Find the column value based on condition

Question

I need to find unique name, whose age=2 and and cond=9 using python pandas?

name	age	cond	cc
a	2	9	3
b	2	8	2
c	3	9	1
a	2	9	6

Answer 1

这将找到 age = 2 和 cond = 9 的所有不同行

df.loc[(df['age'] == 2) & (df['cond'] == 9)][['name', 'cc']].drop_duplicates()

Answer 2

The Pandas query function allows for SQL-like queries to filter a data frame. Then use unique() on the results to return the unique name.

rows = df.query('age == 2 and cond == 9')
print(rows["name"].unique())

For more query examples, see here .

Answer 3

enter code here one potential solution is to put the columns in a zip() and then iterate through you dataframe like so

for name, age, cond in zip(df['name'], df['Age'], df['cond']):
    if(age == 2 and cond ==9):
      print(name)