Python Pandas中科学计数法转整数及电影数据处理问题

Hey there! Let's break down your Pandas questions one by one—super cool you're working with movie datasets as a Python beginner, that's such a fun way to learn!

1. Converting Non-Integer Gross Earnings to Integers #

Since your gross earnings values are non-integers (likely floats), you have two straightforward ways to convert them to integers, depending on whether you want to truncate decimals or round to the nearest whole number:

import pandas as pd

# Load your dataset first
dataset = pd.read_excel('movies.xls')

# Optional but safe: Handle missing values first (replace NaNs with 0 if needed)
dataset['Gross Earnings'] = dataset['Gross Earnings'].fillna(0)

# Method 1: Truncate decimal places (drop fractional part entirely)
dataset['Gross Earnings'] = dataset['Gross Earnings'].astype(int)

# Method 2: Round to nearest integer first, then convert
dataset['Gross Earnings'] = dataset['Gross Earnings'].round().astype(int)

2. Converting Scientific Notation Values to Integers #

Scientific notation in Pandas is usually just a display format (the underlying value is still a numeric type), but if your values are stored as string-formatted scientific notation, here's how to fix both cases:

# Case 1: Values are stored as strings (e.g., '1.23e+08')
dataset['Gross Earnings'] = pd.to_numeric(dataset['Gross Earnings'], errors='coerce').fillna(0).astype(int)

# Case 2: Values are numeric but displayed in scientific notation
# Turn off scientific notation for all displays in your session
pd.set_option('display.float_format', lambda x: '%d' % x)

3. Fetching the Target Value for Statistical Functions #

You mentioned you've already filtered the row with the highest IMDB score and gross earnings—here's how to extract that specific value and use it in statistical calculations:

# First, get the max values for your filters
max_rating = dataset['IMDB Score'].max()
max_gross = dataset['Gross Earnings'].max()

# Filter to get the exact row you need
top_movie_row = dataset[(dataset['IMDB Score'] == max_rating) & (dataset['Gross Earnings'] == max_gross)]

# Extract the gross earnings value as an integer
top_movie_gross = top_movie_row['Gross Earnings'].iloc[0].astype(int)

# Example statistical use: Calculate what percentage this movie contributes to total gross earnings
total_gross = dataset['Gross Earnings'].sum()
contribution_percent = (top_movie_gross / total_gross) * 100
print(f"This top movie makes up {contribution_percent:.2f}% of the total gross earnings!")

Hope this helps you wrap up your dataset work smoothly as you keep learning Pandas!

内容的提问来源于stack exchange，提问作者Muhammad Ahmed