pandas 来自 itertools.product 输出的数据框无法创建
pandas Dataframe from itertools.product output not able to be created
我想创建一个包含所有可能组合的 Dataframe：
Primary_function=['Office','Hotel','Hospital(General Medical & Surgical)','Other - Education']
City=['Miami','Houston','Phoenix','Atlanta','Las Vegas','San Francisco','Baltimore','Chicago','Boulder','Minneapolis']
Gross_Floor_Area=[50,100,200]
Years_Built=[1950,1985,2021]
Floors_above_grade=[2,6,15]
Heat=['Electricity - Grid Purchase','Natural Gas','District Steam']
WWR=[30,50,70]
Buildings=[Primary_function,City,Gross_Floor_Area,Years_Built,Floors_above_grade,Heat,WWR]
a=list((itertools.product(*Buildings)))
df=pd.DataFrame(a,columns=Buildings)
我得到的错误是：
ValueError: Length of columns passed for MultiIndex columns is different
传递包含列字符串的列表，即
columns = ["Primary Function", "City", "Gross Floor Area", "Year Built", "Floors Above Grade", "Heat", "WWR"]
df = pd.DataFrame(a, columns = columns)
正如 T 先生所建议的，如果您经常这样做，您最好使用 dict。
我想创建一个包含所有可能组合的 Dataframe：
Primary_function=['Office','Hotel','Hospital(General Medical & Surgical)','Other - Education']
City=['Miami','Houston','Phoenix','Atlanta','Las Vegas','San Francisco','Baltimore','Chicago','Boulder','Minneapolis']
Gross_Floor_Area=[50,100,200]
Years_Built=[1950,1985,2021]
Floors_above_grade=[2,6,15]
Heat=['Electricity - Grid Purchase','Natural Gas','District Steam']
WWR=[30,50,70]
Buildings=[Primary_function,City,Gross_Floor_Area,Years_Built,Floors_above_grade,Heat,WWR]
a=list((itertools.product(*Buildings)))
df=pd.DataFrame(a,columns=Buildings)
我得到的错误是：
ValueError: Length of columns passed for MultiIndex columns is different
传递包含列字符串的列表，即
columns = ["Primary Function", "City", "Gross Floor Area", "Year Built", "Floors Above Grade", "Heat", "WWR"]
df = pd.DataFrame(a, columns = columns)
正如 T 先生所建议的，如果您经常这样做，您最好使用 dict。