groupby对象不能直接打印输出,可以调用list函数显示分组,还可以对这个对象进行各种计算。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 print(list(gg)) 【例2】采用函数df.groupby([col1,col2]),返回一个按多列进行分组的groupby对象。 关键技术:对于由DataFrame产生的GroupBy对象,如果用一个(单个字符串)...
price in products: # A if price not in unique_price_list: #B unique_price_list.append(price) return len(unique_price_list) products = [ (143121312, 100), (432314553, 30), (32421912367, 150), (937153201, 30) ] print('number of unique price is: {}'.format(find_unique_price...
lake_color='aqua') map.drawcoastlines() plt.show()由于basemap无所不能的绘图能力，你还可以画...
import numpy as np df1 = pd.DataFrame(np.arange(9.).reshape(3,3),columns=list('bcd'),index=['Ohio','Texas','Coloradp']) df2 = pd.DataFrame(np.arange(9.).reshape(3,3),columns=list('bcd'),index=['Ohio','Texas','Oregon']) print(df1) print(df2) df1 + df2 # 另外一个表格...
size = sys.maxsize# creates the max lengthlist=range(size)# returns the length of a listprint("The maximum length of a list:",len(list))print("List is created successfully")#输出:# maximum size limit on a 64-bit platformThe maximum length of alist:9223372036854775807Listiscreated successf...
size = sys.maxsize# creates the max lengthlist=range(size)# returns the length of a listprint("The maximum length of a list:",len(list))print("List is created successfully")#输出:# maximum size limit on a 64-bit platformThe maximum length of alist:9223372036854775807Listiscreated successf...
stride (int|tuple): The stride size. It means the stride in convolution. If stride is a tuple, it must contain three integers, (stride_depth, stride_height, stride_width). Otherwise, stride_depth = stride_height = stride_width = stride. Default: stride = 1. padding (string|int|list|...
import matplotlib.pyplot as pltimport pandas as pdimport numpy as np# 创建数据df = pd.DataFrame({'group': list(map(chr, range(65, 85))), 'values': np.random.uniform(size=20) })# 排序取值ordered_df = df.sort_values(by='values')my_range = range(1, len(df.index)+1)# 创建图表...
print("%-30s %s" % ("name", "disk size")) print("===") for virtual_machine in virtual_machines: vm_service = vms_service.vm_service(virtual_machine.id) disk_attachments = vm_service.disk_attachments_service().list() disk_size = 0 for disk_attachment in disk_attachments: disk = c...
files_list = self.client.list_objects(bucket_name=bucket_name, prefix=prefix, recursive=True)forobjinfiles_list:print(obj.bucket_name, obj.object_name.encode('utf-8'), obj.last_modified, obj.etag, obj.size, obj.content_type)exceptS3Errorase:print("[error]:", e)defbucket_policy(self,...