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guide/05-working-with-the-spatial-dataframe/advanced-topics.ipynb

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"metadata": {},
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"## Dataframe Index\n",
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"As mentioned in the [Introduction to the spatial dataframe guide](../introduction-to-the-spatial-dataframe.ipynb), the Pandas [dataframe structure](https://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe) underlies the ArcGIS API for Python Spatial Dataframe. Pandas dataframes are analagous to spreadsheets. They have a row axis and a column axis. Each of these axes are indexed and labeled for quick and easy identification, data alignment, and retrieval and updating of data subsets.\n",
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"As mentioned in the [Introduction to the spatial dataframe guide](../introduction-to-the-spatial-dataframe), the Pandas [dataframe structure](https://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe) underlies the ArcGIS API for Python Spatial Dataframe. Pandas dataframes are analagous to spreadsheets. They have a row axis and a column axis. Each of these axes are indexed and labeled for quick and easy identification, data alignment, and retrieval and updating of data subsets.\n",
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"\n",
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"Lets explore the axis labels and indices and how they allow for data exploraation:"
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]

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