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Converting complex SQL join to Pandas merge
Pandas: Join dataframe with conditionWhat is the difference between “INNER JOIN” and “OUTER JOIN”?How to merge two dictionaries in a single expression?Converting string into datetimePython join: why is it string.join(list) instead of list.join(string)?How to join (merge) data frames (inner, outer, left, right)?How do you merge two Git repositories?Merge / convert multiple PDF files into one PDFWhat's the difference between INNER JOIN, LEFT JOIN, RIGHT JOIN and FULL JOIN?Renaming columns in pandasSelect rows from a DataFrame based on values in a column in pandas
1
I have the following SQL query for finding overlaps between begin and end for a particular note_id:
select a.*, b.*
from test.analytical_cui_mipacq_concepts_new a
inner join test.analytical_cui_mipacq_concepts_new b on (
( b.begin>=a.begin and b.begin<=a.end )
or
( b.begin<=a.begin and b.end>=a.begin )
)
where ((a.system='metamap' and b.system!=a.system) or (a.system='metamap' and b.system=a.system and a.id_ != b.id_ and a.note_id = b.note_id))
that is taking forever and a day to run. I am trying to follow this thread to convert to a pandas merge:
pandas-join-dataframe-with-condition
and I so far came up with (new is my original dataframe, note_id is how I identify a particular individual, and id_ is the pk from the db table):
a = new.copy()
b = new.copy()
b.columns
b = b.rename(index=str, columns='end':'end_x', 'begin': 'begin_x', 'cui': 'cui_x',
'old_cui': 'old_cui_x', 'type': 'type_x',
'polarity': 'polarity_x', 'id_':'id_x')
c = a.merge(b, how='inner', on=['note_id'])
print(len(a), len(b), len(c))
c.loc[(((c.begin >= c.begin_x) & (c.begin <= c.end_x))
| ((c.begin<=b.begin_x) & (c.end>=c.begin_x))) &
(((c.system=='metamap') & (c.system!=c.system_x))
| ((c.system_x=='metamap') & (c.system==c.system_x)
& (c.id_ != c.id_x) & (c.note_id == c.note_id_x)))]
When I run this, I get the following error:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-2-e8c0d060f2a0> in <module>()
32 print(len(a), len(b), len(c))
33 c.loc[(((c.begin >= c.begin_x) & (c.begin <= c.end_x))
---> 34 | ((c.begin<=b.begin_x) & (c.end>=c.begin_x))) &
35 (((c.system=='metamap') & (c.system!=c.system_x))
36 | ((c.system_x=='metamap') & (c.system==c.system_x)
/anaconda3/lib/python3.7/site-packages/pandas/core/ops.py in wrapper(self, other, axis)
1674
1675 elif isinstance(other, ABCSeries) and not self._indexed_same(other):
-> 1676 raise ValueError("Can only compare identically-labeled "
1677 "Series objects")
1678
ValueError: Can only compare identically-labeled Series objects
Not exactly sure what this means, even after Googling around for it.
The data look like:
begin,polarity,end,note_id,type,system,cui,id_
31,1,37,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0004352,1
63,1,71,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0574032,2
81,1,86,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0039869,3
96,1,100,527982345,biomedicus.v2.UmlsConcept,biomedicus,C1123023,4
96,1,105,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0015230,5
101,1,105,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0015230,6
130,1,138,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0574032,7
143,1,144,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0184661,8
156,1,162,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0026591,9
176,1,185,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0004268,10
201,1,209,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0574032,11
101,-1,116,527982345,org.metamap.uima.ts.Candidate,metamap,C0445223,168094
100,-1,116,527982345,org.metamap.uima.ts.Candidate,metamap,C0445223,168095
109,-1,116,527982345,org.metamap.uima.ts.Candidate,metamap,C0445223,168096
124,1,129,527982345,org.metamap.uima.ts.Candidate,metamap,C0205435,168097
124,1,129,527982345,org.metamap.uima.ts.Candidate,metamap,C1279901,168098
130,1,138,527982345,org.metamap.uima.ts.Candidate,metamap,C0574032,168099
130,1,138,527982345,org.metamap.uima.ts.Candidate,metamap,C1827465,168100
143,1,144,527982345,org.metamap.uima.ts.Candidate,metamap,C0021966,168101
143,1,144,527982345,org.metamap.uima.ts.Candidate,metamap,C0221138,168102
31,1,37,527982345,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C0004352,55414
599,1,603,527982345,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C0206655,55415
67,1,73,4069123471-4,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C3263723,55416
646,-1,650,527982345,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C0042109,55417
31,1,37,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,,32496
56,1,71,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,C0993666,32497
92,1,105,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,,32498
96,1,100,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,,32499
120,1,129,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,C2008415,32500
python pandas join merge
asked Mar 8 at 2:37
horcle_buzzhorcle_buzz
6991023
|
show 1 more comment
1
I have the following SQL query for finding overlaps between begin and end for a particular note_id:
select a.*, b.*
from test.analytical_cui_mipacq_concepts_new a
inner join test.analytical_cui_mipacq_concepts_new b on (
( b.begin>=a.begin and b.begin<=a.end )
or
( b.begin<=a.begin and b.end>=a.begin )
)
where ((a.system='metamap' and b.system!=a.system) or (a.system='metamap' and b.system=a.system and a.id_ != b.id_ and a.note_id = b.note_id))
that is taking forever and a day to run. I am trying to follow this thread to convert to a pandas merge:
pandas-join-dataframe-with-condition
and I so far came up with (new is my original dataframe, note_id is how I identify a particular individual, and id_ is the pk from the db table):
a = new.copy()
b = new.copy()
b.columns
b = b.rename(index=str, columns='end':'end_x', 'begin': 'begin_x', 'cui': 'cui_x',
'old_cui': 'old_cui_x', 'type': 'type_x',
'polarity': 'polarity_x', 'id_':'id_x')
c = a.merge(b, how='inner', on=['note_id'])
print(len(a), len(b), len(c))
c.loc[(((c.begin >= c.begin_x) & (c.begin <= c.end_x))
| ((c.begin<=b.begin_x) & (c.end>=c.begin_x))) &
(((c.system=='metamap') & (c.system!=c.system_x))
| ((c.system_x=='metamap') & (c.system==c.system_x)
& (c.id_ != c.id_x) & (c.note_id == c.note_id_x)))]
When I run this, I get the following error:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-2-e8c0d060f2a0> in <module>()
32 print(len(a), len(b), len(c))
33 c.loc[(((c.begin >= c.begin_x) & (c.begin <= c.end_x))
---> 34 | ((c.begin<=b.begin_x) & (c.end>=c.begin_x))) &
35 (((c.system=='metamap') & (c.system!=c.system_x))
36 | ((c.system_x=='metamap') & (c.system==c.system_x)
/anaconda3/lib/python3.7/site-packages/pandas/core/ops.py in wrapper(self, other, axis)
1674
1675 elif isinstance(other, ABCSeries) and not self._indexed_same(other):
-> 1676 raise ValueError("Can only compare identically-labeled "
1677 "Series objects")
1678
ValueError: Can only compare identically-labeled Series objects
Not exactly sure what this means, even after Googling around for it.
The data look like:
begin,polarity,end,note_id,type,system,cui,id_
31,1,37,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0004352,1
63,1,71,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0574032,2
81,1,86,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0039869,3
96,1,100,527982345,biomedicus.v2.UmlsConcept,biomedicus,C1123023,4
96,1,105,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0015230,5
101,1,105,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0015230,6
130,1,138,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0574032,7
143,1,144,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0184661,8
156,1,162,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0026591,9
176,1,185,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0004268,10
201,1,209,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0574032,11
101,-1,116,527982345,org.metamap.uima.ts.Candidate,metamap,C0445223,168094
100,-1,116,527982345,org.metamap.uima.ts.Candidate,metamap,C0445223,168095
109,-1,116,527982345,org.metamap.uima.ts.Candidate,metamap,C0445223,168096
124,1,129,527982345,org.metamap.uima.ts.Candidate,metamap,C0205435,168097
124,1,129,527982345,org.metamap.uima.ts.Candidate,metamap,C1279901,168098
130,1,138,527982345,org.metamap.uima.ts.Candidate,metamap,C0574032,168099
130,1,138,527982345,org.metamap.uima.ts.Candidate,metamap,C1827465,168100
143,1,144,527982345,org.metamap.uima.ts.Candidate,metamap,C0021966,168101
143,1,144,527982345,org.metamap.uima.ts.Candidate,metamap,C0221138,168102
31,1,37,527982345,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C0004352,55414
599,1,603,527982345,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C0206655,55415
67,1,73,4069123471-4,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C3263723,55416
646,-1,650,527982345,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C0042109,55417
31,1,37,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,,32496
56,1,71,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,C0993666,32497
92,1,105,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,,32498
96,1,100,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,,32499
120,1,129,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,C2008415,32500
python pandas join merge
asked Mar 8 at 2:37
horcle_buzzhorcle_buzz
6991023
That means the Seriesaandbhave different indexes, and pandas does not define Series comparison in this case. The same error occurs with the testa = pd.Series([1, 2], index=[0, 1]); b = pd.Series([1, 2], index=[0, 2]); a == b. Could you post a few lines of example data?
– Peter Leimbigler
Mar 8 at 2:48
Done. I'm basically trying to find overlaps in mybeginandendcolumns across a singlenote_idinstance..
– horcle_buzz
Mar 8 at 3:11
2
can you post the data not as an image but as actual text so that we can paste it into our IDE's? thanks!
– aws_apprentice
Mar 8 at 3:17
Done. Pasting from excel makes it an image, for some stupid reason.
– horcle_buzz
Mar 8 at 3:25
1
you should probably sample your data given what you provided does not match some of the conditions you specify, such assystem == 'metamap'
– aws_apprentice
Mar 8 at 3:27
|
show 1 more comment
1
1
1
I have the following SQL query for finding overlaps between begin and end for a particular note_id:
select a.*, b.*
from test.analytical_cui_mipacq_concepts_new a
inner join test.analytical_cui_mipacq_concepts_new b on (
( b.begin>=a.begin and b.begin<=a.end )
or
( b.begin<=a.begin and b.end>=a.begin )
)
where ((a.system='metamap' and b.system!=a.system) or (a.system='metamap' and b.system=a.system and a.id_ != b.id_ and a.note_id = b.note_id))
that is taking forever and a day to run. I am trying to follow this thread to convert to a pandas merge:
pandas-join-dataframe-with-condition
and I so far came up with (new is my original dataframe, note_id is how I identify a particular individual, and id_ is the pk from the db table):
a = new.copy()
b = new.copy()
b.columns
b = b.rename(index=str, columns='end':'end_x', 'begin': 'begin_x', 'cui': 'cui_x',
'old_cui': 'old_cui_x', 'type': 'type_x',
'polarity': 'polarity_x', 'id_':'id_x')
c = a.merge(b, how='inner', on=['note_id'])
print(len(a), len(b), len(c))
c.loc[(((c.begin >= c.begin_x) & (c.begin <= c.end_x))
| ((c.begin<=b.begin_x) & (c.end>=c.begin_x))) &
(((c.system=='metamap') & (c.system!=c.system_x))
| ((c.system_x=='metamap') & (c.system==c.system_x)
& (c.id_ != c.id_x) & (c.note_id == c.note_id_x)))]
When I run this, I get the following error:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-2-e8c0d060f2a0> in <module>()
32 print(len(a), len(b), len(c))
33 c.loc[(((c.begin >= c.begin_x) & (c.begin <= c.end_x))
---> 34 | ((c.begin<=b.begin_x) & (c.end>=c.begin_x))) &
35 (((c.system=='metamap') & (c.system!=c.system_x))
36 | ((c.system_x=='metamap') & (c.system==c.system_x)
/anaconda3/lib/python3.7/site-packages/pandas/core/ops.py in wrapper(self, other, axis)
1674
1675 elif isinstance(other, ABCSeries) and not self._indexed_same(other):
-> 1676 raise ValueError("Can only compare identically-labeled "
1677 "Series objects")
1678
ValueError: Can only compare identically-labeled Series objects
Not exactly sure what this means, even after Googling around for it.
The data look like:
begin,polarity,end,note_id,type,system,cui,id_
31,1,37,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0004352,1
63,1,71,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0574032,2
81,1,86,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0039869,3
96,1,100,527982345,biomedicus.v2.UmlsConcept,biomedicus,C1123023,4
96,1,105,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0015230,5
101,1,105,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0015230,6
130,1,138,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0574032,7
143,1,144,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0184661,8
156,1,162,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0026591,9
176,1,185,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0004268,10
201,1,209,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0574032,11
101,-1,116,527982345,org.metamap.uima.ts.Candidate,metamap,C0445223,168094
100,-1,116,527982345,org.metamap.uima.ts.Candidate,metamap,C0445223,168095
109,-1,116,527982345,org.metamap.uima.ts.Candidate,metamap,C0445223,168096
124,1,129,527982345,org.metamap.uima.ts.Candidate,metamap,C0205435,168097
124,1,129,527982345,org.metamap.uima.ts.Candidate,metamap,C1279901,168098
130,1,138,527982345,org.metamap.uima.ts.Candidate,metamap,C0574032,168099
130,1,138,527982345,org.metamap.uima.ts.Candidate,metamap,C1827465,168100
143,1,144,527982345,org.metamap.uima.ts.Candidate,metamap,C0021966,168101
143,1,144,527982345,org.metamap.uima.ts.Candidate,metamap,C0221138,168102
31,1,37,527982345,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C0004352,55414
599,1,603,527982345,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C0206655,55415
67,1,73,4069123471-4,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C3263723,55416
646,-1,650,527982345,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C0042109,55417
31,1,37,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,,32496
56,1,71,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,C0993666,32497
92,1,105,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,,32498
96,1,100,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,,32499
120,1,129,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,C2008415,32500
python pandas join merge
asked Mar 8 at 2:37
horcle_buzzhorcle_buzz
6991023
I have the following SQL query for finding overlaps between begin and end for a particular note_id:
select a.*, b.*
from test.analytical_cui_mipacq_concepts_new a
inner join test.analytical_cui_mipacq_concepts_new b on (
( b.begin>=a.begin and b.begin<=a.end )
or
( b.begin<=a.begin and b.end>=a.begin )
)
where ((a.system='metamap' and b.system!=a.system) or (a.system='metamap' and b.system=a.system and a.id_ != b.id_ and a.note_id = b.note_id))
that is taking forever and a day to run. I am trying to follow this thread to convert to a pandas merge:
pandas-join-dataframe-with-condition
and I so far came up with (new is my original dataframe, note_id is how I identify a particular individual, and id_ is the pk from the db table):
a = new.copy()
b = new.copy()
b.columns
b = b.rename(index=str, columns='end':'end_x', 'begin': 'begin_x', 'cui': 'cui_x',
'old_cui': 'old_cui_x', 'type': 'type_x',
'polarity': 'polarity_x', 'id_':'id_x')
c = a.merge(b, how='inner', on=['note_id'])
print(len(a), len(b), len(c))
c.loc[(((c.begin >= c.begin_x) & (c.begin <= c.end_x))
| ((c.begin<=b.begin_x) & (c.end>=c.begin_x))) &
(((c.system=='metamap') & (c.system!=c.system_x))
| ((c.system_x=='metamap') & (c.system==c.system_x)
& (c.id_ != c.id_x) & (c.note_id == c.note_id_x)))]
When I run this, I get the following error:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-2-e8c0d060f2a0> in <module>()
32 print(len(a), len(b), len(c))
33 c.loc[(((c.begin >= c.begin_x) & (c.begin <= c.end_x))
---> 34 | ((c.begin<=b.begin_x) & (c.end>=c.begin_x))) &
35 (((c.system=='metamap') & (c.system!=c.system_x))
36 | ((c.system_x=='metamap') & (c.system==c.system_x)
/anaconda3/lib/python3.7/site-packages/pandas/core/ops.py in wrapper(self, other, axis)
1674
1675 elif isinstance(other, ABCSeries) and not self._indexed_same(other):
-> 1676 raise ValueError("Can only compare identically-labeled "
1677 "Series objects")
1678
ValueError: Can only compare identically-labeled Series objects
Not exactly sure what this means, even after Googling around for it.
The data look like:
begin,polarity,end,note_id,type,system,cui,id_
31,1,37,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0004352,1
63,1,71,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0574032,2
81,1,86,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0039869,3
96,1,100,527982345,biomedicus.v2.UmlsConcept,biomedicus,C1123023,4
96,1,105,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0015230,5
101,1,105,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0015230,6
130,1,138,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0574032,7
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156,1,162,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0026591,9
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201,1,209,527982345,biomedicus.v2.UmlsConcept,biomedicus,C0574032,11
101,-1,116,527982345,org.metamap.uima.ts.Candidate,metamap,C0445223,168094
100,-1,116,527982345,org.metamap.uima.ts.Candidate,metamap,C0445223,168095
109,-1,116,527982345,org.metamap.uima.ts.Candidate,metamap,C0445223,168096
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130,1,138,527982345,org.metamap.uima.ts.Candidate,metamap,C0574032,168099
130,1,138,527982345,org.metamap.uima.ts.Candidate,metamap,C1827465,168100
143,1,144,527982345,org.metamap.uima.ts.Candidate,metamap,C0021966,168101
143,1,144,527982345,org.metamap.uima.ts.Candidate,metamap,C0221138,168102
31,1,37,527982345,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C0004352,55414
599,1,603,527982345,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C0206655,55415
67,1,73,4069123471-4,org.apache.ctakes.typesystem.type.textsem.DiseaseDisorderMention,ctakes,C3263723,55416
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31,1,37,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,,32496
56,1,71,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,C0993666,32497
92,1,105,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,,32498
96,1,100,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,,32499
120,1,129,527982345,edu.uth.clamp.nlp.typesystem.ClampNameEntityUIMA,clamp,C2008415,32500
python pandas join merge
python pandas join merge
asked Mar 8 at 2:37
horcle_buzzhorcle_buzz
6991023
asked Mar 8 at 2:37
horcle_buzzhorcle_buzz
6991023
edited Mar 8 at 3:43
horcle_buzz
asked Mar 8 at 2:37
horcle_buzzhorcle_buzz
6991023
asked Mar 8 at 2:37
horcle_buzzhorcle_buzz
6991023
asked Mar 8 at 2:37
horcle_buzzhorcle_buzz
6991023
6991023
That means the Seriesaandbhave different indexes, and pandas does not define Series comparison in this case. The same error occurs with the testa = pd.Series([1, 2], index=[0, 1]); b = pd.Series([1, 2], index=[0, 2]); a == b. Could you post a few lines of example data?
– Peter Leimbigler
Mar 8 at 2:48
Done. I'm basically trying to find overlaps in mybeginandendcolumns across a singlenote_idinstance..
– horcle_buzz
Mar 8 at 3:11
2
can you post the data not as an image but as actual text so that we can paste it into our IDE's? thanks!
– aws_apprentice
Mar 8 at 3:17
Done. Pasting from excel makes it an image, for some stupid reason.
– horcle_buzz
Mar 8 at 3:25
1
you should probably sample your data given what you provided does not match some of the conditions you specify, such assystem == 'metamap'
– aws_apprentice
Mar 8 at 3:27
|
show 1 more comment
That means the Seriesaandbhave different indexes, and pandas does not define Series comparison in this case. The same error occurs with the testa = pd.Series([1, 2], index=[0, 1]); b = pd.Series([1, 2], index=[0, 2]); a == b. Could you post a few lines of example data?
– Peter Leimbigler
Mar 8 at 2:48
Done. I'm basically trying to find overlaps in mybeginandendcolumns across a singlenote_idinstance..
– horcle_buzz
Mar 8 at 3:11
2
can you post the data not as an image but as actual text so that we can paste it into our IDE's? thanks!
– aws_apprentice
Mar 8 at 3:17
Done. Pasting from excel makes it an image, for some stupid reason.
– horcle_buzz
Mar 8 at 3:25
1
you should probably sample your data given what you provided does not match some of the conditions you specify, such assystem == 'metamap'
– aws_apprentice
Mar 8 at 3:27
That means the Series
a and b have different indexes, and pandas does not define Series comparison in this case. The same error occurs with the test a = pd.Series([1, 2], index=[0, 1]); b = pd.Series([1, 2], index=[0, 2]); a == b. Could you post a few lines of example data?– Peter Leimbigler
Mar 8 at 2:48
That means the Series
a and b have different indexes, and pandas does not define Series comparison in this case. The same error occurs with the test a = pd.Series([1, 2], index=[0, 1]); b = pd.Series([1, 2], index=[0, 2]); a == b. Could you post a few lines of example data?– Peter Leimbigler
Mar 8 at 2:48
Done. I'm basically trying to find overlaps in my
begin and end columns across a single note_id instance..– horcle_buzz
Mar 8 at 3:11
Done. I'm basically trying to find overlaps in my
begin and end columns across a single note_id instance..– horcle_buzz
Mar 8 at 3:11
2
2
can you post the data not as an image but as actual text so that we can paste it into our IDE's? thanks!
– aws_apprentice
Mar 8 at 3:17
can you post the data not as an image but as actual text so that we can paste it into our IDE's? thanks!
– aws_apprentice
Mar 8 at 3:17
Done. Pasting from excel makes it an image, for some stupid reason.
– horcle_buzz
Mar 8 at 3:25
Done. Pasting from excel makes it an image, for some stupid reason.
– horcle_buzz
Mar 8 at 3:25
1
1
you should probably sample your data given what you provided does not match some of the conditions you specify, such as
system == 'metamap'– aws_apprentice
Mar 8 at 3:27
you should probably sample your data given what you provided does not match some of the conditions you specify, such as
system == 'metamap'– aws_apprentice
Mar 8 at 3:27
|
show 1 more comment
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CSPnonrcQRFe9yJBQF Vh
That means the Series
aandbhave different indexes, and pandas does not define Series comparison in this case. The same error occurs with the testa = pd.Series([1, 2], index=[0, 1]); b = pd.Series([1, 2], index=[0, 2]); a == b. Could you post a few lines of example data?– Peter Leimbigler
Mar 8 at 2:48
Done. I'm basically trying to find overlaps in my
beginandendcolumns across a singlenote_idinstance..– horcle_buzz
Mar 8 at 3:11
2
can you post the data not as an image but as actual text so that we can paste it into our IDE's? thanks!
– aws_apprentice
Mar 8 at 3:17
Done. Pasting from excel makes it an image, for some stupid reason.
– horcle_buzz
Mar 8 at 3:25
1
you should probably sample your data given what you provided does not match some of the conditions you specify, such as
system == 'metamap'– aws_apprentice
Mar 8 at 3:27