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clehensen committed Dec 6, 2023
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4 changes: 2 additions & 2 deletions examples/notebooks/introduction_enlyze_python_sdk.ipynb
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"id": "88bd9db6-6561-480f-bc96-ccddbe68cbcd",
"metadata": {},
"source": [
"The `get_timeseries` method returns the time series in the currently highest resolution (10 seconds). For a long period and many variables, this quickly results in a large amount of data. Due to the size of the data, there might be a noticeable delay in receiving the results, and in some cases, it may even cause a request timeout.\n",
"The `get_timeseries` method returns the time series data in the currently highest resolution (10 seconds). For a long period and many variables, this quickly results in a large amount of data. Due to the size of the data, there might be a noticeable delay in receiving the results, and in some cases, it may even cause a request timeout.\n",
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"The `get_timeseries_with_resampling` method allows for a higher control over the way in which the data is retrieved. By specifying a resampling method and a resampling interval, the amount of data can be adjusted for the use case. Resampling happens on the server-side and thus reduces the payload.\n",
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"A separate resampling method must be specified for each variable. This is necessary because not every resampling method is available for every data type. For example, categorical data types such as strings can only be aggregated with 'first', 'last' or 'count'. You can find all available resampling methods [in our documentation](https://enlyze-python.readthedocs.io/en/latest/models.html#enlyze.models.ResamplingMethod)."
"A separate resampling method must be specified for each variable. This is necessary because not every resampling method is available for every data type. For example, categorical data types such as strings can only be aggregated with `first`, `last` or `count`. You can find all available resampling methods [in our documentation](https://enlyze-python.readthedocs.io/en/latest/models.html#enlyze.models.ResamplingMethod)."
]
},
{
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