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machinelearning147/agreagate-dictionaries-with-common-keys.ipynb

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agreagate-dictionaries-with-common-keys.ipynb
{
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"metadata": {
"colab": {
"name": "agreagate dictionaries with common keys.ipynb",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyNHigvnjZNP4OvY6iIDJHnF",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
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"language_info": {
"name": "python"
}
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"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/machinelearning147/f18ee060618a713dc68715dbda41be92/agreagate-dictionaries-with-common-keys.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"# Method 1 "
],
"metadata": {
"id": "vQfXUq6CLgfq"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "thPN_LMDCyfh"
},
"outputs": [],
"source": [
"from collections import Counter\n",
"dictA = {'Mon': 23, 'Tue': 11, 'Sun': 6}\n",
"dictB = {'Wed': 10, 'Mon': 12, 'Sun': 4}\n"
]
},
{
"cell_type": "code",
"source": [
"\n",
"res = Counter(dictA) + Counter(dictB)\n",
"print(res)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "VxVZCwIhC1D2",
"outputId": "b036bc2a-c6cf-40fd-f264-7da72c9e567a"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Counter({'Mon': 35, 'Tue': 11, 'Sun': 10, 'Wed': 10})\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"# Method 2"
],
"metadata": {
"id": "iipMJJncLlZH"
}
},
{
"cell_type": "code",
"source": [
"import pandas as pd"
],
"metadata": {
"id": "7nQeO-YYDLym"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"df = pd.DataFrame([dictA, dictB])\n",
"df"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 112
},
"id": "eEbp9l3WDmLG",
"outputId": "2005e4e0-0490-483f-da36-6211091b3b51"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" Mon Tue Sun Wed\n",
"0 23 11.0 6 NaN\n",
"1 12 NaN 4 10.0"
],
"text/html": [
"\n",
" <div id=\"df-ef16f980-4156-4c22-9cc3-0a4543647cde\">\n",
" <div class=\"colab-df-container\">\n",
" <div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
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" </tr>\n",
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" <th>1</th>\n",
" <td>12</td>\n",
" <td>NaN</td>\n",
" <td>4</td>\n",
" <td>10.0</td>\n",
" </tr>\n",
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"</table>\n",
"</div>\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ef16f980-4156-4c22-9cc3-0a4543647cde')\"\n",
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"\n",
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" }\n",
"\n",
" .colab-df-convert:hover {\n",
" background-color: #E2EBFA;\n",
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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"\n",
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" document.querySelector('#df-ef16f980-4156-4c22-9cc3-0a4543647cde button.colab-df-convert');\n",
" buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n",
" async function convertToInteractive(key) {\n",
" const element = document.querySelector('#df-ef16f980-4156-4c22-9cc3-0a4543647cde');\n",
" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
" </div>\n",
" "
]
},
"metadata": {},
"execution_count": 5
}
]
},
{
"cell_type": "code",
"source": [
"df.sum()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "LYxfOssPDrCz",
"outputId": "bf293614-a856-49de-b395-ee1ca082d9e1"
},
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Mon 35.0\n",
"Tue 11.0\n",
"Sun 10.0\n",
"Wed 10.0\n",
"dtype: float64"
]
},
"metadata": {},
"execution_count": 6
}
]
},
{
"cell_type": "code",
"source": [
""
],
"metadata": {
"id": "p4HS-oBqEKNV"
},
"execution_count": null,
"outputs": []
}
]
}
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