A simpler way to switch axis in Python pandas?
I am doing an exercise from DataQuest and I have a database from a Star Wars survey.
Source can be found here:
https://github.com/fivethirtyeight/data/tree/master/star-wars-survey
Columns ranking_1 to ranking_6 contains the rankings of the first 6 Star Wars movies. I want to show the rankings on a bar plot by gender.
ranking_gender_avg = star_wars.groupby(['Gender']) [star_wars.columns[9:15]].mean()
print(ranking_gender_avg)
ranking_gender_avg.plot.bar()
I want to switch the x-axis to show rankings and the bars to show gender so I have this:
ranking_gender_avg = star_wars.groupby(['Gender'])[star_wars.columns[9:15]].mean()
print(ranking_gender_avg)
ranking_gender_avg.T.plot.bar() #All I did was use T for transpose.
Question: How would I create the second graph without using transpose? Is there a simpler way? I am new to python and it just happened that I stumbled upon the transpose method. I am interested to see if there is a way to group by rankings then split into genders.
python pandas bar-chart
asked Nov 22 '18 at 14:33
JulianJulian
336
add a comment |
I am doing an exercise from DataQuest and I have a database from a Star Wars survey.
Source can be found here:
https://github.com/fivethirtyeight/data/tree/master/star-wars-survey
Columns ranking_1 to ranking_6 contains the rankings of the first 6 Star Wars movies. I want to show the rankings on a bar plot by gender.
ranking_gender_avg = star_wars.groupby(['Gender']) [star_wars.columns[9:15]].mean()
print(ranking_gender_avg)
ranking_gender_avg.plot.bar()
I want to switch the x-axis to show rankings and the bars to show gender so I have this:
ranking_gender_avg = star_wars.groupby(['Gender'])[star_wars.columns[9:15]].mean()
print(ranking_gender_avg)
ranking_gender_avg.T.plot.bar() #All I did was use T for transpose.
Question: How would I create the second graph without using transpose? Is there a simpler way? I am new to python and it just happened that I stumbled upon the transpose method. I am interested to see if there is a way to group by rankings then split into genders.
python pandas bar-chart
asked Nov 22 '18 at 14:33
JulianJulian
336
add a comment |
I am doing an exercise from DataQuest and I have a database from a Star Wars survey.
Source can be found here:
https://github.com/fivethirtyeight/data/tree/master/star-wars-survey
Columns ranking_1 to ranking_6 contains the rankings of the first 6 Star Wars movies. I want to show the rankings on a bar plot by gender.
ranking_gender_avg = star_wars.groupby(['Gender']) [star_wars.columns[9:15]].mean()
print(ranking_gender_avg)
ranking_gender_avg.plot.bar()
I want to switch the x-axis to show rankings and the bars to show gender so I have this:
ranking_gender_avg = star_wars.groupby(['Gender'])[star_wars.columns[9:15]].mean()
print(ranking_gender_avg)
ranking_gender_avg.T.plot.bar() #All I did was use T for transpose.
Question: How would I create the second graph without using transpose? Is there a simpler way? I am new to python and it just happened that I stumbled upon the transpose method. I am interested to see if there is a way to group by rankings then split into genders.
python pandas bar-chart
asked Nov 22 '18 at 14:33
JulianJulian
336
I am doing an exercise from DataQuest and I have a database from a Star Wars survey.
Source can be found here:
https://github.com/fivethirtyeight/data/tree/master/star-wars-survey
Columns ranking_1 to ranking_6 contains the rankings of the first 6 Star Wars movies. I want to show the rankings on a bar plot by gender.
ranking_gender_avg = star_wars.groupby(['Gender']) [star_wars.columns[9:15]].mean()
print(ranking_gender_avg)
ranking_gender_avg.plot.bar()
I want to switch the x-axis to show rankings and the bars to show gender so I have this:
ranking_gender_avg = star_wars.groupby(['Gender'])[star_wars.columns[9:15]].mean()
print(ranking_gender_avg)
ranking_gender_avg.T.plot.bar() #All I did was use T for transpose.
Question: How would I create the second graph without using transpose? Is there a simpler way? I am new to python and it just happened that I stumbled upon the transpose method. I am interested to see if there is a way to group by rankings then split into genders.
python pandas bar-chart
python pandas bar-chart
asked Nov 22 '18 at 14:33
JulianJulian
336
asked Nov 22 '18 at 14:33
JulianJulian
336
asked Nov 22 '18 at 14:33
JulianJulian
336
asked Nov 22 '18 at 14:33
JulianJulian
336
asked Nov 22 '18 at 14:33
JulianJulian
336
336
add a comment |
add a comment |
1 Answer
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You may change the groupby argument like that:
ranking_gender_avg = star_wars.groupby(['Ranking', 'Gender']).mean()
answered Nov 22 '18 at 14:52
leoburgyleoburgy
1107
add a comment |
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1 Answer
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1 Answer
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You may change the groupby argument like that:
ranking_gender_avg = star_wars.groupby(['Ranking', 'Gender']).mean()
answered Nov 22 '18 at 14:52
leoburgyleoburgy
1107
add a comment |
You may change the groupby argument like that:
ranking_gender_avg = star_wars.groupby(['Ranking', 'Gender']).mean()
answered Nov 22 '18 at 14:52
leoburgyleoburgy
1107
add a comment |
You may change the groupby argument like that:
ranking_gender_avg = star_wars.groupby(['Ranking', 'Gender']).mean()
answered Nov 22 '18 at 14:52
leoburgyleoburgy
1107
You may change the groupby argument like that:
ranking_gender_avg = star_wars.groupby(['Ranking', 'Gender']).mean()
answered Nov 22 '18 at 14:52
leoburgyleoburgy
1107
answered Nov 22 '18 at 14:52
leoburgyleoburgy
1107
answered Nov 22 '18 at 14:52
leoburgyleoburgy
1107
answered Nov 22 '18 at 14:52
leoburgyleoburgy
1107
1107
add a comment |
add a comment |
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