After df['a'].astype(float)
from from_dict
cannot be sum the column.
I expected the sum(a)
should be 15 not 159 and I just want to show 15
only not whole dataframe table
code
x = [{'a': '1','b1': '2','b2': '3', 'c': '4'},{'a': '5','b1': '6','b2': '7','c': '8'},{'a': '9','b1': '10','b2': '11','c': '12'}]
import pandas as pd
df = pd.DataFrame.from_dict(x)
df['a'] = df['a'].astype(float)
df['total'] = df['a'].sum()
df
code output:
a b1 b2 c total
0 1.0 2 3 4 15.0
1 5.0 6 7 8 15.0
2 9.0 10 11 12 15.0
Data type
df['a'].astype(float)
df.dtypes
a float64
b1 object
b2 object
c object
total object
dtype: object
Expected Result
15
将a
转换为float
您应该像这样保存它:
df['a']=df['a'].astype(float)
使用 df['a']=pd.to_numeric(df['a'],errors='coerce') 来改变类型
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