This commit is contained in:
guanjihuan 2024-01-28 04:21:34 +08:00
parent 9de98e961b
commit eb40eb4238
3 changed files with 28 additions and 2 deletions

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@ -1,7 +1,7 @@
[metadata] [metadata]
# replace with your username: # replace with your username:
name = guan name = guan
version = 0.1.80 version = 0.1.81
author = guanjihuan author = guanjihuan
author_email = guanjihuan@163.com author_email = guanjihuan@163.com
description = An open source python package description = An open source python package

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@ -1,6 +1,6 @@
Metadata-Version: 2.1 Metadata-Version: 2.1
Name: guan Name: guan
Version: 0.1.80 Version: 0.1.81
Summary: An open source python package Summary: An open source python package
Home-page: https://py.guanjihuan.com Home-page: https://py.guanjihuan.com
Author: guanjihuan Author: guanjihuan

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@ -330,6 +330,32 @@ def sorted_market_capitalization(num=10):
sorted_array.append([i0+1, stock_symbol, stock_name, market_capitalization]) sorted_array.append([i0+1, stock_symbol, stock_name, market_capitalization])
return sorted_array return sorted_array
# 美股市值排序
@guan.statistics_decorator
def sorted_market_capitalization_us(num=10):
import akshare as ak
import numpy as np
stocks = ak.stock_us_spot_em()
stock_data = stocks.values
new_stock_data = []
for stock in stock_data:
if np.isnan(float(stock[9])):
continue
else:
new_stock_data.append(stock)
new_stock_data = np.array(new_stock_data)
list_index = np.argsort(new_stock_data[:, 9])
list_index = list_index[::-1]
if num == None:
num = len(list_index)
sorted_array = []
for i0 in range(num):
stock_symbol = new_stock_data[list_index[i0], 15]
stock_name = new_stock_data[list_index[i0], 1]
market_capitalization = new_stock_data[list_index[i0], 9]/1e8
sorted_array.append([i0+1, stock_symbol, stock_name, market_capitalization])
return sorted_array
# 获取单个股票的历史数据 # 获取单个股票的历史数据
@guan.statistics_decorator @guan.statistics_decorator
def history_data_of_one_stock(symbol='000002', period='daily', start_date="19000101", end_date='21000101'): def history_data_of_one_stock(symbol='000002', period='daily', start_date="19000101", end_date='21000101'):