How Pandas Timestamp. timestamp with example

In pandas, the Timestamp.timestamp() method returns the POSIX timestamp, which represents the number of seconds since January 1, 1970 (UNIX epoch) as a floating-point value. Here’s an example that demonstrates the usage of Timestamp.timestamp():

import pandas as pd

# Create a Timestamp object
timestamp = pd.Timestamp('2023-05-15 12:30:00')

# Get the POSIX timestamp
posix_timestamp = timestamp.timestamp()

# Print the POSIX timestamp
print("POSIX Timestamp:", posix_timestamp)

In this example, we create a Timestamp object timestamp representing May 15, 2023, at 12:30:00. We then use the timestamp.timestamp() method to obtain the POSIX timestamp. Finally, we print the POSIX timestamp.

The output will be the POSIX timestamp value as a floating-point number, which represents the number of seconds since the UNIX epoch. For example, the output might look like:

POSIX Timestamp: 1680113400.0

Note that the timestamp() method is available on individual Timestamp objects and not on the entire DataFrame. If you have a column of timestamps in a DataFrame, you can apply the timestamp() method to that column to obtain the POSIX timestamps for each element.

In pandas, the Timestamp.timestamp() method returns the POSIX timestamp, which represents the number of seconds since January 1, 1970 (UNIX epoch) as a floating-point value. Here’s an example that demonstrates the usage of Timestamp.timestamp():

import pandas as pd

# Create a Timestamp object
timestamp = pd.Timestamp('2023-05-15 12:30:00')

# Get the POSIX timestamp
posix_timestamp = timestamp.timestamp()

# Print the POSIX timestamp
print("POSIX Timestamp:", posix_timestamp)

In this example, we create a Timestamp object timestamp representing May 15, 2023, at 12:30:00. We then use the timestamp.timestamp() method to obtain the POSIX timestamp. Finally, we print the POSIX timestamp.

The output will be the POSIX timestamp value as a floating-point number, which represents the number of seconds since the UNIX epoch. For example, the output might look like:

POSIX Timestamp: 1680113400.0

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Note that the timestamp() method is available on individual Timestamp objects and not on the entire DataFrame. If you have a column of timestamps in a DataFrame, you can apply the timestamp() method to that column to obtain the POSIX timestamps for each element.

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