ERROR 4: Unable to open EPSG support file gcs.csv.

问题描述

在用arcpy处理数据时候，用到了gdal库，然后出现错误：

ERROR 4: Unable to open EPSG support file gcs.csv. 
Try setting the GDAL_DATA environment variable to point to the directory containing EPSG csv files. 
Unable to open EPSG support file gcs.csv. 
Try setting the GDAL_DATA environment variable to point to the directory containing EPSG csv files.

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解决过程

参考了一篇解决帖子：

ERROR 4: Unable to open EPSG support file gcs.csv.-优快云博客https://blog.youkuaiyun.com/weixin_45728126/article/details/131790691?ops_request_misc=%257B%2522request%255Fid%2522%253A%25226C5D05B8-1597-4B90-B0DD-FE4915CB2133%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=6C5D05B8-1597-4B90-B0DD-FE4915CB2133&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduend~default-1-131790691-null-null.142%5Ev100%5Epc_search_result_base8&utm_term=ERROR%204%3A%20Unable%20to%20open%20EPSG%20support%20file%20gcs.csv.&spm=1018.2226.3001.4187

可以知道解决方法，就是需要添加GDAL_DATA为环境变量。但是另一个关键问题在于，这里的gdal库不是官方库，是arcgis pro构建的，在库列表里能看到，在site-packages里找不到。于是又找到了一篇帖子，以及关于此问题的回答。

库列表：

参考贴：

ERROR 4: Unable to open EPSG support file gcs.csv 问题快速解决方案-优快云博客https://blog.youkuaiyun.com/csdn_xuebing/article/details/88421708?ops_request_misc=%257B%2522request%255Fid%2522%253A%25226C5D05B8-1597-4B90-B0DD-FE4915CB2133%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=6C5D05B8-1597-4B90-B0DD-FE4915CB2133&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduend~default-2-88421708-null-null.142%5Ev100%5Epc_search_result_base8&utm_term=ERROR%204%3A%20Unable%20to%20open%20EPSG%20support%20file%20gcs.csv.&spm=1018.2226.3001.4187

关于问题的回答：python - unable to load "gcs.csv" file in gdal - Stack Overflowhttps://stackoverflow.com/questions/26034782/unable-to-load-gcs-csv-file-in-gdal

 于是，参考回答运行了如下代码： 

import os
import stat
gdal_data = os.environ['GDAL_DATA']
print('is dir: ' + str(os.path.isdir(gdal_data)))
gcs_csv = os.path.join(gdal_data, 'gcs.csv')
print('is file: ' + str(os.path.isfile(gcs_csv)))
st = os.stat(gcs_csv)
print('is readable: ' + str(bool(st.st_mode & stat.S_IRGRP)))

得到结果：

 就是参考贴所说的，全是True。也就是说是有GDAL_DATA，但不知道在哪。于是加了一步打印了gdal_data：

import os
import stat
gdal_data = os.environ['GDAL_DATA']
print(gdal_data)
print('is dir: ' + str(os.path.isdir(gdal_data)))
gcs_csv = os.path.join(gdal_data, 'gcs.csv')
print('is file: ' + str(os.path.isfile(gcs_csv)))
st = os.stat(gcs_csv)
print('is readable: ' + str(bool(st.st_mode & stat.S_IRGRP)))

输出结果：

终于，找到了GDAL_DATA，不在创建的python环境里，在argis pro里面:

 

后续就是按照第一篇参考帖子，添加环境变量：

最后，需要重启Pycharm，再运行代码，才不会报错，不然还会报错。