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How to analyse data after applying pandas' groupby function?
The Next CEO of Stack Overflow2019 Community Moderator ElectionHow do I merge two data frames in Python Pandas?Pandas: how to read certain file type in pandasafter grouping to minimum value in pandas, how to display the matching row result entirely along min() valueSeries data structure in pandasPandas column count mismatch after insert into dataframeHow to access substrings in pandas column and store it into new columns?How to calculate Cumulative Sum with Groupby in Python?How to do feature analyzing : pandas groupby(). meanHow to using pandas rolling.apply with function for calculate multi columns?How to create a df that gets sum of columns based on a groupby column?
$begingroup$
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 17 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 17 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 17 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 17 mins ago
a_a_aa_a_a
87116
asked 17 mins ago
a_a_aa_a_a
87116
asked 17 mins ago
a_a_aa_a_a
87116
asked 17 mins ago
a_a_aa_a_a
87116
asked 17 mins ago
a_a_aa_a_a
87116
87116
add a comment |
add a comment |
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