Find everything you need to get certified on Fabric—skills challenges, live sessions, exam prep, role guidance, and more.
Get startedGrow your Fabric skills and prepare for the DP-600 certification exam by completing the latest Microsoft Fabric challenge.
Hi Experts,
Is there an option that I do all the data cleaning in Power query and then import that table into R or Python ?? Please let me know
Regards
Afzal khan
I checked - everything works.
For example, you can input file from Python, apply Power query and then pass it back to Python.
I'm not sure about any usefulness of such workflow, but it works.
let Source = Python.Execute("import pandas as pd#(lf)df1 = pd.read_parquet(r'C:\Users\MyPC\Dropbox\Documents\DataScience\Pandas\pandas\chicago.parquet')"), df2 = Source{[Name="df1"]}[Value], #"Changed Type" = Table.TransformColumnTypes(df2,{{"Employee Annual Salary", type text}}), #"Replaced Value" = Table.ReplaceValue(#"Changed Type","$","",Replacer.ReplaceText,{"Employee Annual Salary"}), #"Filtered Rows" = Table.SelectRows(#"Replaced Value", each [Employee Annual Salary] <> null and [Employee Annual Salary] <> ""), #"Run Python script" = Python.Execute("# 'dataset' holds the input data for this script#(lf)dataset.to_parquet(r'C:\Users\MyPC\Dropbox\Documents\DataScience\Pandas\pandas\pbd.parquet')#(lf)",[dataset=#"Filtered Rows"]) in #"Run Python script"
Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.
Ask questions in Eventhouse and KQL, Eventstream, and Reflex.
User | Count |
---|---|
88 | |
82 | |
65 | |
64 | |
58 |
User | Count |
---|---|
171 | |
115 | |
109 | |
74 | |
69 |