So, I was able to create 3 data frames out of my original data, posted below. The other is a female data frame but it's "female" under the "sex" column and the "charges" values are different.
DF1
children charges
0 12365.975602
1 12731.171832
2 15073.563734
3 15355.318367
4 13850.656311
5 8786.035247
MALE DF (Female DF like this but with female under sex and different charge values)
children sex charges
0 male 12832.696736
1 male 13273.522458
2 male 16187.095325
3 male 16789.167419
4 male 13782.284829
5 male 7931.658310
What I was wanting to do is combine all 3 data frames into one bar graph. A bar for female, a bar for male, and a bar for both genders combined (DF1). How would I do that? Thanks!
I assume that you want to have a Barchart of the number of males, females and the sum of them. This is an example with plolty. In matplotlib it is much similar.
male = pd.DataFrame([[1,2,3], [1,2,3]])
female = pd.DataFrame([[2,2,3], [2,2,3], [1,2,1]])
both = pd.DataFrame([[1,2,3], [1,2,3]])
go.Figure(
data=[
go.Bar(
name='Male',
x=['Male', 'Female', 'Both'],
y=[male.shape[0], female.shape[0], female.shape[0]+male.shape[0]]
),
]
).show()
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