Hafez Ahmad

icon indicating a website link https://hafez-ahmad.github.io/HafezAhmadOceanographer.github.io icon indicating an email [email protected]

icon company https://www.researchgate.net/profile/Hafez_Ahmad icon location Chittagong,Bangladesh icon location I am Researcher.I love to use Python,R ,MATLAB, Julia and ArcGIS for data analysis, data visualization, Machine learning and Ocean/ climate modeling.

Results 5 comments of Hafez Ahmad

Converting Lidar .las / .laz to .tif

@RitaAguiar Arcgis pro and Arcgis 10 already have such functionality and there is a python package [laspy] for that. And geemap can read lidar file [geemap.read_lidar]. Thank you Hafez

DOC: from examples to tutorials

Hey everyone ! is there any way to change or reorder month names [ 'DJF' 'JJA' 'MAM' 'SON'] during seasonal grouping? I like to change 'DJF' 'JJA' 'MAM' 'SON' combination...

Multidimensional `interpolate_na()`

![image](https://user-images.githubusercontent.com/20365917/167338332-573c127f-65eb-4b3d-bf70-d2a7be97755a.png) I am not getting proper plot. It is okay with Arcgis 10.5 , when I am trying xarray, plot looks many missing data or gridded points. Data source: https://giovanni.gsfc.nasa.gov/session/B4259246-EB9D-11EA-A3A4-16015F835E51/D2BACBDC-CE49-11EC-9A98-0352ECEEFA7B/D2BAE400-CE49-11EC-9A98-0352ECEEFA7B///scrubbed.MODISA_L3m_ZLEE_2018_Zeu_lee.20140101.nc...

AttributeError("module 'geopandas' has no attribute 'vectorized'",)

AttributeError: module 'geopandas' has no attribute 'GesoSeries'

wip: recipes for regression models. should close #290

I am getting error plot!(model) ERROR: Cannot convert StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}} to series data for plotting Stacktrace: [1] error(::String) at .\error.jl:33 [2] _prepare_series_data(::StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}) at C:\Users\hafez\.julia\packages\RecipesPipeline\5RD7m\src\series.jl:8 [3] _series_data_vector(::StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}, ::Dict{Symbol,Any}) at C:\Users\hafez\.julia\packages\RecipesPipeline\5RD7m\src\series.jl:27 [4] macro...