Unique values count in a dataframe
I have data like this:
Date | Location | Item
-----------------------
1 | x | a
1 | x | b
1 | x | a
2 | b | a
and I'd like to extract unique values of rows and add a column for number of occurence
I tried this command but it failed:
p=df3.groupby(['date', 'location', 'item']).count()
Result=
Date | Location | Item | Occurences
------------------------------------
1 | x | a | 2
1 | x | b | 1
2 | b | a | 1
python dataframe pandas-groupby
add a comment |
I have data like this:
Date | Location | Item
-----------------------
1 | x | a
1 | x | b
1 | x | a
2 | b | a
and I'd like to extract unique values of rows and add a column for number of occurence
I tried this command but it failed:
p=df3.groupby(['date', 'location', 'item']).count()
Result=
Date | Location | Item | Occurences
------------------------------------
1 | x | a | 2
1 | x | b | 1
2 | b | a | 1
python dataframe pandas-groupby
perhaps.size()
instead of.count()
? (also, as a suggestion, including a small executable/code example would make it easier to follow what you've tried and what you're seeing.)
– Garrett
Nov 14 '18 at 13:45
add a comment |
I have data like this:
Date | Location | Item
-----------------------
1 | x | a
1 | x | b
1 | x | a
2 | b | a
and I'd like to extract unique values of rows and add a column for number of occurence
I tried this command but it failed:
p=df3.groupby(['date', 'location', 'item']).count()
Result=
Date | Location | Item | Occurences
------------------------------------
1 | x | a | 2
1 | x | b | 1
2 | b | a | 1
python dataframe pandas-groupby
I have data like this:
Date | Location | Item
-----------------------
1 | x | a
1 | x | b
1 | x | a
2 | b | a
and I'd like to extract unique values of rows and add a column for number of occurence
I tried this command but it failed:
p=df3.groupby(['date', 'location', 'item']).count()
Result=
Date | Location | Item | Occurences
------------------------------------
1 | x | a | 2
1 | x | b | 1
2 | b | a | 1
python dataframe pandas-groupby
python dataframe pandas-groupby
edited Nov 15 '18 at 10:38
Vadim Kotov
4,73163549
4,73163549
asked Nov 14 '18 at 11:57
Dr. knowDr. know
241
241
perhaps.size()
instead of.count()
? (also, as a suggestion, including a small executable/code example would make it easier to follow what you've tried and what you're seeing.)
– Garrett
Nov 14 '18 at 13:45
add a comment |
perhaps.size()
instead of.count()
? (also, as a suggestion, including a small executable/code example would make it easier to follow what you've tried and what you're seeing.)
– Garrett
Nov 14 '18 at 13:45
perhaps
.size()
instead of .count()
? (also, as a suggestion, including a small executable/code example would make it easier to follow what you've tried and what you're seeing.)– Garrett
Nov 14 '18 at 13:45
perhaps
.size()
instead of .count()
? (also, as a suggestion, including a small executable/code example would make it easier to follow what you've tried and what you're seeing.)– Garrett
Nov 14 '18 at 13:45
add a comment |
1 Answer
1
active
oldest
votes
Use .size()
:
df.groupby(['Date', 'Location', 'Item']).size().rename('Ocurrences').to_frame().reset_index()
Date Location Item Ocurrences
0 1 x a 2
1 1 x b 1
2 2 b a 1
add a comment |
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1 Answer
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1 Answer
1
active
oldest
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oldest
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oldest
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Use .size()
:
df.groupby(['Date', 'Location', 'Item']).size().rename('Ocurrences').to_frame().reset_index()
Date Location Item Ocurrences
0 1 x a 2
1 1 x b 1
2 2 b a 1
add a comment |
Use .size()
:
df.groupby(['Date', 'Location', 'Item']).size().rename('Ocurrences').to_frame().reset_index()
Date Location Item Ocurrences
0 1 x a 2
1 1 x b 1
2 2 b a 1
add a comment |
Use .size()
:
df.groupby(['Date', 'Location', 'Item']).size().rename('Ocurrences').to_frame().reset_index()
Date Location Item Ocurrences
0 1 x a 2
1 1 x b 1
2 2 b a 1
Use .size()
:
df.groupby(['Date', 'Location', 'Item']).size().rename('Ocurrences').to_frame().reset_index()
Date Location Item Ocurrences
0 1 x a 2
1 1 x b 1
2 2 b a 1
answered Nov 14 '18 at 15:29
Franco PiccoloFranco Piccolo
1,591716
1,591716
add a comment |
add a comment |
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perhaps
.size()
instead of.count()
? (also, as a suggestion, including a small executable/code example would make it easier to follow what you've tried and what you're seeing.)– Garrett
Nov 14 '18 at 13:45