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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"id": "d6b32183", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"import pandas as pd" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 2, | ||
"id": "06528676", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"['BTC', 'XRP', 'LTC', 'ADA', 'ETH']" | ||
] | ||
}, | ||
"execution_count": 2, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"# TASK 1 - Defining a Python List That Contains 5 Crypto Currencies\n", | ||
"crypto_list = ['BTC', 'XRP', 'LTC', 'ADA', 'ETH' ]\n", | ||
"crypto_list" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 3, | ||
"id": "e096be91", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"list" | ||
] | ||
}, | ||
"execution_count": 3, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"# Confirming the Data Type\n", | ||
"type(crypto_list)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 4, | ||
"id": "fcbbca46", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"0 BTC\n", | ||
"1 XRP\n", | ||
"2 LTC\n", | ||
"3 ADA\n", | ||
"4 ETH\n", | ||
"dtype: object" | ||
] | ||
}, | ||
"execution_count": 4, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"# Creating A One Dimensional Pandas Series\n", | ||
"crypto_series = pd.Series(data = crypto_list)\n", | ||
"crypto_series" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 5, | ||
"id": "738552c3", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"pandas.core.series.Series" | ||
] | ||
}, | ||
"execution_count": 5, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"# Confirming the Pandas Series Data Type\n", | ||
"type(crypto_series)\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 6, | ||
"id": "9c26d8b8", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"data": { | ||
"text/plain": [ | ||
"0 2000\n", | ||
"1 500\n", | ||
"2 2000\n", | ||
"3 20\n", | ||
"4 50\n", | ||
"dtype: int64" | ||
] | ||
}, | ||
"execution_count": 6, | ||
"metadata": {}, | ||
"output_type": "execute_result" | ||
} | ||
], | ||
"source": [ | ||
"# Defining Another Pandas Series with Crypto Prices\n", | ||
"crypto_prices_series = pd.Series(data = [2000, 500, 2000, 20, 50])\n", | ||
"crypto_prices_series" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "Python 3 (ipykernel)", | ||
"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": "3.12.1" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |