Search⌘ K
AI Features
Home
Courses
Data Analysis & Processing with Pandas

Challenge Solution Review

Explore how to analyze DataFrames by reviewing solutions that identify the most popular and profitable items from data. Learn to load CSV data, group by item ID, count and sum values, rename columns, and sort results using pandas methods to perform effective data analysis and manipulation.

We'll cover the following...

Solution review - Find the most popular item

Python 3.5
import pandas as pd
df = pd.read_csv("raw_data.csv",
                 sep=",",
                 header=0)
df = df.groupby(["Item ID"]).count()
df.rename(columns={"Price": "Item Count"}, inplace=True)
ic = df.sort_values("Item Count", ascending=False).head(1)["Item Count"]
print(ic.index[0])
print(ic.values[0])

From line 3 to line 5, the CSV file is loaded to the DataFrame object.

line 7 groups the data by the Item ID column, meanwhile, count() is performed on ...