pandas Dataframe操作

import pandas as pd
df = pd.read_excel('b.xlsx', 'Acceptance')
df[df['Config 3'].notna()]

裡面的df['Config 3'].notna()是filter的方式，結果是列出所有Config13欄位不是na的 rows

Pandas的Series是縱向的，例如某個Column的值的列表

pandas兩個主要的data structure
DataFrame和Series
DataFrame就是Series的容器
Series就是純量的容器

Indexing / Selection

The basics of indexing are as follows:

Operation	Syntax	Result
Select column	df[col]	Series
Select row by label	df.loc[label]	Series
Select row by integer location	df.iloc[loc]	Series
Slice rows	df[5:10]	DataFrame
Select rows by boolean vector	df[bool_vec]	DataFrame

如果要一個row一個row去做動作

https://stackoverflow.com/questions/16476924/how-to-iterate-over-rows-in-a-dataframe-in-pandas

df.iterrows()