How can I manage units in pandas data?

生来就可爱ヽ(ⅴ<●) 提交于 2021-02-06 07:01:31

问题


I'm trying to figure out if there is a good way to manage units in my pandas data. For example, I have a DataFrame that looks like this:

   length (m)  width (m)  thickness (cm)
0         1.2        3.4             5.6
1         7.8        9.0             1.2
2         3.4        5.6             7.8

Currently, the measurement units are encoded in column names. Downsides include:

  1. column selection is awkward -- df['width (m)'] vs. df['width']
  2. things will likely break if the units of my source data change

If I wanted to strip the units out of the column names, is there somewhere else that the information could be stored?


回答1:


There isn't any great way to do this right now, see github issue here for some discussion.

As a quick hack, could do something like this, maintaining a separate dict with the units.

In [3]: units = {}

In [5]: newcols = []
   ...: for col in df:
   ...:     name, unit = col.split(' ')
   ...:     units[name] = unit
   ...:     newcols.append(name)

In [6]: df.columns = newcols

In [7]: df
Out[7]:
   length  width  thickness
0     1.2    3.4        5.6
1     7.8    9.0        1.2
2     3.4    5.6        7.8

In [8]: units['length']
Out[8]: '(m)'



回答2:


As I was searching for this, too. Here is what pint and the (experimental) pint_pandas is capable of today:

import pandas as pd
import pint
import pint_pandas

ureg = pint.UnitRegistry()
ureg.Unit.default_format = "~P"
pint_pandas.PintType.ureg.default_format = "~P"

df = pd.DataFrame({
    "length": pd.Series([1.2, 7.8, 3.4], dtype="pint[m]"),
    "width": pd.Series([3.4, 9.0, 5.6], dtype="pint[m]"),
    "thickness": pd.Series([5.6, 1.2, 7.8], dtype="pint[cm]"),
})

print(df.pint.dequantify())
     length width thickness
unit      m     m        cm
0       1.2   3.4       5.6
1       7.8   9.0       1.2
2       3.4   5.6       7.8
df['width'] = df['width'].pint.to("inch")

print(df.pint.dequantify())
     length       width thickness
unit      m          in        cm
0       1.2  133.858268       5.6
1       7.8  354.330709       1.2
2       3.4  220.472441       7.8


来源:https://stackoverflow.com/questions/39419178/how-can-i-manage-units-in-pandas-data

易学教程内所有资源均来自网络或用户发布的内容,如有违反法律规定的内容欢迎反馈
该文章没有解决你所遇到的问题?点击提问,说说你的问题,让更多的人一起探讨吧!