Conditions on mutli-index + data
I have the following Dataframe that I am grouping to get a multi-index Dataframe:
In[33]: df = pd.DataFrame([[0, 'foo', 5], [0, 'foo', 7], [1, 'foo', 4], [1, 'bar', 5], [1, 'foo', 6], [1, 'bar', 2], [2, 'bar', 3]], columns=['id', 'foobar', 'A'])
In[34]: df
Out[34]:
id foobar A
0 0 foo 5
1 0 foo 7
2 1 foo 4
3 1 bar 5
4 1 foo 6
5 1 bar 2
6 2 bar 3
In[35]: df.groupby(['id', 'foobar']).size()
Out[35]:
id foobar
0 foo 2
1 bar 2
foo 2
2 bar 1
dtype: int64
I want to get lines in "id" where number of "foo" >= 2 AND number of "bar" >= 2 so basically get :
foobar A
id
1 bar 2
foo 2
But I'm a bit lost about how I should state this conditions with a multi-index ?
edit : this is not a redundant with How to filter dates on multiindex dataframe since I don't work with dates and I need conditions on the number of particular values in my Dataframe.
python pandas
asked Nov 22 '18 at 16:00
BongodamBongodam
174
add a comment |
I have the following Dataframe that I am grouping to get a multi-index Dataframe:
In[33]: df = pd.DataFrame([[0, 'foo', 5], [0, 'foo', 7], [1, 'foo', 4], [1, 'bar', 5], [1, 'foo', 6], [1, 'bar', 2], [2, 'bar', 3]], columns=['id', 'foobar', 'A'])
In[34]: df
Out[34]:
id foobar A
0 0 foo 5
1 0 foo 7
2 1 foo 4
3 1 bar 5
4 1 foo 6
5 1 bar 2
6 2 bar 3
In[35]: df.groupby(['id', 'foobar']).size()
Out[35]:
id foobar
0 foo 2
1 bar 2
foo 2
2 bar 1
dtype: int64
I want to get lines in "id" where number of "foo" >= 2 AND number of "bar" >= 2 so basically get :
foobar A
id
1 bar 2
foo 2
But I'm a bit lost about how I should state this conditions with a multi-index ?
edit : this is not a redundant with How to filter dates on multiindex dataframe since I don't work with dates and I need conditions on the number of particular values in my Dataframe.
python pandas
asked Nov 22 '18 at 16:00
BongodamBongodam
174
Possible duplicate of How to filter dates on multiindex dataframe
– sophros
Nov 22 '18 at 16:45
add a comment |
I have the following Dataframe that I am grouping to get a multi-index Dataframe:
In[33]: df = pd.DataFrame([[0, 'foo', 5], [0, 'foo', 7], [1, 'foo', 4], [1, 'bar', 5], [1, 'foo', 6], [1, 'bar', 2], [2, 'bar', 3]], columns=['id', 'foobar', 'A'])
In[34]: df
Out[34]:
id foobar A
0 0 foo 5
1 0 foo 7
2 1 foo 4
3 1 bar 5
4 1 foo 6
5 1 bar 2
6 2 bar 3
In[35]: df.groupby(['id', 'foobar']).size()
Out[35]:
id foobar
0 foo 2
1 bar 2
foo 2
2 bar 1
dtype: int64
I want to get lines in "id" where number of "foo" >= 2 AND number of "bar" >= 2 so basically get :
foobar A
id
1 bar 2
foo 2
But I'm a bit lost about how I should state this conditions with a multi-index ?
edit : this is not a redundant with How to filter dates on multiindex dataframe since I don't work with dates and I need conditions on the number of particular values in my Dataframe.
python pandas
asked Nov 22 '18 at 16:00
BongodamBongodam
174
I have the following Dataframe that I am grouping to get a multi-index Dataframe:
In[33]: df = pd.DataFrame([[0, 'foo', 5], [0, 'foo', 7], [1, 'foo', 4], [1, 'bar', 5], [1, 'foo', 6], [1, 'bar', 2], [2, 'bar', 3]], columns=['id', 'foobar', 'A'])
In[34]: df
Out[34]:
id foobar A
0 0 foo 5
1 0 foo 7
2 1 foo 4
3 1 bar 5
4 1 foo 6
5 1 bar 2
6 2 bar 3
In[35]: df.groupby(['id', 'foobar']).size()
Out[35]:
id foobar
0 foo 2
1 bar 2
foo 2
2 bar 1
dtype: int64
I want to get lines in "id" where number of "foo" >= 2 AND number of "bar" >= 2 so basically get :
foobar A
id
1 bar 2
foo 2
But I'm a bit lost about how I should state this conditions with a multi-index ?
edit : this is not a redundant with How to filter dates on multiindex dataframe since I don't work with dates and I need conditions on the number of particular values in my Dataframe.
python pandas
python pandas
asked Nov 22 '18 at 16:00
BongodamBongodam
174
asked Nov 22 '18 at 16:00
BongodamBongodam
174
edited Nov 23 '18 at 10:38
Bongodam
asked Nov 22 '18 at 16:00
BongodamBongodam
174
asked Nov 22 '18 at 16:00
BongodamBongodam
174
asked Nov 22 '18 at 16:00
BongodamBongodam
174
174
Possible duplicate of How to filter dates on multiindex dataframe
– sophros
Nov 22 '18 at 16:45
add a comment |
Possible duplicate of How to filter dates on multiindex dataframe
– sophros
Nov 22 '18 at 16:45
Possible duplicate of How to filter dates on multiindex dataframe
– sophros
Nov 22 '18 at 16:45
Possible duplicate of How to filter dates on multiindex dataframe
– sophros
Nov 22 '18 at 16:45
add a comment |
1 Answer
1
active
oldest
votes
Using all after unstack , then select the one you need , stack back
new=df.groupby(['id', 'foobar']).size().unstack(fill_value=0)
new[new.ge(2).all(1)].stack()
id foobar
1 bar 2
foo 2
dtype: int64
answered Nov 22 '18 at 16:07
W-BW-B
106k83165
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Using all after unstack , then select the one you need , stack back
new=df.groupby(['id', 'foobar']).size().unstack(fill_value=0)
new[new.ge(2).all(1)].stack()
id foobar
1 bar 2
foo 2
dtype: int64
answered Nov 22 '18 at 16:07
W-BW-B
106k83165
add a comment |
Using all after unstack , then select the one you need , stack back
new=df.groupby(['id', 'foobar']).size().unstack(fill_value=0)
new[new.ge(2).all(1)].stack()
id foobar
1 bar 2
foo 2
dtype: int64
answered Nov 22 '18 at 16:07
W-BW-B
106k83165
add a comment |
Using all after unstack , then select the one you need , stack back
new=df.groupby(['id', 'foobar']).size().unstack(fill_value=0)
new[new.ge(2).all(1)].stack()
id foobar
1 bar 2
foo 2
dtype: int64
answered Nov 22 '18 at 16:07
W-BW-B
106k83165
Using all after unstack , then select the one you need , stack back
new=df.groupby(['id', 'foobar']).size().unstack(fill_value=0)
new[new.ge(2).all(1)].stack()
id foobar
1 bar 2
foo 2
dtype: int64
answered Nov 22 '18 at 16:07
W-BW-B
106k83165
answered Nov 22 '18 at 16:07
W-BW-B
106k83165
answered Nov 22 '18 at 16:07
W-BW-B
106k83165
answered Nov 22 '18 at 16:07
W-BW-B
106k83165
106k83165
add a comment |
add a comment |
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Possible duplicate of How to filter dates on multiindex dataframe
– sophros
Nov 22 '18 at 16:45