How to analyse data after applying pandas' groupby function?
$begingroup$
I have a data set of Olympic games medal winners. I am trying to find the country with most medals. How do I go about working with the series after applying groupby function?
Here is my data frame.
ID Name Sex Age City Sport Medal
0 1 A Dijiang M 24.0 Barcelona Basketball Gold
1 2 A Lamusi M 23.0 London Judo Silver
...
I applied the following function to my data frame called qq:
zz = qq[qq.Medal =='Gold'].groupby(['NOC', 'Medal'])
zz.Medal.value_counts()
NOC Medal Medal
ALG Gold Gold 5
ANZ Gold Gold 20
ARG Gold Gold 91
ARM Gold Gold 2
After applying the function how can I analyse this zz series?
For example how can I return the country with maximum medals?
If I groupby without 'Gold' medal constraint, how can I count the sum of medals for each country?
python dataset pandas
asked 5 mins ago
a_a_aa_a_a
87116
$endgroup$
add a comment |
$begingroup$
I have a data set of Olympic games medal winners. I am trying to find the country with most medals. How do I go about working with the series after applying groupby function?
Here is my data frame.
ID Name Sex Age City Sport Medal
0 1 A Dijiang M 24.0 Barcelona Basketball Gold
1 2 A Lamusi M 23.0 London Judo Silver
...
I applied the following function to my data frame called qq:
zz = qq[qq.Medal =='Gold'].groupby(['NOC', 'Medal'])
zz.Medal.value_counts()
NOC Medal Medal
ALG Gold Gold 5
ANZ Gold Gold 20
ARG Gold Gold 91
ARM Gold Gold 2
After applying the function how can I analyse this zz series?
For example how can I return the country with maximum medals?
If I groupby without 'Gold' medal constraint, how can I count the sum of medals for each country?
python dataset pandas
asked 5 mins ago
a_a_aa_a_a
87116
$endgroup$
add a comment |
$begingroup$
I have a data set of Olympic games medal winners. I am trying to find the country with most medals. How do I go about working with the series after applying groupby function?
Here is my data frame.
ID Name Sex Age City Sport Medal
0 1 A Dijiang M 24.0 Barcelona Basketball Gold
1 2 A Lamusi M 23.0 London Judo Silver
...
I applied the following function to my data frame called qq:
zz = qq[qq.Medal =='Gold'].groupby(['NOC', 'Medal'])
zz.Medal.value_counts()
NOC Medal Medal
ALG Gold Gold 5
ANZ Gold Gold 20
ARG Gold Gold 91
ARM Gold Gold 2
After applying the function how can I analyse this zz series?
For example how can I return the country with maximum medals?
If I groupby without 'Gold' medal constraint, how can I count the sum of medals for each country?
python dataset pandas
asked 5 mins ago
a_a_aa_a_a
87116
$endgroup$
I have a data set of Olympic games medal winners. I am trying to find the country with most medals. How do I go about working with the series after applying groupby function?
Here is my data frame.
ID Name Sex Age City Sport Medal
0 1 A Dijiang M 24.0 Barcelona Basketball Gold
1 2 A Lamusi M 23.0 London Judo Silver
...
I applied the following function to my data frame called qq:
zz = qq[qq.Medal =='Gold'].groupby(['NOC', 'Medal'])
zz.Medal.value_counts()
NOC Medal Medal
ALG Gold Gold 5
ANZ Gold Gold 20
ARG Gold Gold 91
ARM Gold Gold 2
After applying the function how can I analyse this zz series?
For example how can I return the country with maximum medals?
If I groupby without 'Gold' medal constraint, how can I count the sum of medals for each country?
python dataset pandas
python dataset pandas
asked 5 mins ago
a_a_aa_a_a
87116
asked 5 mins ago
a_a_aa_a_a
87116
asked 5 mins ago
a_a_aa_a_a
87116
asked 5 mins ago
a_a_aa_a_a
87116
asked 5 mins ago
a_a_aa_a_a
87116
87116
add a comment |
add a comment |
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