0.0.175

API_Reference/API_Reference.py

@@ -523,6 +523,18 @@ guan.change_directory_by_replacement(current_key_word='code', new_key_word='data
 
 # Module 14: others
 
+# 获取所有股票
+title, stock_data = guan.all_stocks()
+
+# 获取所有股票的代码
+stock_symbols = guan.all_stock_symbols()
+
+# 从股票代码获取股票名称
+stock_name = guan.find_stock_name_from_symbol(symbol='000002')
+
+# 获取单个股票的历史数据
+title, stock_data = guan.history_data_of_one_stock(symbol='000002', period='daily', start_date="19000101", end_date='21000101')
+
 # 拼接两个PDF文件
 guan.combine_two_pdf_files(input_file_1='a.pdf', input_file_2='b.pdf', output_file='combined_file.pdf')
 

Source_Code/PyPI/setup.cfg

@@ -1,7 +1,7 @@
 [metadata]
 # replace with your username:
 name = guan
-version = 0.0.173
+version = 0.0.175
 author = guanjihuan
 author_email = guanjihuan@163.com
 description = An open source python package

Source_Code/PyPI/src/guan.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: guan
-Version: 0.0.173
+Version: 0.0.175
 Summary: An open source python package
 Home-page: https://py.guanjihuan.com
 Author: guanjihuan

Source_Code/PyPI/src/guan/__init__.py

@@ -2,7 +2,7 @@
 
 # With this package, you can calculate band structures, density of states, quantum transport and topological invariant of tight-binding models by invoking the functions you need. Other frequently used functions are also integrated in this package, such as file reading/writing, figure plotting, data processing.
 
-# The current version is guan-0.0.173, updated on July 12, 2023.
+# The current version is guan-0.0.175, updated on September 05, 2023.
 
 # Installation: pip install --upgrade guan
 
@@ -3096,6 +3096,41 @@ def change_directory_by_replacement(current_key_word='code', new_key_word='data'
 
 # Module 14: others
 
+## stocks
+
+# 获取所有股票
+def all_stocks():
+    import akshare as ak
+    stocks = ak.stock_zh_a_spot_em()
+    title = np.array(stocks.columns)
+    stock_data = stocks.values
+    return title, stock_data
+
+# 获取所有股票的代码
+def all_stock_symbols():
+    title, stock_data = guan.all_stocks()
+    stock_symbols = stock_data[:, 1]
+    return stock_symbols
+
+# 从股票代码获取股票名称
+def find_stock_name_from_symbol(symbol='000002'):
+    title, stock_data = guan.all_stocks()
+    for stock in stock_data:
+        if symbol in stock:
+           stock_name = stock[2]
+    return stock_name
+
+# 获取单个股票的历史数据
+def history_data_of_one_stock(symbol='000002', period='daily', start_date="19000101", end_date='21000101'):
+    # period = 'daily'
+    # period = 'weekly'
+    # period = 'monthly'
+    import akshare as ak
+    stock = ak.stock_zh_a_hist(symbol=symbol, period=period, start_date=start_date, end_date=end_date)
+    title = np.array(stock.columns)
+    stock_data = stock.values[::-1]
+    return title, stock_data
+
 ## download
 
 # 通过Sci-Hub网站下载文献