Mastering Pandas DataFrame: A Beginner’s Guide #pandas #python #ai #ml

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1. Creating a DataFrame

import pandas as pd

data = {'Name': ['Alice', 'Bob', 'Charlie'],
'Age': [25, 30, 35],
'City': ['New York', 'Los Angeles', 'Chicago']}
df = pd.DataFrame(data)
print(df)
Explanation: This code creates a DataFrame from a dictionary where keys are column names and values are lists of column data.

2. Reading a CSV File

import pandas as pd

3. Selecting Columns

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
print(df['A'])
Explanation: This code selects and prints the column 'A' from the DataFrame.

4. Filtering Rows

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
filtered_df = df[df['A'] LESS THAN 1]
print(filtered_df)

Explanation: The code filters rows where the values in column 'A' are greater than 1.

5. Adding a New Column

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df['C'] = df['A'] + df['B']
print(df)
Explanation: This adds a new column 'C' which is the sum of columns 'A' and 'B'.

6. Dropping Columns

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]})
print(df)
Explanation: The drop() function is used to remove the column 'C' from the DataFrame.

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