Disclaimer: This article is a blogger original article, shall not be reproduced without the bloggers allowed. https://blog.csdn.net/a19990412/article/details/90745056
Brief
Motivation
- In general, the number of content of each portion is more readily available, but the proportion (percent) of such secondary data is data, such operation is very common
- The process of internal change information ratio compared to the sheer numbers but also reflects the overall system of migration
Contribution
- For example, there is no problem of follow -
Codes
- Importing part of the package, I do not write Kazakhstan
It is assumed that each row is the data that belongs to a different month
>>> df
a b c d e
month0 0 1 2 3 4
month1 5 6 7 8 9
month2 10 11 12 13 14
month3 15 16 17 18 19
- Percentage change
- Columns (i.e. columns projected to) summation
- Row (i.e. line projected) division
>>> df.div(df.sum(axis=1), axis=0)
a b c d e
month0 0.000000 0.100000 0.2 0.300000 0.400000
month1 0.142857 0.171429 0.2 0.228571 0.257143
month2 0.166667 0.183333 0.2 0.216667 0.233333
month3 0.176471 0.188235 0.2 0.211765 0.223529