try get stock data

Author: alvinhuu

Stock/SnPindex.py

@@ -0,0 +1,53 @@
+import pandas as pd  
+import numpy as np
+import urllib3
+from bs4 import BeautifulSoup
+import yfinance as yf
+
+# 參考網站
+# https://medium.com/ai%E8%82%A1%E4%BB%94/%E7%94%A8-python-%E6%89%93%E9%80%A0%E8%87%AA%E5%B7%B1%E7%9A%84%E8%82%A1%E5%B8%82%E8%B3%87%E6%96%99%E5%BA%AB-%E7%BE%8E%E8%82%A1%E7%AF%87-e3e896659fd6
+
+# https://medium.com/ai%E8%82%A1%E4%BB%94/%E7%94%A8-python-%E6%89%93%E9%80%A0%E8%87%AA%E5%B7%B1%E7%9A%84%E8%82%A1%E5%B8%82%E8%B3%87%E6%96%99%E5%BA%AB-%E7%BE%8E%E8%82%A1%E7%AF%87-e3e896659fd6
+# 最近一日交易量最大的前 100 檔熱門美股
+url = 'https://finance.yahoo.com/screener/predefined/most_actives?count=100&offset=0'
+data = pd.read_html(url, flavor="bs4")[0]
+data.columns = ['symbol','name','price','changePrice','changePercent','vol','avgVol','MarketCap','TTM','52wkRange']
+# a = sorted(a, key=lambda a_entry: a_entry[1]) 
+# data1 = data[np.argsort(data[::, 0])]
+# print(data)
+
+def p2f(x):
+    return float(x.strip('%'))/100
+
+def Money2int(x):
+    m = {'K': 3, 'M': 6, 'B': 9, 'T': 12}
+    if x.isdigit():
+        return float(x)
+    return (float(x[:-1]) * 10 ** m[x[-1]] )
+
+def sort3to10(x):
+    A = Money2int(x[5])
+    B = Money2int(x[6])
+    P = p2f(x[4])
+    L = ( A>B and ( P>=0.03 and P<= 0.1))
+    return L
+
+def big10(x):
+    A = Money2int(x[5])
+    B = Money2int(x[6])
+    P = p2f(x[4])
+    L = ( A>B and P > 0.1)
+    return L
+
+newlist =  list( filter(big10, data.values) )
+d = np.row_stack(newlist)
+dataset = pd.DataFrame({'Symbol': d[:, 0], 'Name': d[:, 1], 'price': d[:, 2], 'Change': d[:, 3], 'Change%': d[:, 4], 'TTM': d[:, 8], 'Vol': d[:, 5], 'avgVol(3m)': d[:, 6] })
+
+# dataframe = pd.DataFrame.from_records(d)
+# dataset.boxplot()
+print(dataset)
+# data=data[np.argsort(data[:,0])]
+# stk_list = data.Symbol
+
+# Yahoo! module
+#https://pypi.org/project/yfinance/