Extracting date and time from Pandas DateTime

Python Pandas Numpy: Exercise-34 with Solution

Extract the date and time components from a DateTime column.

Sample Solution:

Python Code:

import pandas as pd

# Create a sample DataFrame with a DateTime column
data = {'DateTime': ['2012-01-01 08:30:00', '2012-01-02 12:45:00', '2012-01-03 18:15:00']}
df = pd.DataFrame(data)

# Convert the 'DateTime' column to a datetime type
df['DateTime'] = pd.to_datetime(df['DateTime'])

# Extract date and time components
df['Date'] = df['DateTime'].dt.date
df['Time'] = df['DateTime'].dt.time

# Display the DataFrame with extracted components
print(df)

Output:

             DateTime        Date      Time
0 2012-01-01 08:30:00  2012-01-01  08:30:00
1 2012-01-02 12:45:00  2012-01-02  12:45:00
2 2012-01-03 18:15:00  2012-01-03  18:15:00

Explanation:

Here's a breakdown of the above code:

• First we create a sample DataFrame (df) with a 'DateTime' column containing strings representing date and time.
• Next we use pd.to_datetime() to convert the 'DateTime' column to a Pandas datetime type.
• The df['DateTime'].dt.date extracts the date component, and df['DateTime'].dt.time extracts the time component.
• New columns 'Date' and 'Time' are added to the DataFrame.
• The resulting DataFrame is printed.

Flowchart:

Python Code Editor:

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