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Posted to issues@spark.apache.org by "Andreas Saltveit (Jira)" <ji...@apache.org> on 2022/07/11 02:33:00 UTC
[jira] [Created] (SPARK-39732) pyspark.pandas.DataFrame.drop drops dataframe if axis not specified
Andreas Saltveit created SPARK-39732:
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Summary: pyspark.pandas.DataFrame.drop drops dataframe if axis not specified
Key: SPARK-39732
URL: https://issues.apache.org/jira/browse/SPARK-39732
Project: Spark
Issue Type: Bug
Components: Pandas API on Spark
Affects Versions: 3.3.0
Reporter: Andreas Saltveit
import pyspark.pandas as pd
data = [\{"Category": 'A', "ID": 1, "Value": 121.44, "Truth": True},
\{"Category": 'B', "ID": 2, "Value": 300.01, "Truth": False},
\{"Category": 'C', "ID": 3, "Value": 10.99, "Truth": None},
\{"Category": 'E', "ID": 4, "Value": 33.87, "Truth": True}
]
df = pd.DataFrame(data)
df.display()
# drops dataframe "Query returned no results"
df1=df.drop(["ID","Category"])
df1.display()
# works
df2=df.drop(["ID","Category"], 1)
df2.display()
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