本文整理汇总了Python中pycmbs.data.Data.cut_bounding_box方法的典型用法代码示例。如果您正苦于以下问题：Python Data.cut_bounding_box方法的具体用法？Python Data.cut_bounding_box怎么用？Python Data.cut_bounding_box使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pycmbs.data.Data的用法示例。
在下文中一共展示了Data.cut_bounding_box方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: Data
# 需要导入模块: from pycmbs.data import Data [as 别名]
# 或者: from pycmbs.data.Data import cut_bounding_box [as 别名]
# read some data as Data object
filename = download.get_sample_file(name="air", return_object=False)
air = Data(filename, "air", read=True)
# generate some plot BEFORE the masking
map_plot(air, title="before", use_basemap=True)
# now mask the data ...
air.get_aoi_lat_lon(r)
# generate some plot AFTER the masking
map_plot(air, title="after", use_basemap=True)
# ... o.k., so far so good, but the dataset "air" still contains data for the entire domain.
# even if it is masked it will eat some of your memory. You can see this by plotting the size of the matrix
print(air.shape)
# wouldn't it be nice to just remove everything which is not needed?
# Here you go ...
air.cut_bounding_box()
map_plot(air, title="after cutting", use_basemap=True)
# still looks the same, isn't it? No it isn't, look at the size!
print(air.shape)
# To illustrate what happens, you can plot WITHOUT using a map projection
map_plot(air, title="after cutting (no projection)")
plt.show()