%pyspark
# PersonalPip.install("spark-df-profiling")
# PersonalPip.install('pandas==0.25.1',upgrade=True)
import spark_df_profiling
import io
import tempfile
profile = spark_df_profiling.ProfileReport(df)
mem_buf = io.BytesIO()
print('%html')
with tempfile.NamedTemporaryFile() as tmp:
    profile.to_file(outputfile=tmp.name)
    tmp.seek(0)
    print(tmp.read().decode('utf8'))