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`TypeError` on conditional about sspipe HOT 3 CLOSED

sspipe avatar sspipe commented on May 31, 2024
`TypeError` on conditional

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Comments (3)

mohammad7t avatar mohammad7t commented on May 31, 2024 1

Using px in ... if ...px... else ... is not supported. This error is because of the order python evaluates ifelse expressionss. The px.empty is evaluated before data | px[px.SOME_COLUMN == 40] is passed to it.

Alternatively, you can use p:

data | px[px.SOME_COLUMN == 40] | p(lambda x: x if not x.empty else exit()) | px.ANOTHER_COLUMN.astype(str).values[0] | p(print)

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GitHunter0 avatar GitHunter0 commented on May 31, 2024
data | px[px.SOME_COLUMN == 40] | p(lambda x: x if not x.empty else exit()) | px.ANOTHER_COLUMN.astype(str).values[0] | p(print)

@mhsekhavat , exit() shuts down the Jupyter kernel in VScode, I believe it would be better to use None in this concise syntax, what do you think?

import pandas as pd
df = pd.DataFrame({'col1': [1,2], 'col2': [3,4]})
print(df)

# Conventional syntax
dfc = df[df.col1==2]
if not dfc.empty:
    print(dfc.col2.astype("str").values[0])

# sspipe syntax
from sspipe import p, px
( df | px[px.col1==2] 
     | p( lambda x: print(x.col2.astype("str").values[0])
                    if not x.empty 
                    else None ) )

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mohammad7t avatar mohammad7t commented on May 31, 2024

@GitHunter0 you're right. Returning None makes more sense.

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