+
# st.markdown("""---""")
|
244 |
+
# st.markdown("Q2.}Number of times Team won the result.")
|
245 |
+
# df5=df2[df2['Result']=='Win']
|
246 |
+
# df5.head(10)
|
247 |
+
# df6=df5['Team'].value_counts()
|
248 |
+
# df6
|
249 |
+
# st.bar_chart(df6)
|
250 |
+
# st.markdown("""---""")
|
251 |
+
# st.markdown("Q3.}Number of matches done on different ground")
|
252 |
+
# df7=df1['Ground'].value_counts()
|
253 |
+
# df7
|
254 |
+
# st.bar_chart(df7)
|
255 |
+
# st.markdown("""---""")
|
256 |
+
# st.markdown("Q4.}Top 5 player of Match")
|
257 |
+
# df8=df1['Player Of The Match'].value_counts()
|
258 |
+
# # df8
|
259 |
+
# df9=df8.head(5)
|
260 |
+
# df9
|
261 |
+
# st.bar_chart(df9)
|
262 |
+
# st.markdown("""---""")
|
263 |
+
# st.markdown("Q5.} Number of times the Team get all out.")
|
264 |
+
# df10=df1[df1['Wicket Lost']==10.0]
|
265 |
+
# # df10
|
266 |
+
# df11=df10['Team'].value_counts()
|
267 |
+
# df11
|
268 |
+
# st.line_chart(df11)
|
Asia_cup/asiacup.csv
ADDED
@@ -0,0 +1,255 @@
|
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|
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|
|
|
1 |
+
Team,Opponent,Format,Ground,Year,Toss,Selection,Run Scored,Wicket Lost,Fours,Sixes,Extras,Run Rate,Avg Bat Strike Rate,Highest Score,Wicket Taken,Given Extras,Highest Individual wicket,Player Of The Match,Result
|
2 |
+
Pakistan,Sri Lanka,ODI,Sharjah,1984,Lose,Batting,187,9,9,3,21,4.06,52.04,47,5,26,2,Roy Dias,Lose
|
3 |
+
Sri Lanka,Pakistan,ODI,Sharjah,1984,Win,Bowling,190,5,11,1,26,4.36,68.51,57,9,21,3,Roy Dias,Win
|
4 |
+
India,Sri Lanka,ODI,Sharjah,1984,Win,Bowling,97,0,9,0,14,4.47,60.48,51,10,8,3,Surinder Khanna,Win
|
5 |
+
Sri Lanka,India,ODI,Sharjah,1984,Lose,Batting,96,10,7,0,8,2.34,25.74,38,0,14,0,Surinder Khanna,Lose
|
6 |
+
India,Pakistan,ODI,Sharjah,1984,Win,Batting,188,4,13,3,17,4.08,60.21,56,10,5,3,Surinder Khanna,Win
|
7 |
+
Pakistan,India,ODI,Sharjah,1984,Lose,Bowling,134,10,5,0,5,3.37,39.46,35,4,17,1,Surinder Khanna,Lose
|
8 |
+
Sri Lanka,Pakistan,ODI,Colombo(PSS),1986,Win,Bowling,116,10,10,0,14,3.42,37.87,34,10,15,3,Mohsin Khan,Lose
|
9 |
+
Pakistan,Sri Lanka,ODI,Colombo(PSS),1986,Lose,Batting,197,10,14,3,15,4.37,65.14,39,10,14,3,Mohsin Khan,Win
|
10 |
+
Bangladesh,Pakistan,ODI,Moratuwa,1986,Lose,Batting,94,10,0,0,9,2.64,24.63,37,3,5,2,Wasim Akram,Lose
|
11 |
+
Pakistan,Bangladesh,ODI,Moratuwa,1986,Win,Bowling,98,3,4,0,5,3.04,36.79,47,10,9,4,Wasim Akram,Win
|
12 |
+
Sri Lanka,Bangladesh,ODI,Kandy,1986,win,Bowling,132,3,0,0,19,4.19,46.07,44,8,10,2,Asanka Gurusinha,win
|
13 |
+
Bangladesh,Sri Lanka,ODI,Kandy,1986,Lose,Batting,131,8,0,0,10,2.91,47.03,40,3,19,1,Asanka Gurusinha,Lose
|
14 |
+
Sri Lanka,Pakistan,ODI,Colombo(SSC),1986,Win,Bowling,195,5,15,1,9,4.6,62.09,57,9,14,4,Javed Miandad,Win
|
15 |
+
Pakistan,Sri Lanka,ODI,Colombo(SSC),1986,Lose,Batting,191,9,11,4,14,4.24,70.13,67,5,9,3,Javed Miandad,Lose
|
16 |
+
Pakistan,Sri Lanka,ODI,Dhaka,1988,Lose,Batting,194,7,5,0,7,4.4,74.43,54,5,18,2,Roshan Mahanama,Lose
|
17 |
+
Sri Lanka,Pakistan,ODI,Dhaka,1988,Win,Bowling,195,5,10,0,18,5.02,73.08,55,7,7,3,Roshan Mahanama,Win
|
18 |
+
Bangladesh,India,ODI,Chattogram,1988,Lose,Batting,99,8,5,0,13,2.2,36.13,22,1,7,1,Navjot Sidhu,Lose
|
19 |
+
India,Bangladesh,ODI,Chattogram,1988,Win,Bowling,100,1,7,1,7,3.84,56.7,50,8,13,3,Navjot Sidhu,Win
|
20 |
+
India,Sri Lanka,ODI,Dhaka,1988,Win,Bowling,254,10,14,4,5,5.77,97.52,50,6,13,2,Aravinda de Silva,Lose
|
21 |
+
Sri Lanka,India,ODI,Dhaka,1988,Lose,Batting,271,6,12,2,13,6.02,106.61,69,10,5,4,Aravinda de Silva,Win
|
22 |
+
Bangladesh,Pakistan,ODI,Chattogram,1988,Lose,Bowling,111,6,0,0,15,2.46,31.02,22,3,23,1,Moin ul Atiq,Lose
|
23 |
+
Pakistan,Bangladesh,ODI,Chattogram,1988,Win,Batting,284,3,9,4,23,6.31,76.52,124,6,15,3,Moin ul Atiq,Win
|
24 |
+
India,Pakistan,ODI,Dhaka,1988,Win,Bowling,143,6,8,0,19,3.51,38.29,74,10,17,5,Arshad Ayub,Win
|
25 |
+
Pakistan,India,ODI,Dhaka,1988,Lose,Batting,142,10,7,0,17,3.35,47.42,38,6,19,3,Arshad Ayub,Lose
|
26 |
+
Bangladesh,Sri Lanka,ODI,Dhaka,1988,Lose,Batting,118,8,0,0,12,2.62,30.28,30,1,7,1,Brendon Kuruppu,Lose
|
27 |
+
Sri Lanka,Bangladesh,ODI,Dhaka,1988,Win,Bowling,120,1,0,0,7,3.89,59.78,58,8,12,4,Brendon Kuruppu,Win
|
28 |
+
India,Sri Lanka,ODI,Dhaka,1988,Win,Bowling,180,4,10,3,12,4.84,62.06,76,10,18,3,Navjot Sidhu,Win
|
29 |
+
Sri Lanka,India,ODI,Dhaka,1988,Lose,Batting,176,10,8,1,18,4.06,54.48,36,4,12,2,Navjot Sidhu,Lose
|
30 |
+
India,Bangladesh,ODI,Chandigarh,1990,Lose,Bowling,171,1,12,3,12,4.64,63.78,104,6,29,2,Navjot Sidhu,Win
|
31 |
+
Bangladesh,India,ODI,Chandigarh,1990,Win,Batting,170,6,11,0,29,3.4,46.26,57,1,12,1,Navjot Sidhu,Lose
|
32 |
+
India,Sri Lanka,ODI,Cuttack,1990,Lose,Bowling,178,10,9,0,13,3.88,51.31,40,10,32,3,Arjuna Ranatunga,Lose
|
33 |
+
Sri Lanka,India,ODI,Cuttack,1990,Win,Batting,214,10,2,1,32,4.33,46.93,53,10,13,3,Arjuna Ranatunga,Win
|
34 |
+
Bangladesh,Sri Lanka,ODI,Kolkata,1990,Lose,Bowling,178,9,0,0,20,3.95,43.2,78,4,15,1,Athar Ali Khan,Lose
|
35 |
+
Sri Lanka,Bangladesh,ODI,Kolkata,1990,Win,Batting,249,4,0,0,15,5.53,81.82,89,9,20,2,Athar Ali Khan,Win
|
36 |
+
India,Sri Lanka,ODI,Kolkata,1991,Win,Bowling,205,3,7,1,2,4.86,73.75,75,9,21,4,Mohammad Azharuddin,Win
|
37 |
+
Sri Lanka,India,ODI,Kolkata,1991,Lose,Batting,204,9,3,0,21,4.53,55.73,49,3,2,1,Mohammad Azharuddin,Lose
|
38 |
+
Bangladesh,India,ODI,Sharjah,1995,Win,Batting,163,10,12,1,11,3.64,66.87,30,1,7,1,Manoj Prabhakar,Lose
|
39 |
+
India,Bangladesh,ODI,Sharjah,1995,Lose,Bowling,164,1,21,1,7,5.89,110.24,56,10,11,2,Manoj Prabhakar,Win
|
40 |
+
Bangladesh,Sri Lanka,ODI,Sharjah,1995,Win,Bowling,126,10,8,0,12,2.84,36.15,26,10,10,4,Arjuna Ranatunga,Lose
|
41 |
+
Sri Lanka,Bangladesh,ODI,Sharjah,1995,Lose,Batting,233,10,15,1,10,4.69,70.57,71,10,12,4,Arjuna Ranatunga,Win
|
42 |
+
India,Pakistan,ODI,Sharjah,1995,Lose,Bowling,169,10,11,2,26,3.96,28.93,54,9,16,2,Aaqib Javed,Lose
|
43 |
+
Pakistan,India,ODI,Sharjah,1995,Win,Batting,266,9,21,5,16,5.32,92.95,88,10,26,5,Aaqib Javed,Win
|
44 |
+
Bangladesh,Pakistan,ODI,Sharjah,1995,Win,Batting,151,8,7,0,14,3.02,29.93,44,4,7,1,Wasim Akram,Lose
|
45 |
+
Pakistan,Bangladesh,ODI,Sharjah,1995,Lose,Bowling,152,4,15,2,7,5.12,79.03,38,8,14,2,Wasim Akram,Win
|
46 |
+
India,Sri Lanka,ODI,Sharjah,1995,Lose,Bowling,206,2,24,1,17,6.21,85.03,112,9,29,3,Sachin Tendulkar,Win
|
47 |
+
Sri Lanka,India,ODI,Sharjah,1995,Win,Batting,202,9,15,2,29,4.04,49.64,48,2,17,2,Sachin Tendulkar,Lose
|
48 |
+
Pakistan,Sri Lanka,ODI,Sharjah,1995,Lose,Batting,178,9,5,3,22,3.56,40.74,73,5,17,2,Sanath Jayasuriya,Lose
|
49 |
+
Sri Lanka,Pakistan,ODI,Sharjah,1995,Win,Bowling,180,5,16,2,17,5.83,101.55,48,9,22,3,Sanath Jayasuriya,Win
|
50 |
+
India,Sri Lanka,ODI,Sharjah,1995,Win,Bowling,233,2,15,2,9,5.56,83.33,90,7,37,2,Mohammad Azharuddin,Win
|
51 |
+
Sri Lanka,India,ODI,Sharjah,1995,Lose,Batting,230,7,12,3,37,4.6,72.28,85,2,9,1,Mohammad Azharuddin,Lose
|
52 |
+
Sri Lanka,Pakistan,ODI,Colombo(RPS),1997,Lose,Batting,239,10,9,1,12,4.79,63.56,80,9,15,4,Marvan Atapattu,Win
|
53 |
+
Pakistan,Sri Lanka,ODI,Colombo(RPS),1997,Win,Bowling,224,9,11,3,15,4.48,68.02,57,10,12,2,Marvan Atapattu,Lose
|
54 |
+
Bangladesh,Pakistan,ODI,Colombo(RPS),1997,Lose,Bowling,210,10,15,1,18,4.24,54.03,82,5,13,1,Saeed Anwar,Lose
|
55 |
+
Pakistan,Bangladesh,ODI,Colombo(RPS),1997,Win,Batting,319,5,28,3,13,6.38,129.1,90,10,18,5,Saeed Anwar,Win
|
56 |
+
Sri Lanka,India,ODI,Colombo(RPS),1997,Win,Bowling,231,4,23,0,21,5.17,66.43,131,6,4,2,Arjuna Ranatunga,Win
|
57 |
+
India,Sri Lanka,ODI,Colombo(RPS),1997,Lose,Batting,227,6,19,2,4,4.54,86.79,81,4,21,2,Arjuna Ranatunga,Lose
|
58 |
+
India,Pakistan,ODI,Colombo(SSC),1997,Win,Bowling,,,,,,,,,,,,,No Result
|
59 |
+
Pakistan,India,ODI,Colombo(SSC),1997,Lose,Batting,,,,,,,,,,,,,No Result
|
60 |
+
Sri Lanka,Bangladesh,ODI,Colombo(SSC),1997,Lose,Batting,296,4,31,4,13,6.43,104.29,108,8,23,2,Sanath Jayasuriya,Win
|
61 |
+
Bangladesh,Sri Lanka,ODI,Colombo(SSC),1997,Win,Bowling,193,8,15,1,23,4.19,56.86,47,4,13,2,Sanath Jayasuriya,Lose
|
62 |
+
Bangladesh,India,ODI,Colombo(SSC),1997,Lose,Batting,130,8,10,0,19,3.02,31.66,33,1,8,1,Sourav Ganguly,Lose
|
63 |
+
India,Bangladesh,ODI,Colombo(SSC),1997,Win,Bowling,132,1,16,2,8,8.8,129.57,73,8,19,3,Sourav Ganguly,Win
|
64 |
+
Sri Lanka,India,ODI,Colombo(RPS),1997,Lose,Bowling,240,2,19,6,25,6.51,99.56,84,7,15,2,Marvan Atapattu,Win
|
65 |
+
India,Sri Lanka,ODI,Colombo(RPS),1997,Win,Batting,239,7,11,2,15,4.78,91.52,81,2,25,1,Marvan Atapattu,Lose
|
66 |
+
Bangladesh,Sri Lanka,ODI,Dhaka,2000,Lose,Batting,175,6,8,1,12,3.5,46.74,85,1,13,1,Aravinda de Silva,Lose
|
67 |
+
Sri Lanka,Bangladesh,ODI,Dhaka,2000,Win,Bowling,178,1,20,4,13,5.8,82.31,96,6,12,2,Aravinda de Silva,Win
|
68 |
+
Bangladesh,India,ODI,Dhaka,2000,Win,Batting,249,6,17,4,17,4.98,90.75,64,2,11,1,Sourav Ganguly,Lose
|
69 |
+
India,Bangladesh,ODI,Dhaka,2000,Lose,Bowling,252,2,17,9,11,6.27,100.72,135,6,17,3,Sourav Ganguly,Win
|
70 |
+
India,Sri Lanka,ODI,Dhaka,2000,Lose,Bowling,205,10,18,2,17,4.55,52.18,93,8,23,2,Sanath Jayasuriya,Lose
|
71 |
+
Sri Lanka,India,ODI,Dhaka,2000,Win,Batting,276,8,21,2,23,5.52,84.47,105,10,17,3,Sanath Jayasuriya,Win
|
72 |
+
Bangladesh,Pakistan,ODI,Dhaka,2000,Lose,Bowling,87,10,7,0,22,2.53,28.78,23,3,9,1,Imran Nazir,Lose
|
73 |
+
Pakistan,Bangladesh,ODI,Dhaka,2000,Win,Batting,320,3,33,6,9,6.4,111.43,80,10,22,3,Imran Nazir,Win
|
74 |
+
India,Pakistan,ODI,Dhaka,2000,Lose,Bowling,251,10,19,4,38,5.26,54.83,93,7,16,3,Mohammad Yousuf,Lose
|
75 |
+
Pakistan,India,ODI,Dhaka,2000,Win,Batting,295,7,29,3,16,5.9,100.53,100,10,38,4,Mohammad Yousuf,Win
|
76 |
+
Pakistan,Sri Lanka,ODI,Dhaka,2000,Lose,Bowling,193,3,14,3,15,3.99,64.61,90,10,12,3,Mohammad Yousuf,Win
|
77 |
+
Sri Lanka,Pakistan,ODI,Dhaka,2000,Win,Batting,192,10,10,2,12,3.91,46.81,62,3,15,2,Mohammad Yousuf,Lose
|
78 |
+
Pakistan,Sri Lanka,ODI,Dhaka,2000,Win,Batting,277,4,16,6,17,5.54,85.63,82,10,15,2,Moin Khan,Win
|
79 |
+
Sri Lanka,Pakistan,ODI,Dhaka,2000,Lose,Bowling,238,10,20,3,15,5.25,61.8,100,4,17,2,Moin Khan,Lose
|
80 |
+
Bangladesh,Hong Kong,ODI,Colombo(SSC),2004,Lose,Batting,221,9,15,0,20,4.42,74.38,68,10,13,3,Javed Omar,Win
|
81 |
+
Hong Kong,Bangladesh,ODI,Colombo(SSC),2004,Win,Bowling,105,10,6,0,13,2.31,31.01,20,9,20,3,Javed Omar,Lose
|
82 |
+
India,UAE,ODI,Dambulla,2004,Win,Batting,260,6,17,1,14,5.2,74.59,104,10,34,3,Rahul Dravid,Win
|
83 |
+
UAE,India,ODI,Dambulla,2004,Lose,Bowling,144,10,14,0,34,4.11,34.93,55,6,14,2,Rahul Dravid,Lose
|
84 |
+
Bangladesh,Pakistan,ODI,Colombo(SSC),2004,Lose,Bowling,181,10,13,1,20,3.99,45.64,62,6,11,2,Yasir Hameed,Lose
|
85 |
+
Pakistan,Bangladesh,ODI,Colombo(SSC),2004,Win,Batting,257,6,19,2,11,5.14,83.96,102,10,20,3,Yasir Hameed,Win
|
86 |
+
Sri Lanka,UAE,ODI,Dambulla,2004,Win,Batting,239,10,20,1,24,4.78,65.42,73,10,24,4,Khurram Khan,Win
|
87 |
+
UAE,Sri Lanka,ODI,Dambulla,2004,Lose,Bowling,123,10,8,0,24,2.57,28.99,39,10,24,4,Khurram Khan,Lose
|
88 |
+
Hong Kong,Pakistan,ODI,Colombo(SSC),2004,Lose,Bowling,165,10,17,1,29,3.73,38.65,36,5,13,2,Shoaib Malik,Lose
|
89 |
+
Pakistan,Hong Kong,ODI,Colombo(SSC),2004,Win,Batting,343,5,24,6,13,6.86,136.56,144,10,29,4,Shoaib Malik,Win
|
90 |
+
Sri Lanka,India,ODI,Dambulla,2004,Win,Batting,282,4,19,3,27,5.64,87.88,58,8,34,3,Nuwan Zoysa,Win
|
91 |
+
India,Sri Lanka,ODI,Dambulla,2004,Lose,Bowling,270,8,23,2,34,5.4,73.76,82,4,27,1,Nuwan Zoysa,Lose
|
92 |
+
Bangladesh,India,ODI,Colombo(SSC),2004,Lose,Batting,177,10,9,2,37,3.6,34.2,35,2,19,1,Sachin Tendulkar,Lose
|
93 |
+
India,Bangladesh,ODI,Colombo(SSC),2004,Win,Bowling,178,2,16,4,19,4.62,89.6,82,10,37,3,Sachin Tendulkar,Win
|
94 |
+
Sri Lanka,Pakistan,ODI,Colombo(RPS),2004,Lose,Bowling,123,3,10,0,25,3.84,56.99,26,10,16,3,Nuwan Zoysa,Win
|
95 |
+
Pakistan,Sri Lanka,ODI,Colombo(RPS),2004,Win,Batting,122,10,7,1,16,3.06,33.51,43,3,25,2,Nuwan Zoysa,Lose
|
96 |
+
Sri Lanka,Bangladesh,ODI,Colombo(RPS),2004,Lose,Bowling,191,0,15,0,20,5.7,84.97,107,9,20,3,Sanath Jayasuriya,Win
|
97 |
+
Bangladesh,Sri Lanka,ODI,Colombo(RPS),2004,Win,Batting,190,9,12,1,20,3.8,79.55,66,0,20,0,Sanath Jayasuriya,Lose
|
98 |
+
India,Pakistan,ODI,Colombo(RPS),2004,Lose,Bowling,241,8,18,1,38,4.82,59.68,78,9,21,3,Shoaib Malik,Lose
|
99 |
+
Pakistan,India,ODI,Colombo(RPS),2004,Win,Batting,300,9,29,2,21,6,68.11,143,8,38,2,Shoaib Malik,Win
|
100 |
+
Sri Lanka,India,ODI,Colombo(RPS),2004,Lose,Bowling,267,9,20,3,26,5.34,72.7,130,6,20,2,Virender Sehwag,Lose
|
101 |
+
India,Sri Lanka,ODI,Colombo(RPS),2004,Win,Batting,271,6,23,2,20,5.42,84.49,79,9,26,3,Virender Sehwag,Win
|
102 |
+
Bangladesh,Pakistan,ODI,Colombo(RPS),2004,Win,Batting,166,10,12,0,37,3.66,34.08,54,4,10,1,Shoaib Malik,Lose
|
103 |
+
Pakistan,Bangladesh,ODI,Colombo(RPS),2004,Lose,Bowling,167,4,22,0,10,4.07,62.75,48,10,37,3,Shoaib Malik,Win
|
104 |
+
Sri Lanka,India,ODI,Colombo(RPS),2004,Win,Batting,228,9,18,0,32,4.56,60.69,65,9,25,3,Marvan Atapattu,Win
|
105 |
+
India,Sri Lanka,ODI,Colombo(RPS),2004,Lose,Bowling,203,9,13,3,25,4.06,58.39,74,9,32,2,Marvan Atapattu,Lose
|
106 |
+
Bangladesh,UAE,ODI,Lahore,2008,Win,Batting,300,8,22,1,18,6,95.6,109,10,10,3,Mohammad Ashraful,Win
|
107 |
+
UAE,Bangladesh,ODI,Lahore,2008,Lose,Bowling,204,10,22,1,10,4.46,57.53,78,8,18,3,Mohammad Ashraful,Lose
|
108 |
+
Pakistan,Hong Kong,ODI,Karachi,2008,Win,Batting,288,9,30,1,12,5.76,79.88,67,10,16,2,Sohail Tanvir,Win
|
109 |
+
Hong Kong,Pakistan,ODI,Karachi,2008,Lose,Bowling,133,10,13,0,16,3.56,40.08,26,9,12,4,Sohail Tanvir,Lose
|
110 |
+
Bangladesh,Sri Lanka,ODI,Lahore,2008,Win,Bowling,226,7,13,2,20,4.52,60.82,44,9,22,3,Kumar Sangakkara,Lose
|
111 |
+
Sri Lanka,Bangladesh,ODI,Lahore,2008,Lose,Batting,357,9,36,5,22,7.14,97.7,101,7,20,2,Kumar Sangakkara,Win
|
112 |
+
Hong Kong,India,ODI,Karachi,2008,Lose,Bowling,118,10,17,0,9,3.2,40.44,25,4,9,2,Suresh Raina,Lose
|
113 |
+
India,Hong Kong,ODI,Karachi,2008,Win,Batting,374,4,33,14,9,7.48,123.06,109,10,9,4,Suresh Raina,Win
|
114 |
+
Pakistan,India,ODI,Karachi,2008,Win,Batting,299,4,33,1,7,5.98,123.3,125,4,15,2,Suresh Raina,Lose
|
115 |
+
India,Pakistan,ODI,Karachi,2008,Lose,Bowling,301,4,25,12,15,7.13,85.13,119,4,7,1,Suresh Raina,Win
|
116 |
+
Sri Lanka,UAE,ODI,Lahore,2008,Win,Batting,290,9,22,0,19,5.8,80.53,67,10,9,5,Ajantha Mendis,Win
|
117 |
+
UAE,Sri Lanka,ODI,Lahore,2008,Lose,Bowling,148,10,16,0,9,4.05,42.01,77,9,19,3,Ajantha Mendis,Lose
|
118 |
+
Bangladesh,India,ODI,Karachi,2008,Win,Batting,283,6,27,6,14,5.66,71.07,115,3,18,2,Suresh Raina,Lose
|
119 |
+
India,Bangladesh,ODI,Karachi,2008,Lose,Bowling,284,3,25,6,18,6.55,86.45,116,6,14,2,Suresh Raina,Win
|
120 |
+
Pakistan,Sri Lanka,ODI,Karachi,2008,Win,Bowling,238,9,17,4,3,4.76,62.63,76,7,23,5,Kumar Sangakkara,Lose
|
121 |
+
Sri Lanka,Pakistan,ODI,Karachi,2008,Lose,Batting,302,7,26,4,23,6.04,93.22,112,9,3,4,Kumar Sangakkara,Win
|
122 |
+
Bangladesh,Sri Lanka,ODI,Karachi,2008,Lose,Bowling,174,10,20,1,14,4.51,55.06,52,8,10,2,Sanath Jayasuriya,Lose
|
123 |
+
Sri Lanka,Bangladesh,ODI,Karachi,2008,Win,Batting,332,8,36,8,10,6.64,96.79,130,10,14,5,Sanath Jayasuriya,Win
|
124 |
+
Pakistan,India,ODI,Karachi,2008,Lose,Bowling,309,2,35,2,6,6.79,137.17,123,7,13,3,Younis Khan,Win
|
125 |
+
India,Pakistan,ODI,Karachi,2008,Win,Batting,308,7,26,3,13,6.16,89.22,76,2,6,1,Younis Khan,Lose
|
126 |
+
India,Sri Lanka,ODI,Karachi,2008,Lose,Bowling,310,4,30,3,21,6.61,103.26,68,8,15,2,MS Dhoni,Win
|
127 |
+
Sri Lanka,India,ODI,Karachi,2008,Win,Batting,308,8,30,3,15,6.16,107.2,75,4,21,2,MS Dhoni,Lose
|
128 |
+
Pakistan,Bangladesh,ODI,Karachi,2008,Lose,Bowling,116,0,14,2,8,5.89,91.59,56,10,16,3,Abdur Rauf,Win
|
129 |
+
Bangladesh,Pakistan,ODI,Karachi,2008,Win,Batting,115,10,8,2,16,3,38.31,26,0,8,0,Abdur Rauf,Lose
|
130 |
+
India,Sri Lanka,ODI,Karachi,2008,Win,Bowling,173,10,23,0,3,4.37,50.41,60,10,9,3,Ajantha Mendis,Lose
|
131 |
+
Sri Lanka,India,ODI,Karachi,2008,Lose,Batting,273,10,21,5,9,5.47,82.77,125,10,3,6,Ajantha Mendis,Win
|
132 |
+
Sri Lanka,Pakistan,ODI,Dambulla,2010,Win,Batting,242,9,17,1,11,4.84,73.73,55,10,15,5,Shahid Afridi,Win
|
133 |
+
Pakistan,Sri Lanka,ODI,Dambulla,2010,Lose,Bowling,226,10,12,7,15,4.8,48.35,109,9,11,3,Shahid Afridi,Lose
|
134 |
+
Bangladesh,India,ODI,Dambulla,2010,Win,Batting,167,10,15,1,21,4.79,61.7,37,4,25,2,Gautam Gambhir,Lose
|
135 |
+
India,Bangladesh,ODI,Dambulla,2010,Lose,Bowling,168,4,11,1,25,5.47,65.7,82,10,21,4,Gautam Gambhir,Win
|
136 |
+
Sri Lanka,Bangladesh,ODI,Dambulla,2010,Win,Batting,312,4,28,5,13,6.24,106.19,71,10,18,3,Tillakaratne Dilshan,Win
|
137 |
+
Bangladesh,Sri Lanka,ODI,Dambulla,2010,Lose,Bowling,186,10,17,1,18,4.61,56.09,51,4,13,2,Tillakaratne Dilshan,Lose
|
138 |
+
India,Pakistan,ODI,Dambulla,2010,Lose,Bowling,271,7,14,6,24,5.43,92.55,83,10,11,3,Gautam Gambhir,Win
|
139 |
+
Pakistan,India,ODI,Dambulla,2010,Win,Batting,267,10,20,4,11,5.39,70.7,74,7,24,3,Gautam Gambhir,Lose
|
140 |
+
Bangladesh,Pakistan,ODI,Dambulla,2010,Lose,Bowling,246,5,18,2,12,4.92,67.64,97,7,11,3,Shahid Afridi,Lose
|
141 |
+
Pakistan,Bangladesh,ODI,Dambulla,2010,Win,Batting,385,7,41,10,11,7.7,129.98,124,5,12,1,Shahid Afridi,Win
|
142 |
+
Sri Lanka,India,ODI,Dambulla,2010,Win,Bowling,211,3,25,2,16,5.62,90.14,73,10,6,5,Farveez Maharoof,Win
|
143 |
+
India,Sri Lanka,ODI,Dambulla,2010,Lose,Batting,209,10,23,1,6,4.91,45.94,69,3,16,2,Farveez Maharoof,Lose
|
144 |
+
Sri Lanka,India,ODI,Dambulla,2010,Lose,Bowling,187,10,16,1,18,4.18,53.4,55,6,19,2,Dinesh Karthik,Lose
|
145 |
+
India,Sri Lanka,ODI,Dambulla,2010,Win,Batting,268,6,24,1,19,5.36,87,66,10,18,4,Dinesh Karthik,Win
|
146 |
+
Bangladesh,Pakistan,ODI,Mirpur,2012,Win,Bowling,241,10,20,3,7,5,55.13,64,8,8,3,Mohammad Hafeez,Lose
|
147 |
+
Pakistan,Bangladesh,ODI,Mirpur,2012,Lose,Batting,262,8,21,2,8,5.24,95.87,89,10,7,3,Mohammad Hafeez,Win
|
148 |
+
India,Sri Lanka,ODI,Mirpur,2012,Lose,Batting,304,3,24,2,14,6.08,111.94,108,10,8,4,Virat Kohli,Win
|
149 |
+
Sri Lanka,India,ODI,Mirpur,2012,Win,Bowling,254,10,20,5,8,5.62,73.82,78,3,14,2,Virat Kohli,Lose
|
150 |
+
Pakistan,Sri Lanka,ODI,Mirpur,2012,Lose,Bowling,189,4,21,3,5,4.74,64.33,77,10,9,4,Aizaz Cheema,Win
|
151 |
+
Sri Lanka,Pakistan,ODI,Mirpur,2012,Win,Batting,188,10,14,1,9,4.11,42.65,71,4,5,2,Aizaz Cheema,Lose
|
152 |
+
Bangladesh,India,ODI,Mirpur,2012,Win,Bowling,293,5,24,6,12,5.93,116.73,70,5,18,2,Shakib Al Hasan,Win
|
153 |
+
India,Bangladesh,ODI,Mirpur,2012,Lose,Batting,289,5,25,3,18,5.78,116.94,114,5,12,3,Shakib Al Hasan,Lose
|
154 |
+
India,Pakistan,ODI,Mirpur,2012,Lose,Bowling,330,4,34,4,11,6.89,152.32,183,6,15,2,Virat Kohli,Win
|
155 |
+
Pakistan,India,ODI,Mirpur,2012,Win,Batting,329,6,27,2,15,6.58,86.28,112,4,11,2,Virat Kohli,Lose
|
156 |
+
Bangladesh,Sri Lanka,ODI,Mirpur,2012,Win,Bowling,212,5,23,0,20,5.7,72.18,59,10,11,3,Shakib Al Hasan, Win D/L
|
157 |
+
Sri Lanka,Bangladesh,ODI,Mirpur,2012,Lose,Batting,232,10,19,1,11,4.65,64.14,62,5,20,2,Shakib Al Hasan, Lose D/L
|
158 |
+
Bangladesh,Pakistan,ODI,Mirpur,2012,Win,Bowling,234,8,20,1,11,4.68,76.41,68,9,18,2,Shahid Afridi,Lose
|
159 |
+
Pakistan,Bangladesh,ODI,Mirpur,2012,Lose,Batting,236,9,19,3,18,4.72,74.75,46,8,11,3,Shahid Afridi,Win
|
160 |
+
Pakistan,Sri Lanka,ODI,Fatullah,2014,Lose,Bowling,284,10,26,6,13,5.81,101.36,74,6,18,2,Lasith Malinga,Lose
|
161 |
+
Sri Lanka,Pakistan,ODI,Fatullah,2014,Win,Batting,296,6,29,2,18,5.92,86.84,102,10,13,5,Lasith Malinga,Win
|
162 |
+
Bangladesh,India,ODI,Fatullah,2014,Lose,Batting,279,7,20,6,18,5.58,81.02,117,4,11,1,Virat Kohli,Lose
|
163 |
+
India,Bangladesh,ODI,Fatullah,2014,Win,Bowling,280,4,29,4,11,5.71,82.58,136,7,18,4,Virat Kohli,Win
|
164 |
+
Afghanistan,Pakistan,ODI,Fatullah,2014,Win,Bowling,176,10,18,0,13,3.71,45.44,44,8,5,2,Umar Akmal,Lose
|
165 |
+
Pakistan,Afghanistan,ODI,Fatullah,2014,Lose,Batting,248,8,22,5,5,4.96,70.21,102,10,13,3,Umar Akmal,Win
|
166 |
+
India,Sri Lanka,ODI,Fatullah,2014,Lose,Batting,264,9,17,5,11,5.28,82.73,94,8,8,3,Kumar Sangakkara,Lose
|
167 |
+
Sri Lanka,India,ODI,Fatullah,2014,Win,Bowling,265,8,25,4,8,5.37,85.75,103,9,11,4,Kumar Sangakkara,Win
|
168 |
+
Bangladesh,Afghanistan,ODI,Fatullah,2014,Win,Bowling,222,10,16,4,12,4.64,52.1,50,6,17,2,Samiullah Shinwari,Lose
|
169 |
+
Afghanistan,Bangladesh,ODI,Fatullah,2014,Lose,Batting,254,6,21,5,17,5.08,55.1,90,10,12,3,Samiullah Shinwari,Win
|
170 |
+
India,Pakistan,ODI,Mirpur,2014,Lose,Batting,245,8,23,5,8,4.9,74.32,58,9,17,3,Mohammad Hafeez,Lose
|
171 |
+
Pakistan,India,ODI,Mirpur,2014,Win,Bowling,249,9,16,8,17,5.01,68.36,75,8,8,3,Mohammad Hafeez,Win
|
172 |
+
Afghanistan,Sri Lanka,ODI,Mirpur,2014,Lose,Bowling,124,10,11,2,9,3.2,38.46,37,6,18,2,Kumar Sangakkara,Lose
|
173 |
+
Sri Lanka,Afghanistan,ODI,Mirpur,2014,Win,Batting,253,6,18,2,18,5.06,79.39,76,10,9,3,Kumar Sangakkara,Win
|
174 |
+
Bangladesh,Pakistan,ODI,Mirpur,2014,Win,Batting,326,3,31,8,21,6.52,138.5,100,7,13,2,Shahid Afridi,Lose
|
175 |
+
Pakistan,Bangladesh,ODI,Mirpur,2014,Lose,Bowling,329,7,29,10,13,6.6,114.45,103,3,21,2,Shahid Afridi,Win
|
176 |
+
Afghanistan,India,ODI,Mirpur,2014,Lose,Batting,159,10,16,2,14,3.5,45.2,50,2,5,1,Ravindra Jadeja,Lose
|
177 |
+
India,Afghanistan,ODI,Mirpur,2014,Win,Bowling,160,2,13,1,5,4.94,78.63,60,10,14,4,Ravindra Jadeja,Win
|
178 |
+
Bangladesh,Sri Lanka,ODI,Mirpur,2014,Win,Batting,204,9,14,1,17,4.08,49.51,49,7,9,2,Angelo Mathews,Lose
|
179 |
+
Sri Lanka,Bangladesh,ODI,Mirpur,2014,Lose,Bowling,208,7,19,1,9,4.24,55.16,74,9,17,2,Angelo Mathews,Win
|
180 |
+
Pakistan,Sri Lanka,ODI,Mirpur,2014,Win,Batting,260,5,21,5,6,5.2,86.61,114,5,8,3,Lasith Malinga,Lose
|
181 |
+
Sri Lanka,Pakistan,ODI,Mirpur,2014,Lose,Bowling,261,5,33,2,8,5.63,78.52,101,5,6,5,Lasith Malinga,Win
|
182 |
+
Bangladesh,India,T20I,Mirpur,2016,Win,Bowling,121,7,8,3,10,6.05,72.89,44,6,7,3,Rohit Sharma,Lose
|
183 |
+
India,Bangladesh,T20I,Mirpur,2016,Lose,Batting,166,6,15,5,7,8.3,146.48,83,7,10,3,Rohit Sharma,Win
|
184 |
+
Sri Lanka,UAE,T20I,Mirpur,2016,Lose,Batting,129,8,14,1,5,6.45,87.84,50,9,16,4,Lasith Malinga,Win
|
185 |
+
UAE,Sri Lanka,T20I,Mirpur,2016,Win,Bowling,115,9,7,2,16,5.75,65.1,37,8,5,3,Lasith Malinga,Lose
|
186 |
+
Bangladesh,UAE,T20I,Mirpur,2016,Lose,Batting,133,8,8,5,5,6.65,64.8,47,10,3,2,Mahmudullah,Win
|
187 |
+
UAE,Bangladesh,T20I,Mirpur,2016,Win,Bowling,82,10,7,4,3,4.64,50.99,30,8,5,2,Mahmudullah,Lose
|
188 |
+
India,Pakistan,T20I,Mirpur,2016,Win,Bowling,85,5,10,0,14,5.48,56.88,49,10,15,3,Virat Kohli,Win
|
189 |
+
Pakistan,India,T20I,Mirpur,2016,Lose,Batting,83,10,8,0,15,4.74,70.39,25,5,14,3,Virat Kohli,Lose
|
190 |
+
Bangladesh,Sri Lanka,T20I,Mirpur,2016,Win,Batting,147,7,15,4,4,7.35,68.71,80,8,3,3,Sabbir Rahman,Win
|
191 |
+
Sri Lanka,Bangladesh,T20I,Mirpur,2016,Lose,Bowling,124,8,7,4,3,6.2,93.02,37,7,4,3,Sabbir Rahman,Lose
|
192 |
+
Pakistan,UAE,T20I,Mirpur,2016,Lose,Bowling,131,3,12,6,3,7.01,92.45,63,6,9,2,Shoaib Malik,Win
|
193 |
+
UAE,Pakistan,T20I,Mirpur,2016,Win,Batting,129,6,13,6,9,6.45,103.27,46,3,3,3,Shoaib Malik,Lose
|
194 |
+
India,Sri Lanka,T20I,Mirpur,2016,Win,Bowling,142,5,15,4,1,7.34,110.74,56,9,10,2,Virat Kohli,Win
|
195 |
+
Sri Lanka,India,T20I,Mirpur,2016,Lose,Batting,138,9,14,2,10,6.9,107.95,30,5,1,2,Virat Kohli,Lose
|
196 |
+
Bangladesh,Pakistan,T20I,Mirpur,2016,Lose,Bowling,131,5,10,3,8,6.83,118.28,48,7,0,3,Soumya Sarkar,Win
|
197 |
+
Pakistan,Bangladesh,T20I,Mirpur,2016,Win,Batting,129,7,12,4,0,6.45,68.11,58,5,8,2,Soumya Sarkar,Lose
|
198 |
+
India,UAE,T20I,Mirpur,2016,Lose,Bowling,82,1,14,2,2,8.06,132.62,39,9,7,2,Rohit Sharma,Win
|
199 |
+
UAE,India,T20I,Mirpur,2016,Win,Batting,81,9,6,1,7,4.05,34.28,43,1,2,1,Rohit Sharma,Lose
|
200 |
+
Pakistan,Sri Lanka,T20I,Mirpur,2016,Win,Bowling,151,4,18,3,7,7.81,120.67,48,4,7,2,Umar Akmal,Win
|
201 |
+
Sri Lanka,Pakistan,T20I,Mirpur,2016,Lose,Batting,150,4,17,2,7,7.5,80.93,75,4,7,1,Umar Akmal,Lose
|
202 |
+
Bangladesh,India,T20I,Mirpur,2016,Lose,Batting,120,5,12,2,3,8,115.35,33,2,0,1,Shikhar Dhawan,Lose
|
203 |
+
India,Bangladesh,T20I,Mirpur,2016,Win,Bowling,122,2,15,3,0,8.81,159.03,60,5,3,1,Shikhar Dhawan,Win
|
204 |
+
Bangladesh,Sri Lanka,ODI,Dubai(DSC),2018,Win,Batting,261,10,19,6,12,5.27,47.61,144,10,1,2,Mushfiqur Rahim,Win
|
205 |
+
Sri Lanka,Bangladesh,ODI,Dubai(DSC),2018,Lose,Bowling,124,10,8,4,1,3.5,56.26,29,10,12,4,Mushfiqur Rahim,Lose
|
206 |
+
Hong Kong,Pakistan,ODI,Dubai(DSC),2018,Win,Batting,116,10,10,1,4,3.12,40.6,27,2,4,2,Usman Shinwari,Lose
|
207 |
+
Pakistan,Hong Kong,ODI,Dubai(DSC),2018,Lose,Bowling,120,2,9,3,4,5.07,83.7,50,10,4,3,Usman Shinwari,Win
|
208 |
+
Afghanistan,Sri Lanka,ODI,Abu Dhabi,2018,Win,Batting,249,10,19,3,9,4.98,106.37,72,10,13,2,Rahmat Shah,Win
|
209 |
+
Sri Lanka,Afghanistan,ODI,Abu Dhabi,2018,Lose,Bowling,158,10,10,1,13,3.82,43.2,36,10,9,5,Rahmat Shah,Lose
|
210 |
+
Hong Kong,India,ODI,Dubai(DSC),2018,Win,Bowling,259,8,19,6,13,5.18,77.72,92,7,5,3,Shikhar Dhawan,Lose
|
211 |
+
India,Hong Kong,ODI,Dubai(DSC),2018,Lose,Batting,285,7,25,5,5,5.7,67.08,127,8,13,3,Shikhar Dhawan,Win
|
212 |
+
India,Pakistan,ODI,Dubai(DSC),2018,Lose,Bowling,164,2,17,5,4,5.65,92.42,52,10,7,3,Bhuvneshwar Kumar,Win
|
213 |
+
Pakistan,India,ODI,Dubai(DSC),2018,Win,Batting,162,10,10,2,7,3.75,45.54,47,2,4,1,Bhuvneshwar Kumar,Lose
|
214 |
+
Afghanistan,Bangladesh,ODI,Abu Dhabi,2018,Win,Batting,255,7,24,1,7,5.1,93.22,58,10,5,2,Rashid Khan,Win
|
215 |
+
Bangladesh,Afghanistan,ODI,Abu Dhabi,2018,Lose,Bowling,119,10,5,0,5,2.82,34.44,32,7,7,4,Rashid Khan,Lose
|
216 |
+
Bangladesh,India,ODI,Dubai(DSC),2018,Lose,Batting,173,10,11,4,3,3.51,56.81,42,3,4,1,Ravindra Jadeja,Lose
|
217 |
+
India,Bangladesh,ODI,Dubai(DSC),2018,Win,Bowling,174,3,13,4,4,4.78,66.77,83,10,3,4,Ravindra Jadeja,Win
|
218 |
+
Afghanistan,Pakistan,ODI,Abu Dhabi,2018,Win,Batting,257,6,16,5,5,5.14,92.35,97,7,17,3,Shoaib Malik,Lose
|
219 |
+
Pakistan,Afghanistan,ODI,Abu Dhabi,2018,Lose,Bowling,258,7,13,6,17,5.21,92.88,80,6,5,3,Shoaib Malik,Win
|
220 |
+
India,Pakistan,ODI,Dubai(DSC),2018,Lose,Bowling,238,1,24,6,1,6.02,91.31,114,7,8,2,Shikhar Dhawan,Win
|
221 |
+
Pakistan,India,ODI,Dubai(DSC),2018,Win,Batting,237,7,11,5,8,4.74,78.76,78,1,1,0,Shikhar Dhawan,Lose
|
222 |
+
Afghanistan,Bangladesh,ODI,Abu Dhabi,2018,Lose,Bowling,246,7,20,3,8,4.92,76.19,71,7,7,3,Mahmudullah,Lose
|
223 |
+
Bangladesh,Afghanistan,ODI,Abu Dhabi,2018,Win,Batting,249,7,15,3,7,4.98,72.28,74,7,8,2,Mahmudullah,Win
|
224 |
+
Afghanistan,India,ODI,Dubai(DSC),2018,Win,Batting,252,8,17,11,7,5.04,54.19,124,10,9,2,Mohammad Shahzad,No Result
|
225 |
+
India,Afghanistan,ODI,Dubai(DSC),2018,Lose,Bowling,252,10,17,5,9,5.05,71.67,60,8,7,3,Mohammad Shahzad,No Result
|
226 |
+
Bangladesh,Pakistan,ODI,Abu Dhabi,2018,Win,Batting,239,10,17,1,9,4.89,73.23,99,9,9,4,Mushfiqur Rahim,Win
|
227 |
+
Pakistan,Bangladesh,ODI,Abu Dhabi,2018,Lose,Bowling,202,9,10,2,9,4.04,60.59,83,10,9,4,Mushfiqur Rahim,Lose
|
228 |
+
Bangladesh,India,ODI,Dubai(DSC),2018,Lose,Batting,222,10,17,4,7,4.57,49.98,121,7,13,2,Litton Das,Lose
|
229 |
+
India,Bangladesh,ODI,Dubai(DSC),2018,Win,Bowling,223,7,13,6,13,4.46,73.33,48,10,7,3,Litton Das,Win
|
230 |
+
Afghanistan,Sri Lanka,T20I,Dubai(DSC),2022,Win,Bowling,106,2,10,5,12,10.42,142.44,40,10,6,3,Fazalhaq Farooqi,Win
|
231 |
+
Sri Lanka,Afghanistan,T20I,Dubai(DSC),2022,Lose,Batting,105,10,11,2,6,5.33,47.46,38,2,12,1,Fazalhaq Farooqi,Lose
|
232 |
+
India,Pakistan,T20I,Dubai(DSC),2022,Win,Bowling,148,5,10,5,14,7.52,97.77,35,10,5,4,Hardik Pandya,Win
|
233 |
+
Pakistan,India,T20I,Dubai(DSC),2022,Lose,Batting,147,10,13,4,5,7.41,114.67,43,5,14,3,Hardik Pandya,Lose
|
234 |
+
Afghanistan,Bangladesh,T20I,Sharjah,2022,Lose,Bowling,131,3,10,6,4,7.08,118.76,43,7,5,3,Mujeeb Ur Rahman,Win
|
235 |
+
Bangladesh,Afghanistan,T20I,Sharjah,2022,Win,Batting,127,7,10,1,5,6.35,87.75,48,3,4,1,Mujeeb Ur Rahman,Lose
|
236 |
+
Hong Kong,India,T20I,Dubai(DSC),2022,Win,Bowling,152,5,14,5,6,7.6,124.03,41,2,8,1,Suryakumar Yadav,Lose
|
237 |
+
India,Hong Kong,T20I,Dubai(DSC),2022,Lose,Batting,192,2,9,12,8,9.6,162.36,68,5,6,1,Suryakumar Yadav,Win
|
238 |
+
Bangladesh,Sri Lanka,T20I,Dubai(DSC),2022,Lose,Batting,183,7,15,6,10,9.15,135.4,39,8,17,3,Kusal Mendis,Lose
|
239 |
+
Sri Lanka,Bangladesh,T20I,Dubai(DSC),2022,Win,Bowling,184,8,14,6,17,9.51,123.04,60,7,10,2,Kusal Mendis,Win
|
240 |
+
Hong Kong,Pakistan,T20I,Sharjah,2022,Win,Bowling,38,10,2,0,10,3.56,35.31,8,2,18,2,Mohammad Rizwan,Lose
|
241 |
+
Pakistan,Hong Kong,T20I,Sharjah,2022,Lose,Batting,193,2,10,8,18,9.65,152.98,78,10,10,4,Mohammad Rizwan,Win
|
242 |
+
Afghanistan,Sri Lanka,T20I,Sharjah,2022,Lose,Batting,175,6,9,9,12,8.75,86.31,84,6,5,2,Rahmanullah Gurbaz,Lose
|
243 |
+
Sri Lanka,Afghanistan,T20I,Sharjah,2022,Win,Bowling,179,6,16,7,5,9.33,162.11,36,6,12,2,Rahmanullah Gurbaz,Win
|
244 |
+
India,Pakistan,T20I,Dubai(DSC),2022,Lose,Batting,181,7,16,5,14,9.05,151.54,60,5,8,1,Mohammad Nawaz,Lose
|
245 |
+
Pakistan,India,T20I,Dubai(DSC),2022,Win,Bowling,182,5,19,5,8,9.17,157.12,71,7,14,2,Mohammad Nawaz,Win
|
246 |
+
India,Sri Lanka,T20I,Dubai(DSC),2022,Lose,Batting,173,8,10,7,8,8.65,102.94,72,4,6,3,Dasun Shanaka,Lose
|
247 |
+
Sri Lanka,India,T20I,Dubai(DSC),2022,Win,Bowling,174,4,12,8,6,8.77,106.54,57,8,8,3,Dasun Shanaka,Win
|
248 |
+
Afghanistan,Pakistan,T20I,Sharjah,2022,Lose,Batting,129,6,10,5,3,6.45,93.31,35,9,5,3,Shadab Khan,Lose
|
249 |
+
Pakistan,Afghanistan,T20I,Sharjah,2022,Win,Bowling,131,9,6,8,5,6.77,102.52,36,6,3,2,Shadab Khan,Win
|
250 |
+
Afghanistan,India,T20I,Dubai(DSC),2022,Win,Bowling,111,8,9,3,3,5.55,51.25,64,2,2,2,Virat Kohli,Lose
|
251 |
+
India,Afghanistan,T20I,Dubai(DSC),2022,Lose,Batting,212,2,21,9,2,10.6,194.05,122,8,3,5,Virat Kohli,Win
|
252 |
+
Pakistan,Sri Lanka,T20I,Dubai(DSC),2022,Lose,Batting,121,10,4,3,17,6.31,58.78,30,5,5,2,Wanindu Hasaranga de Silva,Lose
|
253 |
+
Sri Lanka,Pakistan,T20I,Dubai(DSC),2022,Win,Bowling,124,5,9,5,5,7.29,111.5,55,10,17,3,Wanindu Hasaranga de Silva,Win
|
254 |
+
Pakistan,Sri Lanka,T20I,Dubai(DSC),2022,Win,Bowling,147,10,9,4,14,7.35,99.38,55,6,10,3,Bhanuka Rajapaksa,Lose
|
255 |
+
Sri Lanka,Pakistan,T20I,Dubai(DSC),2022,Lose,Batting,170,6,16,5,10,8.5,90.86,71,10,14,4,Bhanuka Rajapaksa,Win
|
Asia_cup/requirements.txt
ADDED
@@ -0,0 +1,7 @@
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1 |
+
extra_streamlit_components==0.1.56
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2 |
+
matplotlib==3.6.2
|
3 |
+
numpy==1.20.3
|
4 |
+
pandas==1.4.4
|
5 |
+
requests==2.28.1
|
6 |
+
streamlit==1.18.1
|
7 |
+
streamlit_lottie==0.0.3
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