Can you give me some examples of using DataFrames in Pandas?
Sure! A DataFrame in Pandas is a 2-dimensional labeled data structure. Here's a simple example:
import pandas as pd
data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]}
df = pd.DataFrame(data)
print(df)
This will create a DataFrame with names and ages.
What if I want to filter the DataFrame for people older than 28?
You can filter the DataFrame using boolean indexing. Here's how:
filtered_df = df[df['Age'] > 28]
print(filtered_df)
This will return a DataFrame with only Bob and Charlie.
How can I add a new column to the DataFrame?
You can add a new column by simply assigning a list or a value to a new column name. For example:
df['City'] = ['New York', 'Los Angeles', 'Chicago']
print(df)
This adds a 'City' column to your DataFrame.
Can I group the data by a specific column?
Yes, you can group data using the groupby
method. For example:
grouped = df.groupby('City').mean()
print(grouped)
This will group the data by 'City' and calculate the mean for numeric columns.
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