import numpy as np
import pandas as pd
df = pd.DataFrame(data=[{"A":"1", "B":"3"}, {"A":"3", "B":"2"}, {"A":"2", "B":"1"}])
df = pd.DataFrame(data=[{"A":1, "B":3}, {"A":3, "B":2}, {"A":2, "B":1}])
A | B | |
---|---|---|
0 | 1 | 3 |
1 | 3 | 2 |
2 | 2 | 1 |
df['A'] = df['A'].astype("float")
df['B'] = df['B'].astype("float")
都要转成float
# mean()平均值 median()中位数 max()最大值 min()最小值 sum()求和 std()标准差
print(df.mean()) # 每一列平均值 (Series类型)
A 2.0
B 2.0
dtype: float64