Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Unanswered
Hey All, I Am Reporting A


Hey, @<1523701070390366208:profile|CostlyOstrich36>
They both should have the same values and I like to see where they not match.
So even basic stuff like df1==df2 , for example:

>> import pandas as pd
>> df = pd.DataFrame({'a': ['axy a', 'xyz b'], 'b': ['obj e', 'oaw r']})
>> df2 = pd.DataFrame({'a': ['ax2 a', 'xyz b'], 'b': ['obj e', 'oaw r']})

print(df == df2)
       a     b
0  False  True
1   True  True
  
  
Posted 11 months ago
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0 Answers
11 months ago
11 months ago