一对一（ pandas ）遍历数据帧 [英] Loop through dataframe one by one (pandas)

问题描述

假设我们有一个包含A，B和C列的数据框：

Let's say we have a dataframe with columns A, B and C:

df = pd.DataFrame(columns =('A','B','C'), index=range(1))

列包含三行数值：

0     A     B      C
1    2.1   1.8    1.6
2    2.01  1.81   1.58
3    1.9   1.84   1.52

如何从1到3循环遍历每一行执行if语句，包括添加一些变量：

How does one loop through every row from 1 to 3 and then execute an if statement including add some variables:

if B1 > 1.5
    calc_temp   = A1*10
    calc_temp01 = C1*-10
if B2 > 1.5 
    calc_temp   = A2*10
    calc_temp01 = C2*-10
if B3 >1.5
    calc_temp   = A3*10
    calc_temp01 = C3*-10

以上可能吗？它必须知道某种范围，即具有某种计数器的全范围数据集编号，是吗？ if语句应指向该特定行。

Is above even possible? It has to know a range of some sorts i.e. full range dataset number with some kind of counter, yes? The if statement should refer to that specific row.

推荐答案

我认为您需要 iterrows ：

I think you need iterrows:

for i, row in df.iterrows():
    if row['B'] > 1.5:
        calc_temp   = row['A'] *10
        calc_temp01 = row['C'] *-10

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