After class 4-29-2025
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83c99e9695
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7 changed files with 29 additions and 1 deletions
18
bigos/lecture20250422/numpy01/numpyExample02.py
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18
bigos/lecture20250422/numpy01/numpyExample02.py
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@ -0,0 +1,18 @@
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import numpy as np
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list_of_lists = [[1, 2, 3], [4, 5, 6]]
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array_2d = np.array(list_of_lists)
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arr = np.array([1, 2, 3, 4, 5])
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print(arr)
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print(array_2d)
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arr = np.array([[1, 2, 3], [4, 5, 6]])
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print(arr)
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print(f"The numpy version is {np.__version__}")
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print(type(arr))
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3
bigos/lecture20250429/1CreateBasicSeries/series02a.py
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bigos/lecture20250429/1CreateBasicSeries/series02a.py
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import pandas as pd
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s1 = pd.Series([1.25,1.75,2.25,2.75,3.25],index=['2020','2021','2022','2023','2024'])
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print(s1)
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@ -3,3 +3,6 @@ s1 = pd.Series([1.25,1.75,2.25,2.75,3.25],index=['a','b','c','d','e'])
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print(s1)
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print(s1)
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s3 = s1+5
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s3 = s1+5
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print(s3)
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print(s3)
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s3 = s1+20
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print(s3)
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@ -3,6 +3,7 @@ name = pd.Series(['Bob','Sam'])
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team = pd.Series(['Wild Bunch','Sleepy Team'])
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team = pd.Series(['Wild Bunch','Sleepy Team'])
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dic = {'Name':name,'Team':team}
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dic = {'Name':name,'Team':team}
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print("The dictionary is ",dic)
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df = pd.DataFrame(dic)
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df = pd.DataFrame(dic)
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print("Create data frame from a dictionary")
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print("Create data frame from a dictionary")
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@ -3,3 +3,4 @@ import pandas as pd
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df = pd.DataFrame()
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df = pd.DataFrame()
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print("Create empty data frame")
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print("Create empty data frame")
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print(df)
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print(df)
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@ -21,3 +21,5 @@ print(" ========== Column wise data =========")
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for (col_index, col_value) in df.items() :
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for (col_index, col_value) in df.items() :
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print("\n Col index is :",col_index)
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print("\n Col index is :",col_index)
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print("\n Col Value is: ",col_value)
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print("\n Col Value is: ",col_value)
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print("Describe\n",df.describe())
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@ -30,7 +30,7 @@ def url_get_contents(url):
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# https://stackoverflow.com/questions/27835619/urllib-and-ssl-certificate-verify-failed-error
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# https://stackoverflow.com/questions/27835619/urllib-and-ssl-certificate-verify-failed-error
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ssl._create_default_https_context = ssl._create_unverified_context
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ssl._create_default_https_context = ssl._create_unverified_context
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webpage = url_get_contents('https://cset2.stcc.edu/~csetuser/pandas/index.html')
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webpage = url_get_contents('https://cset2.stcc.edu/~csetuser/pandas/index2.html')
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# Read the HTML file into a Pandas dataframe
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# Read the HTML file into a Pandas dataframe
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soup = BeautifulSoup(webpage, 'html.parser')
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soup = BeautifulSoup(webpage, 'html.parser')
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