<div style="line-height:1.7;color:#000000;font-size:14px;font-family:Arial"><div><span style="font-size: 18px;">Hello everyone,</span></div><div><span style="font-size: 18px;">When
I run the script in the attachment to convert the monthly value to
yearly value, there will always be an error, as shown below</span></div><div><img 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" alt="" /></div><div><br /></div><div><span id="result_box" class="short_text" tabindex="-1" lang="en"><span>The data used in the script can be downloaded at https://crudata.uea.ac.uk/cru/data/temperature/HadCRUT.4.6.0.0.median.nc<br /></span></span></div><div><br /></div><div>Thank everyone very much!</div><div>Best regards!</div><div>Zhang Panfeng<br /></div><div><br /></div></div><br>