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Convert timestamp to ISO Format in Pandas

Converting a timestamp to ISO 8601 format is a common task when dealing with datetime data, especially if you need to ensure consistent and standardized datetime formats. Here's a tutorial to help you convert timestamps to ISO 8601 format using pandas.

Convert Timestamp to ISO 8601 Format in Pandas

1. Setup:

Make sure you have pandas installed:

pip install pandas

2. Import Necessary Libraries:

import pandas as pd

3. Create a Sample Timestamp:

You can create a sample timestamp using pd.Timestamp:

timestamp = pd.Timestamp('2023-08-31 12:45:30')
print(timestamp)

4. Convert Timestamp to ISO Format:

Pandas Timestamp objects have a method called isoformat() that converts them to ISO 8601 format:

iso_format = timestamp.isoformat()
print(iso_format)

This will give you an output like '2023-08-31T12:45:30', which is in the ISO 8601 format.

5. Convert a Series of Timestamps to ISO Format:

If you have a Series of Timestamps and you want to convert all of them to ISO format, you can apply the isoformat() method to the entire Series:

timestamps_series = pd.Series([pd.Timestamp('2023-08-31 12:45:30'), pd.Timestamp('2023-09-01 14:15:45')])
iso_series = timestamps_series.apply(lambda x: x.isoformat())
print(iso_series)

6. Working with ISO 8601 Format with Time Zones:

ISO 8601 format can also include timezone information:

timestamp_with_timezone = pd.Timestamp('2023-08-31 12:45:30', tz='US/Eastern')
iso_format_with_timezone = timestamp_with_timezone.isoformat()
print(iso_format_with_timezone)

This will give you an output like '2023-08-31T12:45:30-04:00', which includes the offset for the US Eastern timezone.

7. Summary:

The ISO 8601 datetime format is a popular choice for ensuring consistent datetime representation across different systems. With pandas, converting to this format is straightforward using the isoformat() method. Whether you're working with individual timestamps or a Series of them, pandas provides an easy way to get them in ISO 8601 format.

Convert Pandas timestamp to ISO datetime:

Description: Use the .isoformat() method to convert a Pandas timestamp to ISO datetime format.

Code:

import pandas as pd

# Sample timestamp
timestamp = pd.Timestamp('2022-01-01 12:00:00')

# Convert timestamp to ISO datetime
iso_datetime = timestamp.isoformat()

ISO format conversion in Pandas DataFrame:

Description: Use the pd.to_datetime() function to convert a column in a Pandas DataFrame to ISO datetime format.

Code:

import pandas as pd

# Sample DataFrame with a datetime column
df = pd.DataFrame({'datetime': ['2022-01-01 12:00:00', '2022-01-02 15:30:00']})

# Convert column to ISO datetime format
df['iso_datetime'] = pd.to_datetime(df['datetime']).dt.isoformat()

Using to_iso8601 for timestamp conversion in Pandas:

Description: Use the .dt.to_iso8601() method to convert a timestamp to ISO 8601 format in Pandas.

Code:

import pandas as pd

# Sample timestamp
timestamp = pd.Timestamp('2022-01-01 12:00:00')

# Convert timestamp to ISO 8601 format
iso8601_format = timestamp.dt.to_iso8601()

Convert Unix timestamp to ISO format in Pandas:

Description: Use the pd.to_datetime() function to convert a Unix timestamp to ISO datetime format in Pandas.

Code:

import pandas as pd

# Sample Unix timestamp
unix_timestamp = 1641000000  # Example timestamp for 2022-01-01 00:00:00

# Convert Unix timestamp to ISO format
iso_datetime = pd.to_datetime(unix_timestamp, unit='s').isoformat()

Datetime to ISO string in Pandas:

Description: Use the .dt.strftime('%Y-%m-%dT%H:%M:%S') method to convert a datetime column to ISO datetime format in Pandas.

Code:

import pandas as pd

# Sample DataFrame with a datetime column
df = pd.DataFrame({'datetime': ['2022-01-01 12:00:00', '2022-01-02 15:30:00']})

# Convert datetime column to ISO format
df['iso_datetime'] = pd.to_datetime(df['datetime']).dt.strftime('%Y-%m-%dT%H:%M:%S')

ISO 8601 timestamp formatting in Pandas:

Description: Use the .dt.strftime('%Y-%m-%dT%H:%M:%S') method to format a datetime column to ISO 8601 in Pandas.

Code:

import pandas as pd

# Sample DataFrame with a datetime column
df = pd.DataFrame({'datetime': ['2022-01-01 12:00:00', '2022-01-02 15:30:00']})

# Format datetime column to ISO 8601
df['iso8601_datetime'] = pd.to_datetime(df['datetime']).dt.strftime('%Y-%m-%dT%H:%M:%S')

Pandas to_datetime ISO format examples:

Description: Use the pd.to_datetime() function with the format parameter to convert a column to ISO datetime format in Pandas.

Code:

import pandas as pd

# Sample DataFrame with a datetime column
df = pd.DataFrame({'datetime': ['2022-01-01 12:00:00', '2022-01-02 15:30:00']})

# Convert datetime column to ISO format using to_datetime
df['iso_datetime'] = pd.to_datetime(df['datetime'], format='%Y-%m-%dT%H:%M:%S').dt.isoformat()

ISO timestamp conversion with Pandas Series:

Description: Use the .apply() method to convert a Pandas Series of timestamps to ISO datetime format.

Code:

import pandas as pd

# Sample Series with timestamps
timestamps = pd.Series([pd.Timestamp('2022-01-01 12:00:00'), pd.Timestamp('2022-01-02 15:30:00')])

# Convert Series to ISO datetime format
iso_datetime_series = timestamps.apply(lambda x: x.isoformat())

String to ISO datetime in Pandas DataFrame:

Description: Use the pd.to_datetime() function to convert a string column to ISO datetime format in a Pandas DataFrame.

Code:

import pandas as pd

# Sample DataFrame with a string column
df = pd.DataFrame({'date_string': ['2022-01-01', '2022-01-02']})

# Convert string column to ISO datetime format
df['iso_datetime'] = pd.to_datetime(df['date_string']).dt.isoformat()