df = spark.read.load('abfss://[email protected]/root/data/NYCTripSmall.parquet', format='parquet') #Please don't forget to replace your storage and file system name

It doesn't work. I get the error:
`---------------------------------------------------------------------------
AnalysisException Traceback (most recent call last)
in
1 ## Spark pool
2
----> 3 df = spark.read.load('abfss://[email protected]/root/data/NYCTripSmall.parquet', format='parquet') #Please don't forget to replace your storage and file system name
4 df.printSchema()
5 display(df.limit(10))

/opt/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py in load(self, path, format, schema, **options)
156 self.options(**options)
157 if isinstance(path, str):
--> 158 return self._df(self._jreader.load(path))
159 elif path is not None:
160 if type(path) != list:

...
`