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kn_​forum_​71236_​string_​to_​date_​id

extract Date and Time from string

extract Date and Time from string

ChatGPT says:In Java, when dealing with time offsets in date formatting, there are two different options: 'Z', whichrepresents the offset in the form of '+HH:mm' or '-HH:mm', and 'X', which represents the offset inthe form of 'Z' for UTC or '+HH:mm'/'-HH:mm' for other time zones.Here's a breakdown of the difference between 'Z', 'X', and 'x' format patterns in Java dateformatting:'Z' (capital Z): It represents the offset in the form of '+HH:mm' or '-HH:mm', which denotes thedifference between the local time and Coordinated Universal Time (UTC). The offset is eitherpositive (east of UTC) or negative (west of UTC).'X': It represents the offset in a more human-readable form. For UTC, it is represented as 'Z'. Forother time zones, it is represented in the form of '+HH:mm' or '-HH:mm', indicating the differencefrom UTC.'x': This is similar to 'X' in terms of representing the offset, but it includes a colon between thehours and minutes, e.g., '+HH:mm' or '-HH:mm'. This format is mostly used when the colon isrequired as a separator.In summary, 'Z' represents the offset as '+HH:mm' or '-HH:mm', 'X' represents it as 'Z' for UTC or'+HH:mm'/'-HH:mm' for other time zones, and 'x' represents it as '+HH:mm' or '-HH:mm' with acolon separator. extract Date and Time from stringhttps://forum.knime.com/t/cant-parsing-string-to-date-time/71236/4?u=mlauber71 import knime.scripting.io as knioimport pandas as pddf = knio.input_tables[0].to_pandas()# Convert the 'datetime_str' column to datetime objects with the specified formatdf['datetime'] = pd.to_datetime(df['datetime_str'], format='%d %b %Y %H:%M:%S %z')knio.output_tables[0] = knio.Table.from_pandas(df) datetime_strdd MMM yyyy HH:mm:ss Zdd MMM yyyy HH:mm:ss xdd MMM yyyy HH:mm:ss X Table Creator String to Date&Time String to Date&Time String to Date&Time Python Script ChatGPT says:In Java, when dealing with time offsets in date formatting, there are two different options: 'Z', whichrepresents the offset in the form of '+HH:mm' or '-HH:mm', and 'X', which represents the offset inthe form of 'Z' for UTC or '+HH:mm'/'-HH:mm' for other time zones.Here's a breakdown of the difference between 'Z', 'X', and 'x' format patterns in Java dateformatting:'Z' (capital Z): It represents the offset in the form of '+HH:mm' or '-HH:mm', which denotes thedifference between the local time and Coordinated Universal Time (UTC). The offset is eitherpositive (east of UTC) or negative (west of UTC).'X': It represents the offset in a more human-readable form. For UTC, it is represented as 'Z'. Forother time zones, it is represented in the form of '+HH:mm' or '-HH:mm', indicating the differencefrom UTC.'x': This is similar to 'X' in terms of representing the offset, but it includes a colon between thehours and minutes, e.g., '+HH:mm' or '-HH:mm'. This format is mostly used when the colon isrequired as a separator.In summary, 'Z' represents the offset as '+HH:mm' or '-HH:mm', 'X' represents it as 'Z' for UTC or'+HH:mm'/'-HH:mm' for other time zones, and 'x' represents it as '+HH:mm' or '-HH:mm' with acolon separator. extract Date and Time from stringhttps://forum.knime.com/t/cant-parsing-string-to-date-time/71236/4?u=mlauber71 import knime.scripting.io as knioimport pandas as pddf = knio.input_tables[0].to_pandas()# Convert the 'datetime_str' column to datetime objects with the specified formatdf['datetime'] = pd.to_datetime(df['datetime_str'], format='%d %b %Y %H:%M:%S %z')knio.output_tables[0] = knio.Table.from_pandas(df) datetime_strdd MMM yyyy HH:mm:ss Zdd MMM yyyy HH:mm:ss xdd MMM yyyy HH:mm:ss X Table Creator String to Date&Time String to Date&Time String to Date&Time Python Script

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