This is best Fabric, Power BI, SQL and AI community event. How do we know? The last event sold out! Save €200 with code FABCMTY200.
Register nowThe Fabric community is upgrading! Read all of the details including the timeline and what you can expect. Learn more
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 us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
| User | Count |
|---|---|
| 24 | |
| 22 | |
| 20 | |
| 18 | |
| 14 |
| User | Count |
|---|---|
| 27 | |
| 22 | |
| 21 | |
| 20 | |
| 20 |