I'm confused as to the highlighted line. What exactly is this line doing. What does .div do? I tried to look through the documentation which said
"Floating division of dataframe and other, element-wise (binary operator truediv)"
I'm not exactly sure what this means. Any help would be appreciated!
In the above example, what it is essentially doing is dividing pclass_xt on axis 0, by the array/series which pclass_xt.sum(0) has generated. In pclass_xt.sum(0), .sum is summing up values along the axis=1, which gives you the total of both survived and not survived along all the pclasses. Then, .div is simply dividing the entire dataframe along 0 axis with the sum generated i.e. a row is divided by the sum of that row.
import pandas as pd,numpy as np
data={"A":np.arange(10),"B":np.random.randint(1,10,10),"C":np.random.random(10)}
#print(data)
df2=pd.DataFrame(data=data)
print("DataFrame values:\n",df2)
s1=pd.Series(np.arange(1,11))
print("s1 series values:\n",s1)
print("Result of Division:\n",df2.div(s1,axis=0))
**#So here, How the div is working as mention below:-
#df Row1/s1 Row1 -0/1 4/1 0.305/1
#df Row2/s1 Row2 -1/2 9/2 0.821/2**
#################Output###########################
DataFrame values:
A B C
0 0 2 0.265396
1 1 2 0.055646
2 2 7 0.963006
3 3 9 0.958677
4 4 6 0.256558
5 5 6 0.859066
6 6 8 0.818831
7 7 4 0.656055
8 8 6 0.885797
9 9 4 0.412497
s1 series values:
0 1
1 2
2 3
3 4
4 5
5 6
6 7
7 8
8 9
9 10
dtype: int64
Result of Division:
A B C
0 0.000000 2.000000 0.265396
1 0.500000 1.000000 0.027823
2 0.666667 2.333333 0.321002
3 0.750000 2.250000 0.239669
4 0.800000 1.200000 0.051312
5 0.833333 1.000000 0.143178
6 0.857143 1.142857 0.116976
7 0.875000 0.500000 0.082007
8 0.888889 0.666667 0.098422
9 0.900000 0.400000 0.041250