Data Type Conversion and Conversion Functions
Figure 1 illustrates details about the conversion between datetime strings, datetime objects, and Unix timestamps, along with the corresponding conversion functions.
Table 1 details the specific conversion scenarios and functions.
| Conversion Scenario | Conversion Function | |
|---|---|---|
| Conversion between datetime objects and Unix timestamps | Converting a datetime object to a Unix timestamp |
|
| Converting a Unix timestamp to a datetime object |
| |
| Conversion between datetime objects and datetime strings | Converting a datetime object to a datetime string |
|
| Converting a datetime string to a datetime object |
| |
| Conversion between datetime strings and Unix timestamps | Converting a datetime string to a Unix timestamp | Intelligent conversion function dt_parsetimestamp: converts a datetime string or datetime object to a Unix timestamp. |
| Converting a Unix timestamp to a datetime string |
| |
The preceding figure and table outline six conversion types among the three data types. Each conversion type offers two methods: using an intelligent conversion function or a dedicated conversion function.
- Intelligent conversion functions
These functions (for example, dt_parse) can handle various input types, such as Unix timestamps, datetime objects, and datetime strings. They intelligently perform the conversion.
- Dedicated functions
Intelligent conversion functions may not meet all user requirements. For example, if a log contains a non-standard custom date format, intelligent functions like dt_parse may fail to automatically parse the log data. In such cases, a dedicated function like dt_strptime must be used to parse the specified format.
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