使用 csv 文件而不是静态值进行初始化

Question

我对 python 很陌生...我想将读取输入参数的静态方法更改为更动态的方法，改为从 .csv 文件读取输入参数。我将它从 _old 更改为 _new 如下...但它没有成功！如果有人能帮助我就好了。

physics_old.py

class Box(object):

    def __init__(self, depth=5, width=10, height=3, density=7):

        # Dimensions
        self.depth = depth 
        self.width = width 
        self.height = height 
        self.density = density

sim_old.py

# Initialise instance, empty brackets for default see physics_old.py
Cuboid = Object(depth=6, width=12, height=2, density=7.5)

我想将这种静态方法更改为更加动态的方法，从 .csv 文件读取输入参数。我将其更改为以下...

physics_new.py

class Box(object):

    def __init__(self, box_data):

        labels = ['depth', 'width', 'height', 'density']

        # Import csv file
        data = pd.read_csv(box_data, skiprows=1, sep=';', index_col=False, names=labels)

        # Dimensions
        self.depth = data['depth'] 
        self.width = data['width']
        self.height = data['height']
        self.density = data['density']

sim_new.py

# Initialise instance, empty brackets for default see physics_new.py
Cuboid = Object(data)

Answer 1

尝试将您的代码更改为：

class Box(object):

    def __init__(self, box_data):

        labels = ['depth', 'width', 'height', 'density']

        # Import csv file
        data = pd.read_csv(box_data, skiprows=1, sep=';', index_col=False, names=labels)

        for _,row in data.iterrows():

           # Dimensions
           self.depth = row['depth'] 
           self.width = row['width']
           self.height = row['height']
           self.density = row['density']

But you will be left with last row value in self.*variables*. change your code flow

使用 csv 文件而不是静态值进行初始化

init with csv file instead of static values

python

csv

object

init

dataframe