查看dataframe的数据类型，转为数值类型即可：
dataframe = dataframe.astype("float")或者逐列转换：
for _i, _value in dataframe.iteritems():
dataframe.loc[:, _i] = pd.to_numeric(_value)
import pandas as pd import numpy as np dataframe = pd.DataFrame(np.random.random(size=(10, 5)))
这时计算.corr()会得到预期的结果：
但如果转为object类型就会变为空值：
此时的dataframe.info()得到的结果为：
RangeIndex: 10 entries, 0 to 9 Data columns (total 5 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 0 10 non-null object 1 1 10 non-null object 2 2 10 non-null object 3 3 10 non-null object 4 4 10 non-null object dtypes: object(5) memory usage: 528.0+ bytes
