How to install gdal in python

GDAL (Geospatial Data Abstraction Library) is an open source raster spatial data conversion library under the X/MIT license. It utilizes an abstract data model to express the various file formats supported. It also has a range of command line tools for data conversion and processing.

Method 1: Download the whl file corresponding to the python version at the URL https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal. In the command line pip install whl file full path installation (windows mode). (Recommended learning: Python video tutorial)

Method 2:

Command line conda/pip search gdal View version , select the appropriate version (mine is 2.2.4), if not, use method one.

Command line conda/pip install gdal=version number, be careful to add the version number, otherwise an old version may be installed (available for windows/linux).

The gdal package is used to process raster data, and ogr is used to process vector data.
The following program is a simple application of gdal for raster processing.

from osgeo import gdal
import numpy as np
np.set_printoptions(threshold=np.inf)#使print大量数据不用符号...代替而显示所有
dataset = gdal.Open("E:/RS_data/caijian1214/caijian.tif")
print(dataset.GetDescription())#数据描述
print(dataset.RasterCount)#波段数
cols=dataset.RasterXSize#图像长度
rows=(dataset.RasterYSize)#图像宽度
xoffset=cols/2
yoffset=rows/2
band = dataset.GetRasterBand(3)#取第三波段
r=band.ReadAsArray(xoffset,yoffset,1000,1000)#从数据的中心位置位置开始，取1000行1000列数据
band = dataset.GetRasterBand(2)
g=band.ReadAsArray(xoffset,yoffset,1000,1000)
band = dataset.GetRasterBand(1)
b=band.ReadAsArray(xoffset,yoffset,1000,1000)
import cv2
import matplotlib.pyplot as plt
img2=cv2.merge([r,g,b])
plt.imshow(img2)
plt.xticks([]),plt.yticks([]) # 不显示坐标轴
plt.show()

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