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"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"M2X = pd.read_csv('M2X.csv')\n",
"M2X2 = pd.read_csv('M2X2.csv')\n",
"M2X3 = pd.read_csv('M2X3.csv')\n",
"M2X4 = pd.read_csv('M2X4.csv')"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"M2Xn = pd.concat([M2X, M2X2, M2X3, M2X4],axis = 1)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"M2Xn.to_csv('M2Xn.csv', index=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"interpreter": {
"hash": "b43b91101fb7361b6ea74e48111b7449281637cecc6b0034541f7043ed3e6d27"
},
"kernelspec": {
"display_name": "Python 3.9.12 ('project')",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.12"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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