摘要：Exists: Determines the existence of the specified data object. This function tests for the existence of various data types including feature classes, 阅读全文

摘要：ref: How to Generate Automated Word Documents with Python ref: docxtpl快速上手使用,数据填入以及循环写入表格 Creating a Template Before you can proceed, you must first c 阅读全文

摘要：ref: python-docx ref: How to Generate Automated Word Documents with Python ref: Automating Word Documents from Excel Using Python | ‘docxtpl’ Tutorial 阅读全文

摘要：In the installation of packages in Jupyter Notebook, I encountered an issue. I installed packages using Command Prompt (CMD), but when I try to import 阅读全文

摘要：Ref: Import symbology to a feature layer The implementation method is different from ArcGIS. The main difference is that tools are embedded in the top 阅读全文

摘要：Firstly, we should define a function. def IsFlood(join_count): if join_count > 0: return "Yes" else: return "No" Secondly, we should call this functio 阅读全文

摘要：Ref: Run stand-alone scripts Ref: Export a model to Python plain paste in Windows: shift+ctrl+V How do I run a stand-alone script? In other ArcGIS pro 阅读全文

摘要：1. Arcpy: (1) Table To Excel arcpy.conversion.TableToExcel( Input_Table=r"S:\TRAINING\Bingnan\Default.gdb\LI_CLR_VIC", Output_Excel_File=r"D:\OneDrive 阅读全文

摘要：参考：特征工程中的特征选择 参考：相关性分析、相关系数矩阵热力图 参考：Li's 影像组学视频学习笔记(26)-相关系数热图Heatmap 参考：Correlation Coefficients: Positive, Negative, and Zero 参考：Correlation coeffic 阅读全文

摘要：ref: Top 50 matplotlib Visualizations – The Master Plots (with full python code) 阅读全文

摘要：参考：numpy复制并扩充维度 参考：记录 之 numpy扩充某一维度，并重复填充 np.expand_dims()：扩充数组的维度，并且制定扩充的维度位置，用axis来指定 repeat()：用来复制数组内容在指定的维度上面 transpose()：用来转置数组 1.numpy.expand_di 阅读全文

摘要：参考：python中scale的用法_在netCDF4和Python中使用scale_factor和add_offset的示例？ 参考代码： import netCDF4 as nc dir_path = "./2m_temperature/03_TIFF/" files = os.listdir( 阅读全文

摘要：参考：How to convert NetCDF to GeoTIFF? 参考：利用Python(netCDF4库)读取.nc文件（NetCDF气象数据文件）的基本操作 参考：经度转换0°-360°与-180°-180°之间的相互转换 参考：https://blog.csdn.net/weixin_ 阅读全文

摘要：ref: [Pandas] 文本包含.str.contains() import pandas as pd df = pd.DataFrame([['liver','E',89,21,24,64], ['Arry','C',36,37,37,57], ['Ack','A',57,60,18,84], 阅读全文