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Incorrect results with df.query()

plynton
New Contributor II

I have tried pulling a single row from a .csv using df.query()

However, the data being returned doesn't coincide with the data I'm expecting - it is pulling a different row. Here is my code:

df = spark.read.option("header",True).csv(data_fldr + "config/CHRGConfig.csv")

df = df.toPandas()

hdrlist = list(df)

xstr = "VERSION == \"" + "STPP" + "\""

print(xstr)

planlist = df.query(xstr)

for zz in planlist:

 #

 # I'm looking for non-null values

 #

 if not pd.isnull(df.loc[0,zz]):

  print(zz)

3 REPLIES 3

Hubert-Dudek
Esteemed Contributor III

Can you include a few rows of your CSV (at least one shouldn't be pulled, and one should)?

plynton
New Contributor II

Hubert - I've found a workaround for this, so we can close the discussion.

Thank you!

Anonymous
Not applicable

Hi @Peter Ott​ 

Does @Hubert Dudek​  response answer your question? If yes, would you be happy to mark it as best so that other members can find the solution more quickly?

We'd love to hear from you.

Thanks!

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