After class 4-29-2025

This commit is contained in:
Edward Bigos 2025-04-29 10:41:48 -04:00
parent 83c99e9695
commit 7665d58442
7 changed files with 29 additions and 1 deletions

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@ -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))

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@ -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)

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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'])
print(s1) print(s1)
s3 = s1+5 s3 = s1+5
print(s3) print(s3)
s3 = s1+20
print(s3)

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

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

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

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