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Merge branch 'master' into python-selenium
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‎pandas-reset-index/Main_Code.ipynb‎

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"metadata": {},
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"outputs": [],
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"source": [
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"!Python -m pip install pandas pyarrow"
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"!python -m pip install pandas pyarrow"
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]
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},
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{
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"id": "a822bb24-af5b-47d1-b51e-0d93a419e95f",
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"metadata": {},
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"source": [
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"# This code will fail due to the duplicate index.\n",
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"> The following code will fail due to the duplicate index.\n",
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"\n",
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"all_beach_boys.loc[3:4]"
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"```\n",
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"all_beach_boys.loc[3:4]\n",
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"```"
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]
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},
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{
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"id": "cf30ce38-8b34-426b-801d-4329a19b36e8",
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"metadata": {},
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"source": [
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"# This code will fail due to the duplicate index.\n",
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"> The following code will fail due to the duplicate index:\n",
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"\n",
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"all_beach_boys.filter(items=[1, 3], axis=\"index\")"
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"```\n",
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"all_beach_boys.filter(items=[1, 3], axis=\"index\")\n",
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"```"
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]
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},
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{
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"metadata": {},
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"outputs": [],
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"source": [
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"beach_boys.index = [f\"Employee_{x}\" for x in range(len(beach_boys))]\n",
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"beach_boys.index = [f\"Employee_{x + 1}\" for x in range(len(beach_boys))]\n",
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"beach_boys"
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]
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"beach_boys.loc[[\"Employee_3\"]]"
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"beach_boys.loc[[\"Employee_4\"]]"
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]
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},
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{
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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": "3.12.0"
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"version": "3.12.7"
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}
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},
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"nbformat": 4,

‎pandas-reset-index/README.md‎

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# How to Reset a pandas DataFrame Index
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3-
These are the download files you can use with the Real Python tutorial [How to Reset a pandas DataFrame Index](https://realpython.com/how-to-pandas-reset-index-dataframe/):
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These are the download files you can use with the Real Python tutorial [How to Reset a pandas DataFrame Index](https://realpython.com/pandas-reset-index/):
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- `Main_Code.ipynb` contains the main code from the tutorial.
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- `Solutions.ipynb` contains sample solutions to the various exercises.

‎pandas-reset-index/Solutions.ipynb‎

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"\n",
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"import pandas as pd\n",
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"\n",
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"beach_boys = pd.read_csv(\n",
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" \"band_members.csv\",\n",
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" parse_dates=[\"date_of_birth\"],\n",
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" dayfirst=True,\n",
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").convert_dtypes(dtype_backend=\"pyarrow\")\n",
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"\n",
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"beach_boys = beach_boys.assign(\n",
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" date_of_birth=beach_boys[\"date_of_birth\"].dt.date\n",
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"beach_boys = (\n",
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" pd.read_csv(\n",
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" \"band_members.csv\",\n",
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" parse_dates=[\"date_of_birth\"],\n",
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" dayfirst=True,\n",
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" )\n",
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" .convert_dtypes(dtype_backend=\"pyarrow\")\n",
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" .assign(\n",
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" date_of_birth=lambda beach_boys: beach_boys[\"date_of_birth\"].dt.date\n",
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" )\n",
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")\n",
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"beach_boys"
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]
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"outputs": [],
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"source": [
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"# (ii) Using .index\n",
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"beach_boys.index = [x for x in range(len(beach_boys))]\n",
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"beach_boys.index = range(len(beach_boys))\n",
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"beach_boys"
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]
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},
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").convert_dtypes(dtype_backend=\"pyarrow\")"
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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": "d0de567e-5d9b-4852-af9d-d8cff07f4f5b",
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"metadata": {},
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"outputs": [],
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"source": [
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"beach_boys.index = beach_boys[\"last_name\"].str.cat(\n",
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" beach_boys[\"first_name\"].str[0]\n",
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")\n",
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"\n",
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"beach_boys"
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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": "f62038bd-fa3e-4c51-bf62-09d32f30c719",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Alternative, with apply(). Will be slow for big DataFrames\n",
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"def calculate_user_ID(row):\n",
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" return f\"{row[\"last_name\"]}{row[\"first_name\"][0]}\"\n",
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"\n",
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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": "3.12.0"
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"version": "3.12.7"
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}
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},
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"nbformat": 4,

‎python-dict-comprehension/README.md‎

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# Python Dictionary Comprehensions: How and When to Use Them
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This folder provides the code examples for the Real Python tutorial [Python Dictionary Comprehensions: How and When to Use Them](https://realpython.com/python-dictionary-comprehension/).

‎python-dict-comprehension/computer_parts_v1.py‎

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parts = [
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"CPU",
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"GPU",
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"Motherboard",
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"RAM",
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"SSD",
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"Power Supply",
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"Case",
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"Cooling Fan",
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]
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stocks = [15, 8, 12, 30, 25, 10, 5, 20]
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print({part: stock for part, stock in zip(parts, stocks)})

‎python-dict-comprehension/computer_parts_v2.py‎

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parts = [
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"CPU",
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"GPU",
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"Motherboard",
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"RAM",
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"SSD",
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"Power Supply",
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"Case",
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"Cooling Fan",
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]
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stocks = [15, 8, 12, 30, 25, 10, 5, 20]
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part_costs = [250, 500, 150, 80, 100, 120, 70, 25]
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print(
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{
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part: stock * cost
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for part, stock, cost in zip(parts, stocks, part_costs)
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}
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)

‎python-dict-comprehension/contructor.py‎

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print(dict(apple=0.40, orange=0.35, banana=0.25))

‎python-dict-comprehension/filter_keys.py‎

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codes = {
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"1001": "Townsville",
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"1002": "Lakeview",
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"1003": "Mountainview",
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"1101": "Riverside",
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"1102": "Hilltop",
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"1201": "Greenfield",
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"1202": "Sunnydale",
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"1301": "Meadowbrook",
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"1302": "Creekwood",
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}
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print({code: town for code, town in codes.items() if "1100" <= code <= "1300"})

‎python-dict-comprehension/filter_values.py‎

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numbers = {"one": 1, "two": 2, "three": 3, "four": 4, "five": 5}
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print({key: value for key, value in numbers.items() if value % 2 == 0})

‎python-dict-comprehension/fruits_v1.py‎

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fruits = ["apple", "banana", "cherry"]
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print({fruit.upper(): len(fruit) for fruit in fruits})

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