Python 将字典列表转换为numpy数组
我有一个字典列表如下:Python 将字典列表转换为numpy数组,python,pandas,list,numpy,dictionary,Python,Pandas,List,Numpy,Dictionary,我有一个字典列表如下: {'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044} {'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044} {'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}
我正在尝试将其转换为一个numpy数组,其中两列仅用于“x”和“z”值
有没有一个简单的方法可以做到这一点 像这样:
data = [{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044},
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044},
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044},
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044},
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044},
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044},
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044},
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044},
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044},
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044},
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044},
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044},
{'x': -0.002222188049927354, 'y': 0.014999999664723873, 'z': -0.45333319902420044}]
pd.DataFrame(data)[['x', 'z']].values
array([[-0.00222219, -0.4533332 ],
[-0.00222219, -0.4533332 ],
[-0.00222219, -0.4533332 ],
[-0.00222219, -0.4533332 ],
[-0.00222219, -0.4533332 ],
[-0.00222219, -0.4533332 ],
[-0.00222219, -0.4533332 ],
[-0.00222219, -0.4533332 ],
[-0.00222219, -0.4533332 ],
[-0.00222219, -0.4533332 ],
[-0.00222219, -0.4533332 ],
[-0.00222219, -0.4533332 ],
[-0.00222219, -0.4533332 ]])
thearray = pd.DataFrame(dictlist)[['x', 'z']].values
像这样:
thearray = pd.DataFrame(dictlist)[['x', 'z']].values