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Скачать или смотреть Understanding the geom_almost_equals Method in GeoPandas: Why It Might Give Unexpected Results

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  • 2025-10-09
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Understanding the geom_almost_equals Method in GeoPandas: Why It Might Give Unexpected Results
Geopandas geom_almost_equals method gives wrong outputgeospatialgeopandas
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Описание к видео Understanding the geom_almost_equals Method in GeoPandas: Why It Might Give Unexpected Results

Learn how to troubleshoot the `geom_almost_equals` method in GeoPandas when it doesn't return expected results. Understand its functionality and get insights into geometric comparisons in geospatial analysis.
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This video is based on the question https://stackoverflow.com/q/64715829/ asked by the user 'Loyalist1' ( https://stackoverflow.com/u/2637505/ ) and on the answer https://stackoverflow.com/a/64717153/ provided by the user 'martinfleis' ( https://stackoverflow.com/u/9978945/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Geopandas geom_almost_equals method gives wrong output

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Understanding the geom_almost_equals Method in GeoPandas

In the realm of geospatial analysis using Python, libraries like GeoPandas offer great tools for working with geospatial data efficiently. One such method is geom_almost_equals, which is designed to compare geometries from geodata frames. However, users often find themselves puzzled when the method does not yield the expected results.

In this post, we will explore a specific case where geom_almost_equals seems to provide incorrect outputs after comparing two multilinestring geometries.

The Issue at Hand

Consider two geodata frames:

GeoFrame 1 has three multilinestring geometries.

GeoFrame 2 initially has the same three geometries, but one is removed for the test.

Upon using the geom_almost_equals method to compare these two frames, the expectation is to find two geometries that are equal, but only one is returned. This discrepancy raises an important question:

Why is only one geometry being returned as "almost equal"? Is there something wrong with the internal processing of this method?

Exploring the Solution

To understand what's happening, we need to dig deeper into how geom_almost_equals works.

1. Row-Wise Comparison

The method operates on a row-wise basis. This means it aligns the geometries of the two GeoSeries and checks if they are "almost equal" on a row-by-row basis.

In our example:

The comparison occurs between corresponding rows of geoframe1 and geoframe2.

First row: True (both geometries are identical).

Second row: False (the geometries differ since one was removed).

Third row: the method checks a geometry against None from geoframe2, yielding False.

2. Result Analysis

The result array from this comparison looks like this:

[True, False, False]

Since only the first geometry matched, the method outputs only that one row.

3. Understanding the Output

Therefore, when running the comparison:

[[See Video to Reveal this Text or Code Snippet]]

The returned geometries reflect the row-wise truth values:

The match found was based on the first row only.

Conclusion

The geom_almost_equals method in GeoPandas can sometimes produce results that catch users off guard. By understanding that it works on a row-by-row comparison basis, we can interpret the results correctly and manage our expectations.

If you face similar issues in your geospatial projects, remember to perform a thorough check on how geometries align across your datasets. This method is handy, but only if you know how it evaluates the geometries involved.

Now that you have a clearer insight into the workings of geom_almost_equals, you can use it more effectively in your geospatial analyses!



Happy coding, and may your GeoPandas journey be fruitful!

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