參考:numpy中的ravel()、flatten()、squeeze()的用法与区别:

import numpy as np
ary = np.arange(12).reshape(3,4)
print(“ary:\n”,ary)
print(“ravel:\n”,ary.ravel())
print(“flatten:\n”,ary.flatten())
print(“reshape(-1):\n”,ary.reshape(-1))
print(‘ravel(“F”):\n’,ary.ravel(“F”))

推薦hahow線上學習python: https://igrape.net/30afN






![Python: 如何用 pandas.DataFrame.apply 讓DataFrame增加新的一欄 ; df[“mean”] = df.apply( np.mean, axis=1) ; DataFrame.apply(func, axis=0, raw=False, result_type=None, args=(), **kwargs) Python: 如何用 pandas.DataFrame.apply 讓DataFrame增加新的一欄 ; df[“mean”] = df.apply( np.mean, axis=1) ; DataFrame.apply(func, axis=0, raw=False, result_type=None, args=(), **kwargs)](https://i2.wp.com/savingking.com.tw/wp-content/uploads/2023/05/20230519084320_22.png?quality=90&zoom=2&ssl=1&resize=350%2C233)



近期留言