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NameError: OLD_PANDAS Spatial Data Fram from FeatureLayer

BenjaminSperry1

Hello,

I am trying to convert a FeatureLayer object into a SpatialDataFrame object but am running into a strange error:

NameError: name 'OLD_PANDAS' is not defined

Any ideas what is wrong or how I can fix this?

I have imported the requisite packages I believe;

Many thanks

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Accepted answers

JoshuaBixby

Given that the ArcGIS API for Python is still fairly new, there are some big changes that can occur between releases, so it is important to say specifically which version you are working with.

Looking at Introduction to the Spatially Enabled DataFrame | ArcGIS for Developers:

New at version 1.5, the Spatially Enabled DataFrame is an evolution of the SpatialDataFrame object that you may be familiar with. While the SDF object is still avialable for use, the team has stopped active development of it and is promoting the use of this new Spatially Enabled DataFrame pattern. The SEDF provides you better memory management, ability to handle larger datasets and is the pattern that Pandas advocates as the path forward.

I would focus your effort on learning the new data frame rather than troubleshooting the older spatial data frame.

All comments

MaazaMekuria

Hello, David:

No, I did not. I wanted to run both in the same space. That how the previous libraries were replaced with new ones that ArcGIS was not compatible with. I find what most of what GeoPandas would do is already implemented in AGOL so I will just use that for AGOL purposes.

Thank you for the input.

DavidWasserman

Did you install Geopandas in a separate environment? I have had success with Geopandas and Arcpy coexisting but I do so in separate environments. I can share a requirements file if it would help.

MaazaMekuria

Exactly the same error message yesterday when I added GeoPandas to Python using Conda over the ArcPro 2.3 version. I then upgraded to ArcPro2.4 which removed GeoPandas and now the Python Script needed to be upgraded to the latest version and the script is running. It seems to me that GeoPandas and its dependencies conflict with ArcPy and ESRI's other installed dependencies.

But we maynot need GeoPandas implementation to manipulate teh AGOL features, so fo rthe time being I will forgo that install.

JillRKelly

I downgraded to 0.23.4, but it did not solve the problem. pandas.DataFrame.spatial does not seem to have a method .from_layer, at least not according to tab-complete. (using arcgis 1.6)

TeodoraEnache

I had the exact same problem with the data frame conversion and downgrading to pandas 0.23.4 worked! Thank you.

DavidWasserman

I ran into this issue, and while you did not have the correct answer - I literally said to my self "If I search Dan Patterson I might find good forum to check this".

Bingo...

DanPatterson_Retired

for ArcGIS Pro 2.3.1 installed today, ArcGIS and pandas are listed below

(arcgispro-py3) C:\arc_pro\bin\Python\envs\arcgispro-py3>conda list
# packages in environment at C:\arc_pro\bin\Python\envs\arcgispro-py3:
#
...
arcgis                    1.5.3            py36h66efe7d_1    esri
arcgispro                 2.3                  h35c310c_0    esri
...
pandas                    0.24.1           py36ha925a31_

Anonymous User

Try downgrading to pandas version "0.23.4" (I'm not sure on the exact version where it breaks, but this worked for me). There was a change in a pandas module that the ArcGIS API for Python is not accounting for yet.

BenjaminSperry1

I am going to move this error to a different thread as it is not exactly related. Thank you again for the input.

BenjaminSperry1

Thanks again Dan!

That was immensely helpful.

DanPatterson_Retired

/blogs/dan_patterson/2016/08/14/script-formatting

and you can't go back and edit it once you have pasted... you have to edit when you are there the first time

BenjaminSperry1

Thank you very much for the response. I hadn't realized the change.

I am using the arcgis v 1.5.2

pandas v 0.24.0

I am not familiar with the spatially enabled data frame object but after following the guide I am getting the following error:

I tried it with several different feature layers including a very simple one with no dates and it always gives me the same error. Am I missing something?

Here is the full error message in case it helps:

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TypeError                                 Traceback <SPAN class="punctuation token">(</SPAN>most recent call last<SPAN class="punctuation token">)</SPAN>
<SPAN class="operator token">~</SPAN>\AppData\Local\ESRI\conda\envs\arcgispro<SPAN class="operator token">-</SPAN>py3<SPAN class="operator token">-</SPAN>clone\lib\site<SPAN class="operator token">-</SPAN>packages\arcgis\features\geo\_accessor<SPAN class="punctuation token">.</SPAN>py <SPAN class="keyword token">in</SPAN> from_layer<SPAN class="punctuation token">(</SPAN>layer<SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">1966</SPAN>             <SPAN class="keyword token">from</SPAN> arcgis<SPAN class="punctuation token">.</SPAN>features<SPAN class="punctuation token">.</SPAN>geo<SPAN class="punctuation token">.</SPAN>_io<SPAN class="punctuation token">.</SPAN>serviceops <SPAN class="keyword token">import</SPAN> from_layer
<SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">1967</SPAN>             <SPAN class="keyword token">return</SPAN> from_layer<SPAN class="punctuation token">(</SPAN>layer<SPAN class="operator token">=</SPAN>layer<SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">1968</SPAN>         <SPAN class="keyword token">except</SPAN> ImportError<SPAN class="punctuation token">:</SPAN>

<SPAN class="operator token">~</SPAN>\AppData\Local\ESRI\conda\envs\arcgispro<SPAN class="operator token">-</SPAN>py3<SPAN class="operator token">-</SPAN>clone\lib\site<SPAN class="operator token">-</SPAN>packages\arcgis\features\geo\_io\serviceops<SPAN class="punctuation token">.</SPAN>py <SPAN class="keyword token">in</SPAN> from_layer<SPAN class="punctuation token">(</SPAN>layer<SPAN class="punctuation token">,</SPAN> query<SPAN class="punctuation token">)</SPAN>
    <SPAN class="number token">122</SPAN>     <SPAN class="keyword token">else</SPAN><SPAN class="punctuation token">:</SPAN>
<SPAN class="operator token">-</SPAN><SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">123</SPAN>         <SPAN class="keyword token">return</SPAN> layer<SPAN class="punctuation token">.</SPAN>query<SPAN class="punctuation token">(</SPAN>where<SPAN class="operator token">=</SPAN>query<SPAN class="punctuation token">,</SPAN> as_df<SPAN class="operator token">=</SPAN><SPAN class="token boolean">True</SPAN><SPAN class="punctuation token">)</SPAN><SPAN class="comment token">#.sdf</SPAN>
    <SPAN class="number token">124</SPAN>     <SPAN class="keyword token">return</SPAN> res

<SPAN class="operator token">~</SPAN>\AppData\Local\ESRI\conda\envs\arcgispro<SPAN class="operator token">-</SPAN>py3<SPAN class="operator token">-</SPAN>clone\lib\site<SPAN class="operator token">-</SPAN>packages\arcgis\features\layer<SPAN class="punctuation token">.</SPAN>py <SPAN class="keyword token">in</SPAN> query<SPAN class="punctuation token">(</SPAN>self<SPAN class="punctuation token">,</SPAN> where<SPAN class="punctuation token">,</SPAN> out_fields<SPAN class="punctuation token">,</SPAN> time_filter<SPAN class="punctuation token">,</SPAN> geometry_filter<SPAN class="punctuation token">,</SPAN> return_geometry<SPAN class="punctuation token">,</SPAN> return_count_only<SPAN class="punctuation token">,</SPAN> return_ids_only<SPAN class="punctuation token">,</SPAN> return_distinct_values<SPAN class="punctuation token">,</SPAN> return_extent_only<SPAN class="punctuation token">,</SPAN> group_by_fields_for_statistics<SPAN class="punctuation token">,</SPAN> statistic_filter<SPAN class="punctuation token">,</SPAN> result_offset<SPAN class="punctuation token">,</SPAN> result_record_count<SPAN class="punctuation token">,</SPAN> object_ids<SPAN class="punctuation token">,</SPAN> distance<SPAN class="punctuation token">,</SPAN> units<SPAN class="punctuation token">,</SPAN> max_allowable_offset<SPAN class="punctuation token">,</SPAN> out_sr<SPAN class="punctuation token">,</SPAN> geometry_precision<SPAN class="punctuation token">,</SPAN> gdb_version<SPAN class="punctuation token">,</SPAN> order_by_fields<SPAN class="punctuation token">,</SPAN> out_statistics<SPAN class="punctuation token">,</SPAN> return_z<SPAN class="punctuation token">,</SPAN> return_m<SPAN class="punctuation token">,</SPAN> multipatch_option<SPAN class="punctuation token">,</SPAN> quantization_parameters<SPAN class="punctuation token">,</SPAN> return_centroid<SPAN class="punctuation token">,</SPAN> return_all_records<SPAN class="punctuation token">,</SPAN> result_type<SPAN class="punctuation token">,</SPAN> historic_moment<SPAN class="punctuation token">,</SPAN> sql_format<SPAN class="punctuation token">,</SPAN> return_true_curves<SPAN class="punctuation token">,</SPAN> return_exceeded_limit_features<SPAN class="punctuation token">,</SPAN> as_df<SPAN class="punctuation token">,</SPAN> <SPAN class="operator token">**</SPAN>kwargs<SPAN class="punctuation token">)</SPAN>
    <SPAN class="number token">709</SPAN>                 <SPAN class="keyword token">import</SPAN> pandas <SPAN class="keyword token">as</SPAN> pd
<SPAN class="operator token">-</SPAN><SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">710</SPAN>                 df <SPAN class="operator token">=</SPAN> self<SPAN class="punctuation token">.</SPAN>_query_df<SPAN class="punctuation token">(</SPAN>url<SPAN class="punctuation token">,</SPAN> params<SPAN class="punctuation token">)</SPAN>
    <SPAN class="number token">711</SPAN>                 dt_fields <SPAN class="operator token">=</SPAN> <SPAN class="punctuation token">[</SPAN>fld<SPAN class="punctuation token">[</SPAN><SPAN class="string token">'name'</SPAN><SPAN class="punctuation token">]</SPAN> <SPAN class="keyword token">for</SPAN> fld <SPAN class="keyword token">in</SPAN> self<SPAN class="punctuation token">.</SPAN>properties<SPAN class="punctuation token">.</SPAN>fields \

<SPAN class="operator token">~</SPAN>\AppData\Local\ESRI\conda\envs\arcgispro<SPAN class="operator token">-</SPAN>py3<SPAN class="operator token">-</SPAN>clone\lib\site<SPAN class="operator token">-</SPAN>packages\arcgis\features\layer<SPAN class="punctuation token">.</SPAN>py <SPAN class="keyword token">in</SPAN> _query_df<SPAN class="punctuation token">(</SPAN>self<SPAN class="punctuation token">,</SPAN> url<SPAN class="punctuation token">,</SPAN> params<SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">1452</SPAN>                     df<SPAN class="punctuation token">.</SPAN>loc<SPAN class="punctuation token">[</SPAN>q<SPAN class="punctuation token">,</SPAN> fld<SPAN class="punctuation token">[</SPAN><SPAN class="string token">'name'</SPAN><SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">]</SPAN> <SPAN class="operator token">=</SPAN> <SPAN class="number token">0</SPAN>
<SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">1453</SPAN>         df <SPAN class="operator token">=</SPAN> df<SPAN class="punctuation token">.</SPAN>astype<SPAN class="punctuation token">(</SPAN>dtypes<SPAN class="punctuation token">,</SPAN> <SPAN class="token boolean">False</SPAN><SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">1454</SPAN>         <SPAN class="keyword token">if</SPAN> <SPAN class="string token">'geometryType'</SPAN> <SPAN class="keyword token">in</SPAN> featureset_dict<SPAN class="punctuation token">:</SPAN>

<SPAN class="operator token">~</SPAN>\AppData\Local\ESRI\conda\envs\arcgispro<SPAN class="operator token">-</SPAN>py3<SPAN class="operator token">-</SPAN>clone\lib\site<SPAN class="operator token">-</SPAN>packages\pandas\core\generic<SPAN class="punctuation token">.</SPAN>py <SPAN class="keyword token">in</SPAN> astype<SPAN class="punctuation token">(</SPAN>self<SPAN class="punctuation token">,</SPAN> dtype<SPAN class="punctuation token">,</SPAN> copy<SPAN class="punctuation token">,</SPAN> errors<SPAN class="punctuation token">,</SPAN> <SPAN class="operator token">**</SPAN>kwargs<SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">5667</SPAN>                 <SPAN class="keyword token">if</SPAN> col_name <SPAN class="keyword token">in</SPAN> dtype<SPAN class="punctuation token">:</SPAN>
<SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">5668</SPAN>                     results<SPAN class="punctuation token">.</SPAN>append<SPAN class="punctuation token">(</SPAN>col<SPAN class="punctuation token">.</SPAN>astype<SPAN class="punctuation token">(</SPAN>dtype<SPAN class="punctuation token">[</SPAN>col_name<SPAN class="punctuation token">]</SPAN><SPAN class="punctuation token">,</SPAN> copy<SPAN class="operator token">=</SPAN>copy<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">5669</SPAN>                 <SPAN class="keyword token">else</SPAN><SPAN class="punctuation token">:</SPAN>

<SPAN class="operator token">~</SPAN>\AppData\Local\ESRI\conda\envs\arcgispro<SPAN class="operator token">-</SPAN>py3<SPAN class="operator token">-</SPAN>clone\lib\site<SPAN class="operator token">-</SPAN>packages\pandas\core\generic<SPAN class="punctuation token">.</SPAN>py <SPAN class="keyword token">in</SPAN> astype<SPAN class="punctuation token">(</SPAN>self<SPAN class="punctuation token">,</SPAN> dtype<SPAN class="punctuation token">,</SPAN> copy<SPAN class="punctuation token">,</SPAN> errors<SPAN class="punctuation token">,</SPAN> <SPAN class="operator token">**</SPAN>kwargs<SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">5680</SPAN>             new_data <SPAN class="operator token">=</SPAN> self<SPAN class="punctuation token">.</SPAN>_data<SPAN class="punctuation token">.</SPAN>astype<SPAN class="punctuation token">(</SPAN>dtype<SPAN class="operator token">=</SPAN>dtype<SPAN class="punctuation token">,</SPAN> copy<SPAN class="operator token">=</SPAN>copy<SPAN class="punctuation token">,</SPAN> errors<SPAN class="operator token">=</SPAN>errors<SPAN class="punctuation token">,</SPAN>
<SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">5681</SPAN>                                          <SPAN class="operator token">**</SPAN>kwargs<SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">5682</SPAN>             <SPAN class="keyword token">return</SPAN> self<SPAN class="punctuation token">.</SPAN>_constructor<SPAN class="punctuation token">(</SPAN>new_data<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">.</SPAN>__finalize__<SPAN class="punctuation token">(</SPAN>self<SPAN class="punctuation token">)</SPAN>

<SPAN class="operator token">~</SPAN>\AppData\Local\ESRI\conda\envs\arcgispro<SPAN class="operator token">-</SPAN>py3<SPAN class="operator token">-</SPAN>clone\lib\site<SPAN class="operator token">-</SPAN>packages\pandas\core\internals\managers<SPAN class="punctuation token">.</SPAN>py <SPAN class="keyword token">in</SPAN> astype<SPAN class="punctuation token">(</SPAN>self<SPAN class="punctuation token">,</SPAN> dtype<SPAN class="punctuation token">,</SPAN> <SPAN class="operator token">**</SPAN>kwargs<SPAN class="punctuation token">)</SPAN>
    <SPAN class="number token">530</SPAN>     <SPAN class="keyword token">def</SPAN> <SPAN class="token function">astype</SPAN><SPAN class="punctuation token">(</SPAN>self<SPAN class="punctuation token">,</SPAN> dtype<SPAN class="punctuation token">,</SPAN> <SPAN class="operator token">**</SPAN>kwargs<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">:</SPAN>
<SPAN class="operator token">-</SPAN><SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">531</SPAN>         <SPAN class="keyword token">return</SPAN> self<SPAN class="punctuation token">.</SPAN>apply<SPAN class="punctuation token">(</SPAN><SPAN class="string token">'astype'</SPAN><SPAN class="punctuation token">,</SPAN> dtype<SPAN class="operator token">=</SPAN>dtype<SPAN class="punctuation token">,</SPAN> <SPAN class="operator token">**</SPAN>kwargs<SPAN class="punctuation token">)</SPAN>
    <SPAN class="number token">532</SPAN> 

<SPAN class="operator token">~</SPAN>\AppData\Local\ESRI\conda\envs\arcgispro<SPAN class="operator token">-</SPAN>py3<SPAN class="operator token">-</SPAN>clone\lib\site<SPAN class="operator token">-</SPAN>packages\pandas\core\internals\managers<SPAN class="punctuation token">.</SPAN>py <SPAN class="keyword token">in</SPAN> apply<SPAN class="punctuation token">(</SPAN>self<SPAN class="punctuation token">,</SPAN> f<SPAN class="punctuation token">,</SPAN> axes<SPAN class="punctuation token">,</SPAN> filter<SPAN class="punctuation token">,</SPAN> do_integrity_check<SPAN class="punctuation token">,</SPAN> consolidate<SPAN class="punctuation token">,</SPAN> <SPAN class="operator token">**</SPAN>kwargs<SPAN class="punctuation token">)</SPAN>
    <SPAN class="number token">394</SPAN> 
<SPAN class="operator token">-</SPAN><SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">395</SPAN>             applied <SPAN class="operator token">=</SPAN> getattr<SPAN class="punctuation token">(</SPAN>b<SPAN class="punctuation token">,</SPAN> f<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">(</SPAN><SPAN class="operator token">**</SPAN>kwargs<SPAN class="punctuation token">)</SPAN>
    <SPAN class="number token">396</SPAN>             result_blocks <SPAN class="operator token">=</SPAN> _extend_blocks<SPAN class="punctuation token">(</SPAN>applied<SPAN class="punctuation token">,</SPAN> result_blocks<SPAN class="punctuation token">)</SPAN>

<SPAN class="operator token">~</SPAN>\AppData\Local\ESRI\conda\envs\arcgispro<SPAN class="operator token">-</SPAN>py3<SPAN class="operator token">-</SPAN>clone\lib\site<SPAN class="operator token">-</SPAN>packages\pandas\core\internals\blocks<SPAN class="punctuation token">.</SPAN>py <SPAN class="keyword token">in</SPAN> astype<SPAN class="punctuation token">(</SPAN>self<SPAN class="punctuation token">,</SPAN> dtype<SPAN class="punctuation token">,</SPAN> copy<SPAN class="punctuation token">,</SPAN> errors<SPAN class="punctuation token">,</SPAN> values<SPAN class="punctuation token">,</SPAN> <SPAN class="operator token">**</SPAN>kwargs<SPAN class="punctuation token">)</SPAN>
    <SPAN class="number token">533</SPAN>         <SPAN class="keyword token">return</SPAN> self<SPAN class="punctuation token">.</SPAN>_astype<SPAN class="punctuation token">(</SPAN>dtype<SPAN class="punctuation token">,</SPAN> copy<SPAN class="operator token">=</SPAN>copy<SPAN class="punctuation token">,</SPAN> errors<SPAN class="operator token">=</SPAN>errors<SPAN class="punctuation token">,</SPAN> values<SPAN class="operator token">=</SPAN>values<SPAN class="punctuation token">,</SPAN>
<SPAN class="operator token">-</SPAN><SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">534</SPAN>                             <SPAN class="operator token">**</SPAN>kwargs<SPAN class="punctuation token">)</SPAN>
    <SPAN class="number token">535</SPAN> 

<SPAN class="operator token">~</SPAN>\AppData\Local\ESRI\conda\envs\arcgispro<SPAN class="operator token">-</SPAN>py3<SPAN class="operator token">-</SPAN>clone\lib\site<SPAN class="operator token">-</SPAN>packages\pandas\core\internals\blocks<SPAN class="punctuation token">.</SPAN>py <SPAN class="keyword token">in</SPAN> _astype<SPAN class="punctuation token">(</SPAN>self<SPAN class="punctuation token">,</SPAN> dtype<SPAN class="punctuation token">,</SPAN> copy<SPAN class="punctuation token">,</SPAN> errors<SPAN class="punctuation token">,</SPAN> values<SPAN class="punctuation token">,</SPAN> <SPAN class="operator token">**</SPAN>kwargs<SPAN class="punctuation token">)</SPAN>
    <SPAN class="number token">594</SPAN>         <SPAN class="comment token"># convert dtypes if needed</SPAN>
<SPAN class="operator token">-</SPAN><SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">595</SPAN>         dtype <SPAN class="operator token">=</SPAN> pandas_dtype<SPAN class="punctuation token">(</SPAN>dtype<SPAN class="punctuation token">)</SPAN>
    <SPAN class="number token">596</SPAN>         <SPAN class="comment token"># astype processing</SPAN>

<SPAN class="operator token">~</SPAN>\AppData\Local\ESRI\conda\envs\arcgispro<SPAN class="operator token">-</SPAN>py3<SPAN class="operator token">-</SPAN>clone\lib\site<SPAN class="operator token">-</SPAN>packages\pandas\core\dtypes\common<SPAN class="punctuation token">.</SPAN>py <SPAN class="keyword token">in</SPAN> pandas_dtype<SPAN class="punctuation token">(</SPAN>dtype<SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">2028</SPAN>     <SPAN class="keyword token">elif</SPAN> npdtype<SPAN class="punctuation token">.</SPAN>kind <SPAN class="operator token">==</SPAN> <SPAN class="string token">'O'</SPAN><SPAN class="punctuation token">:</SPAN>
<SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">2029</SPAN>         <SPAN class="keyword token">raise</SPAN> TypeError<SPAN class="punctuation token">(</SPAN><SPAN class="string token">"dtype '{}' not understood"</SPAN><SPAN class="punctuation token">.</SPAN>format<SPAN class="punctuation token">(</SPAN>dtype<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">2030</SPAN> 

TypeError<SPAN class="punctuation token">:</SPAN> dtype <SPAN class="string token">'<class '</SPAN>datetime<SPAN class="punctuation token">.</SPAN>datetime<SPAN class="string token">'>'</SPAN> <SPAN class="operator token">not</SPAN> understood

During handling of the above exception<SPAN class="punctuation token">,</SPAN> another exception occurred<SPAN class="punctuation token">:</SPAN>

Exception                                 Traceback <SPAN class="punctuation token">(</SPAN>most recent call last<SPAN class="punctuation token">)</SPAN>
<SPAN class="operator token"><</SPAN>ipython<SPAN class="operator token">-</SPAN>input<SPAN class="number token">-5</SPAN><SPAN class="operator token">-</SPAN><SPAN class="number token">8e6be27d7403</SPAN><SPAN class="operator token">></SPAN> <SPAN class="keyword token">in</SPAN> <SPAN class="operator token"><</SPAN>module<SPAN class="operator token">></SPAN>
<SPAN class="operator token">-</SPAN><SPAN class="operator token">-</SPAN><SPAN class="operator token">-</SPAN><SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">1</SPAN> spd <SPAN class="operator token">=</SPAN> pd<SPAN class="punctuation token">.</SPAN>DataFrame<SPAN class="punctuation token">.</SPAN>spatial<SPAN class="punctuation token">.</SPAN>from_layer<SPAN class="punctuation token">(</SPAN>feature_layer<SPAN class="punctuation token">)</SPAN>

<SPAN class="operator token">~</SPAN>\AppData\Local\ESRI\conda\envs\arcgispro<SPAN class="operator token">-</SPAN>py3<SPAN class="operator token">-</SPAN>clone\lib\site<SPAN class="operator token">-</SPAN>packages\arcgis\features\geo\_accessor<SPAN class="punctuation token">.</SPAN>py <SPAN class="keyword token">in</SPAN> from_layer<SPAN class="punctuation token">(</SPAN>layer<SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">1971</SPAN>             <SPAN class="keyword token">raise</SPAN> Exception<SPAN class="punctuation token">(</SPAN><SPAN class="string token">"Malformed response from server, could not load the dataset: %s"</SPAN> <SPAN class="operator token">%</SPAN> str<SPAN class="punctuation token">(</SPAN>je<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">1972</SPAN>         <SPAN class="keyword token">except</SPAN> Exception <SPAN class="keyword token">as</SPAN> e<SPAN class="punctuation token">:</SPAN>
<SPAN class="operator token">-</SPAN><SPAN class="operator token">></SPAN> <SPAN class="number token">1973</SPAN>             <SPAN class="keyword token">raise</SPAN> Exception<SPAN class="punctuation token">(</SPAN><SPAN class="string token">"Could not load the dataset: %s"</SPAN> <SPAN class="operator token">%</SPAN> str<SPAN class="punctuation token">(</SPAN>e<SPAN class="punctuation token">)</SPAN><SPAN class="punctuation token">)</SPAN>
   <SPAN class="number token">1974</SPAN>     <SPAN class="comment token">#----------------------------------------------------------------------</SPAN>
   <SPAN class="number token">1975</SPAN>     @staticmethod

Exception<SPAN class="punctuation token">:</SPAN> Could <SPAN class="operator token">not</SPAN> load the dataset<SPAN class="punctuation token">:</SPAN> dtype <SPAN class="string token">'<class '</SPAN>datetime<SPAN class="punctuation token">.</SPAN>datetime<SPAN class="string token">'>'</SPAN> <SPAN class="operator token">not</SPAN> understood<SPAN class="line-numbers-rows"><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN><SPAN>‍</SPAN></SPAN>

JoshuaBixby

Given that the ArcGIS API for Python is still fairly new, there are some big changes that can occur between releases, so it is important to say specifically which version you are working with.

Looking at Introduction to the Spatially Enabled DataFrame | ArcGIS for Developers:

New at version 1.5, the Spatially Enabled DataFrame is an evolution of the SpatialDataFrame object that you may be familiar with. While the SDF object is still avialable for use, the team has stopped active development of it and is promoting the use of this new Spatially Enabled DataFrame pattern. The SEDF provides you better memory management, ability to handle larger datasets and is the pattern that Pandas advocates as the path forward.

I would focus your effort on learning the new data frame rather than troubleshooting the older spatial data frame.

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