Python 列函数
Python columns function
我想要一个函数,它将通过数据库列的模式创建列。
这些创建的列将计算每个观察的模式百分比
首先,您必须将数据加载为 JSON/Array。
import pandas as pd
hold_data = pd.read_csv (r'C:\Users\abdulalim\Desktop\Test\Products.csv')
hold_data.to_json (r'C:\Users\abdulalim\Desktop\Test\New_Products.json')
输出:{"Product":{"0":"Desktop Computer","1":"Tablet","2":"Printer","3":"Laptop"},"Price":{"0":700,"1":250,"2":120,"3":1200}}
如果数据获取为数组:
def get_data(request):
hold_data = request.data
for key in hold_data:
print(key[0])
print(key[1])
如果数据为 Json:
def get_data(request):
hold_data = request.data
hold_data['data1']
hold_data['data2']
获得数据后,随心所欲
我想要一个函数,它将通过数据库列的模式创建列。 这些创建的列将计算每个观察的模式百分比
首先,您必须将数据加载为 JSON/Array。
import pandas as pd
hold_data = pd.read_csv (r'C:\Users\abdulalim\Desktop\Test\Products.csv')
hold_data.to_json (r'C:\Users\abdulalim\Desktop\Test\New_Products.json')
输出:{"Product":{"0":"Desktop Computer","1":"Tablet","2":"Printer","3":"Laptop"},"Price":{"0":700,"1":250,"2":120,"3":1200}}
如果数据获取为数组:
def get_data(request):
hold_data = request.data
for key in hold_data:
print(key[0])
print(key[1])
如果数据为 Json:
def get_data(request):
hold_data = request.data
hold_data['data1']
hold_data['data2']
获得数据后,随心所欲