Python mutiply pandas 包含科学值和浮点值的数据框

Question

import pandas as pd 

df=pd.DataFrame({‘years’:[‘Y0’,‘Y1’,’Y2’,’Y3’],‘price1’:[0.01, 0.0029,0.00368,0.00439536],
‘price2’:[0.02, 0.001, 9.161781253394068e-04,0.001718]})

df.iloc[1:,1:] = df.iloc[1:,1:].mul(0.75)

由于 df 中的科学价值而出现错误，如果有人有任何建议或帮助解决此问题，请告诉我？

错误：

TypeError: Could not operate 0.75 with block values can’t multiply sequence by non-int of type ‘float’

Answer 1

你可以试试下面的方法吗？

df=pd.DataFrame({"years":["Y0","Y1","Y2","Y3"],
                 "price1":[0.01, 0.0029,0.00368,0.00439536], 
                 "price2":[0.02, 0.001, float("9.161781253394068e-04"),0.001718]})

df.iloc[1:,1:] = df.iloc[1:,1:].mul(0.75)

Answer 2

我猜你遇到这个问题是因为类型问题。您可以尝试将列转换为 float 类型 -

import pandas as pd

df=pd.DataFrame({'years':['Y0','Y1','Y2','Y3'],'price1':[0.01, 0.0029,0.00368,0.00439536], 'price2':[0.02, 0.001, 9.161781253394068e-04,0.001718]})

# converting dtype
df['price1'] = pd.to_numeric(df['price1'], errors='coerce')
df['price2'] = pd.to_numeric(df['price2'], errors='coerce')
df.iloc[1:,1:] = df.iloc[1:,1:].mul(0.75)

Python mutiply pandas 包含科学值和浮点值的数据框

Python mutiply pandas dataframe containing scientific and float values with a float

python

scientific-notation

dataframe