Hi Nicolas, thanks for your help. So, I don't know how to use python in QGIS. I know R and Matlab programming, but not about python. Please, see attached my model in QGIS. I would like to insert after each r.report box a conversion of the output file from txt to csv. Do you think it's possible?
On Tue, Jan 18, 2022 at 10:05 PM Nicolas Cadieux < [email protected]> wrote: > Hi, > > Probably but this would be a Grass request. > > Nicolas Cadieux > https://gitlab.com/njacadieux > > Le 18 janv. 2022 à 20:14, Ari Meyer <[email protected]> a écrit : > > > Just a question, given the discussion here. Shouldn't such a report be > generated in a structured format like YAML/JSON/XML for easier parsing? > Would this merit an enhancement request? > Ari > > On Tue, Jan 18, 2022 at 6:54 PM chris hermansen <[email protected]> > wrote: > >> Nicolás, Igor and list, >> >> On Tue, Jan 18, 2022, 16:40 Nicolas Cadieux <[email protected]> >> wrote: >> >>> Hi, >>> The r.report is a rather complicated text file that contains a lot of >>> characters made for improving the look of the output. On way could be to >>> python your way thought it so that is can find your way to the proper >>> information. This would save time if you have lots of files. >>> >> >> Or if you have to process the same file many times because your data is >> evolving. >> >>> >>> The faster way, if you don’t program is to use a mixture of notepad++ >>> along with excel or open office. You can easily remove all useless >>> characters like and replace them by no string or with a “,”. Then you can >>> import in open office. I like OpenOffice Calc for this because you can >>> they is to merge multiple separation characters into one. This could help >>> with the imports. For example, if you have “line 1…….data,data,data”, you >>> could use both the dot and the comma as separators and the multiple dots >>> would be merged as one unique separator. >>> >> >> Or not... If your decimal points are dots. >> >>> >>> If you have multiple files, you could use concatenation to make one big >>> .csv file. For windows, use the example could here. >>> https://superuser.com/questions/111825/a-command-line-or-batch-cmd-to-concatenate-multiple-files >>> >>> Hope this helps. This by the way is an excellent way to start learning >>> Python programming. Python has easy of way to read and write.txt file and >>> multiple way to manipulate text strings. Great project if you have the >>> time to learn. >>> >> >> I have to transform data files like this quite often. >> >> Generally whether using Python or another programming language, you want >> to use regular expressions to match and transform text patterns. The >> learning curve can be a bit steep but very worthwhile. >> >> On Unix / Linux there is a specialized language for this type of >> transform called awk. It's probably available for Windows somewhere. The >> advantage of awk is there is no programming overhead for reading and >> writing lines; the awk programs are statements reacting to the input >> received from the file. >> >>> >>> Nicolas Cadieux >>> https://gitlab.com/njacadieux >>> >>> Le 18 janv. 2022 à 19:18, Igor Oliveira Ribeiro < >>> [email protected]> a écrit : >>> >>> >>> Hi, >>> I have been using qgis version 3.10 and 3.16. I've been using the >>> r.report tool to extract some data from a raster. Currently, the report is >>> generated from r.report in *.txt format. I would like to know if it is >>> possible to convert this format to csv/xls, within QGIS? >>> >>> -- >>> >>> See our last paper: <https://doi.org/10.1016/j.envpol.2020.114029> >>> >>> Impact of biomass burning on a metropolitan area in the Amazon during >>> the 2015 El Niño: The enhancement of carbon monoxide and levoglucosan >>> concentrations. <https://doi.org/10.1016/j.envpol.2020.114029> >>> >>> Igor Oliveira Ribeiro >>> >>> Post-Doc on Regional Climate Change, Vulnerability, Impacts and >>> Adaptation - Cuomo Foundation/UEA >>> >>> +55 92 98103 7136 | skype: igorflorestal >>> >>> Universidade do Estado do Amazonas | Instituto Nacional de Pesquisas da >>> Amazônia >>> >>> Visite: www.geoescrita.com.br >>> >>> <https://www.linkedin.com/in/igoroliveiraribeiro/> >>> <https://www.instagram.com/geoescrita/> >>> <https://www.researchgate.net/profile/Igor_Oliveira_Ribeiro> >>> <http://lattes.cnpq.br/3909691804095045> >>> <https://orcid.org/0000-0002-3529-0525> <https://www.geoescrita.com.br/> >>> >>> Think globally, act locally! >>> _______________________________________________ >>> Qgis-user mailing list >>> [email protected] >>> List info: https://lists.osgeo.org/mailman/listinfo/qgis-user >>> Unsubscribe: https://lists.osgeo.org/mailman/listinfo/qgis-user >>> >>> _______________________________________________ >>> Qgis-user mailing list >>> [email protected] >>> List info: https://lists.osgeo.org/mailman/listinfo/qgis-user >>> Unsubscribe: https://lists.osgeo.org/mailman/listinfo/qgis-user >>> >> _______________________________________________ >> Qgis-user mailing list >> [email protected] >> List info: https://lists.osgeo.org/mailman/listinfo/qgis-user >> Unsubscribe: https://lists.osgeo.org/mailman/listinfo/qgis-user >> > _______________________________________________ > Qgis-user mailing list > [email protected] > List info: https://lists.osgeo.org/mailman/listinfo/qgis-user > Unsubscribe: https://lists.osgeo.org/mailman/listinfo/qgis-user > -- See our last paper: <https://doi.org/10.1016/j.envpol.2020.114029> Impact of biomass burning on a metropolitan area in the Amazon during the 2015 El Niño: The enhancement of carbon monoxide and levoglucosan concentrations. <https://doi.org/10.1016/j.envpol.2020.114029> Igor Oliveira Ribeiro Post-Doc on Regional Climate Change, Vulnerability, Impacts and Adaptation - Cuomo Foundation/UEA +55 92 98103 7136 | skype: igorflorestal Universidade do Estado do Amazonas | Instituto Nacional de Pesquisas da Amazônia Visite: www.geoescrita.com.br <https://www.linkedin.com/in/igoroliveiraribeiro/> <https://www.instagram.com/geoescrita/> <https://www.researchgate.net/profile/Igor_Oliveira_Ribeiro> <http://lattes.cnpq.br/3909691804095045> <https://orcid.org/0000-0002-3529-0525> <https://www.geoescrita.com.br/> Think globally, act locally!
model_r.report.pdf
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