Hello,

I have took the azure datasets that are available for practice. I got the 10 days data from that dataset and now I want to save this data into DBFS in csv format. I have facing an error :

" No such file or directory: '/dbfs/tmp/myfolder/mytest.csv''"

but on the other hand if I am able to access the path directly from DBFS. This path is correct.

My code is :

from azureml.opendatasets import NoaaIsdWeather
from datetime import datetime
from dateutil import parser 
from dateutil.relativedelta import relativedelta
 
spark.sql('DROP Table if exists mytest')
dbutils.fs.rm("/dbfs/tmp/myfolder",recurse = True)
 
basepath = "/dbfs/tmp/myfolder" 
 
try:
    dbutils.fs.ls(basepath)
except:
    dbutils.fs.mkdirs(basepath)
else:
   raise Exception("The Folder "+ basepath + " already exist, this notebook will remove in the end")
 
dbutils.fs.mkdirs("/dbfs/tmp/myfolder")
 
start_date = parser.parse('2020-5-1')
end_date = parser.parse('2020-5-10')
 
isd = NoaaIsdWeather(start_date, end_date)
pdf = isd.to_spark_dataframe().toPandas().to_csv("/dbfs/tmp/myfolder/mytest.csv")
 
  
  
  
 
 

What should I do ?

Thanks