After class 4-29-2025

bigos/lecture20250422/numpy01/numpyExample02.py

@@ -0,0 +1,18 @@
+import numpy as np
+
+list_of_lists = [[1, 2, 3], [4, 5, 6]]
+array_2d = np.array(list_of_lists)
+arr = np.array([1, 2, 3, 4, 5])
+
+print(arr)
+print(array_2d)
+
+arr = np.array([[1, 2, 3], [4, 5, 6]])
+
+print(arr)
+
+
+print(f"The numpy version is {np.__version__}")
+
+print(type(arr))
+

bigos/lecture20250429/1CreateBasicSeries/series02a.py

@@ -0,0 +1,3 @@
+import pandas as pd
+s1 = pd.Series([1.25,1.75,2.25,2.75,3.25],index=['2020','2021','2022','2023','2024'])
+print(s1)

bigos/lecture20250429/1CreateBasicSeries/series03.py

@@ -2,4 +2,7 @@ import pandas as pd
 s1 = pd.Series([1.25,1.75,2.25,2.75,3.25],index=['a','b','c','d','e'])
 print(s1)
 s3 = s1+5
+print(s3)
+
+s3 = s1+20
 print(s3)

bigos/lecture20250429/2CreateBasicDataframe/CreateDataFrame03.py

@@ -3,6 +3,7 @@ name = pd.Series(['Bob','Sam'])
 team = pd.Series(['Wild Bunch','Sleepy Team'])
 dic = {'Name':name,'Team':team}
 
+print("The dictionary is ",dic)
 df = pd.DataFrame(dic)
 
 print("Create data frame from a dictionary")

bigos/lecture20250429/3PrintAndDescribe/CreateDataFrame01.py

@@ -3,3 +3,4 @@ import pandas as pd
 df = pd.DataFrame()
 print("Create empty data frame")
 print(df)
+

bigos/lecture20250429/3PrintAndDescribe/CreateDataFrame04.py

@@ -21,3 +21,5 @@ print(" ========== Column wise data =========")
 for (col_index, col_value) in df.items() :
     print("\n Col index is :",col_index)
     print("\n Col Value is: ",col_value)
+
+print("Describe\n",df.describe())

bigos/lecture20250429/4WebscrapeLocal/webscrapeTest01X.py

@@ -30,7 +30,7 @@ def url_get_contents(url):
 # https://stackoverflow.com/questions/27835619/urllib-and-ssl-certificate-verify-failed-error
 ssl._create_default_https_context = ssl._create_unverified_context
 
-webpage = url_get_contents('https://cset2.stcc.edu/~csetuser/pandas/index.html')
+webpage = url_get_contents('https://cset2.stcc.edu/~csetuser/pandas/index2.html')
 
 # Read the HTML file into a Pandas dataframe
 soup = BeautifulSoup(webpage, 'html.parser')