"Python Geospatial Analysis Guide, Second Edition" Study Notes-5.8 Using Spreadsheets

Excel needs no introduction, it's used almost every day, it's ubiquitous, it's easy to use, and they store structured data conveniently. Spreadsheets are very popular as a GIS format for collecting data.

I believe that you will encounter it in work or study, and convert the data in the spreadsheet into a Shapefile file. Next, we will demonstrate converting a spreadsheet to a Shapefile. The spreadsheet contains an x-field attribute column representing longitude and a y-field attribute column representing latitude . As shown in the following table:

import it into a Shapefile, the following steps will be performed:

(1) Open the spreadsheet;
(2) Create a shapefile writer object;
(3) Get the first row of the spreadsheet as the header of the dbf file;
(4) Loop through each row of the spreadsheet and copy the attributes to the dbf file;
(5) Create a point based on the values ​​in the x and y fields in the spreadsheet.

import xlrd
import shapefile

# > （1）打开电子表格；
xls = xlrd.open_workbook(r"data/NYC_MUSEUMS_GEO.xlsx")
sheet = xls.sheet_by_index(0)



# > （2）创建一个shapefile文件写者对象；

with shapefile.Writer(r"data/NYC_MUSEUMS_GEO_toShp", shapefile.POINT) as w:

    # column是列，row是行
    # > （3）获取电子表格的第一行作为dbf文件的表头；
    for i in range(sheet.ncols):
        # print(sheet.cell(0,i))
        # cell(行号，列号)
        w.field(str(sheet.cell(0, i)), "C", 40)



    # > （4）循环遍历电子表格每一行，将属性拷贝到dbf文件中；
    for i in range(1,sheet.nrows):
        values = []
        for j in range(sheet.ncols):
            values.append(sheet.cell(i,j).value)
        w.record(*values)
        # > （5）从最后两列获取经纬度信息，并创建点。
        w.point(float(values[-2]),float(values[-1]))

The result is shown in the figure:

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Summarize

Note: The latest xlrd does not support the reading of Excel xlsx files.
Method: Uninstall the latest xlrd library and install the historical version of the xlrd library. pip install xlrd == version number

pip install xlrd==1.2.0

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