ufunc'add'不包含签名匹配类型为dtype（'

Question

When trying to convert the sklearn dataset into pandas dataframe by the following code I am getting this error "ufunc 'add' did not contain a loop with signature matching types dtype('

import numpy as np
from sklearn.datasets import load_breast_cancer
import numpy as np
cancer = load_breast_cancer()
data = pd.DataFrame(data= np.c_[cancer['data'], cancer['target']],columns=   cancer['feature_names'] + cancer['target'])

Answer 1

Here is how I converted the sklearn dataset to a pandas dataframe. The target column name needs to be appended.

bostonData = pd.DataFrame(data= np.c_[boston['data'], boston['target']],
                     columns= np.append(boston['feature_names'],['target']))

Answer 2

You have numpy array of strings please provide full error therefore we figure out what's missing;

For example I am assuming you got dtype('U9'), please add;

dtype=float into your array. Something like not certain;

data = pd.DataFrame(data= np.c_[cancer['data'], cancer['target']],columns=   cancer['feature_names'] + cancer['target'], dtype=float)

Answer 3

Sometimes it's just easier to keep it simple. Create a DF for both data and target, then merge using pandas.

data_df = pd.DataFrame(data=cancer['data'] ,columns=cancer['feature_names'])

target_df = pd.DataFrame(data=cancer['target'], columns=['target']).reset_index(drop=True)

target_df.rename_axis(None)

df = pd.concat([data_df, target_df], axis=1)