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guide/04-feature-data-and-analysis/appending-features.ipynb

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"Instead, you will add a new attribute field to the existing hosted feature service layer, and then use the `append()` parameter `field_mappings` to indicate how fields align between the source item and target feature service layer. In addition to the `feild_mappings` parameter to indicate which fields align, you'll also use the `append_fields` parameter to further restrict the operation to indicate which field you want to update."
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{
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"cell_type": "code",
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"execution_count": 37,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'C:\\\\\\\\Data\\\\My_Projects\\\\Python_API\\\\append_review\\\\guide'"
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},
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"execution_count": 37,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"cwd = os.path.join(r\"C:\\\\Data\\My_Projects\", \"Python_API\", \"append_review\")\n",
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"wd = os.path.join(cwd,\"guide\")\n",
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"os.chdir(wd)\n",
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"wd"
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]
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},
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"cell_type": "code",
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"execution_count": 40,
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"You'll now use the `append` to combine adding new features and correcting attribute value errors. This combination of adding new features (`insert`), and changing existing feature values (`update`) is known as an `upsert`. The `append` method includes the `field_mappings`, `upsert`,`skip_updates`, `skip_inserts`, `append_fields`, and `upsert_matching_field` parameters to provide you control over how the append occurs. "
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"cell_type": "code",
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"execution_count": 65,
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"metadata": {},
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"outputs": [],
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"source": [
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"cwd = os.path.join(r\"C:\\\\Data\\My_Projects\", \"Python_API\", \"append_review\", \"guide\")\n",
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"wd = cwd\n",
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"os.chdir(wd)\n",
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"guide_dir = wd"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 66,

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