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concat merge lab complete #266

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concat merge lab complete #266

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121 changes: 107 additions & 14 deletions your-code/pandas_1_concat-merge-join.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -80,10 +80,34 @@
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"metadata": {
"lines_to_next_cell": 2
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" A B C\n",
"0 a0 b0 c0\n",
"1 a1 b1 c1\n",
"2 a2 b2 c2\n",
"3 a3 b3 c3\n",
"4 a4 b4 c4\n",
"5 a5 b5 c5\n",
" D E F\n",
"0 d0 e0 f0\n",
"1 d1 e1 f1\n",
"2 d2 e2 f2\n",
"3 d3 e3 f3\n",
"4 d4 e4 f4\n",
"5 d5 e5 f5\n"
]
}
],
"source": [
"# your code here"
"print(pd.concat([df1, df2]))\n",
"print(pd.concat([df3, df4]))"
]
},
{
Expand All @@ -101,9 +125,29 @@
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" A B C D E F\n",
"0 a0 b0 c0 NaN NaN NaN\n",
"1 a1 b1 c1 NaN NaN NaN\n",
"2 a2 b2 c2 NaN NaN NaN\n",
"3 a3 b3 c3 NaN NaN NaN\n",
"4 a4 b4 c4 NaN NaN NaN\n",
"5 a5 b5 c5 NaN NaN NaN\n",
"0 NaN NaN NaN d0 e0 f0\n",
"1 NaN NaN NaN d1 e1 f1\n",
"2 NaN NaN NaN d2 e2 f2\n",
"3 NaN NaN NaN d3 e3 f3\n",
"4 NaN NaN NaN d4 e4 f4\n",
"5 NaN NaN NaN d5 e5 f5\n"
]
}
],
"source": [
"# your code here"
"print(pd.concat([df1, df2, df3, df4], sort=False))"
]
},
{
Expand All @@ -124,9 +168,29 @@
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" A B C D E F\n",
"0 a0 b0 c0 NaN NaN NaN\n",
"1 a1 b1 c1 NaN NaN NaN\n",
"2 a2 b2 c2 NaN NaN NaN\n",
"3 a3 b3 c3 NaN NaN NaN\n",
"4 a4 b4 c4 NaN NaN NaN\n",
"5 a5 b5 c5 NaN NaN NaN\n",
"6 NaN NaN NaN d0 e0 f0\n",
"7 NaN NaN NaN d1 e1 f1\n",
"8 NaN NaN NaN d2 e2 f2\n",
"9 NaN NaN NaN d3 e3 f3\n",
"10 NaN NaN NaN d4 e4 f4\n",
"11 NaN NaN NaN d5 e5 f5\n"
]
}
],
"source": [
"# your code here"
"print(pd.concat([df1, df2, df3, df4], ignore_index=True, sort=False))"
]
},
{
Expand Down Expand Up @@ -322,9 +386,19 @@
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" idx A B C D\n",
"0 i1 a1 b1 c1 d1\n",
"1 i2 a2 b2 c2 d2\n"
]
}
],
"source": [
"# your code here"
"print(left.merge(right, on='idx'))"
]
},
{
Expand Down Expand Up @@ -366,15 +440,34 @@
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" A B C D E F\n",
"0 a0 b0 c0 d0 e0 f0\n",
"1 a1 b1 c1 d1 e1 f1\n",
"2 a2 b2 c2 d2 e2 f2\n",
"3 a3 b3 c3 d3 e3 f3\n",
"4 a4 b4 c4 d4 e4 f4\n",
"5 a5 b5 c5 d5 e5 f5\n"
]
}
],
"source": [
"# your code here"
"print(pd.merge(\n",
" pd.concat([df1, df2], ignore_index=True),\n",
" pd.concat([df3, df4], ignore_index=True),\n",
" left_index=True,\n",
" right_index=True\n",
"))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -388,7 +481,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.7"
},
"toc": {
"base_numbering": 1,
Expand All @@ -405,5 +498,5 @@
}
},
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 4
}