Python Pandas Basics: Your Guide to Replacing Excel in 2021 📊

In this one we'll take a look at how we can start using pandas to do simple tasks

Spreadsheet to work alongside me -- https://www.kaggle.com/tunguz/gold-prices?select=monthly_csv.csv

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0:00 Introduction
0:50 Viewing The Data Source
1:14 Setting up Pandas
1:30 Importing Data
2:25 Viewing Data
3:34 Selecting Columns
4:40 Simple Operations
8:20 Graphing Data
9:56 Viewing Graph

Full code from the video:
import pandas as pd
import plotly.express as px

df_gold_prices = pd.read_csv('monthly_gold_prices.csv')

# Viewing data
print(df_gold_prices.tail(20))

dates = df_gold_prices['Date']
prices = df_gold_prices['Price']

# simple operations
df_gold_prices['buy_price'] = prices * .9
print(df_gold_prices['Price'].max())
df_gold_prices['Date'] = df_gold_prices['Date'].str.replace('-', '')

print(df_gold_prices)

fig = px.line(df_gold_prices, x = dates, y = prices, title = 'Gold Prices over Time')
fig.show()



Packages (& Versions) used in this video:
Pandas 1.3.2
Plotly


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