Dictionaries Lists my_list = [‘a’,’b’,’c’,’d’] # index 0 1 2 3 my_list[0] > ‘a’ my_list.index[‘c’] > 2 Intro Keys Values —- —— Firm Code FRD Process Date 10/14/2019 CUSIP 13246879 Representation of a dictionary = { ‘key-1’ : ‘value-1’ , ‘key-2’ : ‘value-2’ , ‘key-3’ : ‘value-3’ , ‘key-4’ : ‘value-4’ } Creation # Create […]
Python
Python Basics – Datetime
Datetimes – basic Datetime from datetime import datetime black_monday = datetim(1987, 10, 19) > datetime.datetime(1987, 10, 19, 0, 0) Current Datetime from datetime import datetime datetime.now() Datetime from a string black_monday_str = “Monday, October 19, 1987, 9:30 am” format_str = “%A, %B %d, %Y, %I:%M %p” datetime.datetime.strptime(black_monday_str, format_str) > datetime.datetime(1987, 10, 19, 9, 30) Year: […]
Python – Machine Learnining Code Snippets
Feature Engineering Skewed Distribution You’ve been fine-tuning a machine learning model you created for predicting mortgage defaults on a mortgages DataFrame. You’re aiming to eliminate skewness from your numerical variables by using a log transformation. Despite the transformation, one of your columns is still skewed – why do you think so and what is the […]
Python – Data Visualisation Code Snippets
Bar Chart Plot a horizontal bar chart of the data contained in the df Pandas DataFrame. lab val 0 A 10 1 B 30 2 C 20 import matplotlib.pyplot as plt import seaborn as sns sns.barplot(x=”lab”, y=”val”, data=df) plt.show() Count Plot Pet owners were surveyed to determine their preference for dogs, cats or both. Visualize […]
How to interprete Results – Statistics and ML results
Statistics Statistics – Categorical variable Which measures of center can be used for a variable that records the type of housing that a person has. The variable has three possible values: for free, renting, own. mode is an appropriate measure. Statistics – IQR Consider a set of data: 2, 3, 4, 5, 6, 6, 7, […]
Python Code Snippets – Import and Cleaning
Importing and Cleaning Importing Pickle-files import pandas as pd x = pd.read_pickle(‘data.pkl’) CSV Files # Use only certain columns import pandas as pd cols= [‘style’, ‘type’, ‘price’] wine= pd.read_csv(file_name, usecols= cols) print(wine.head()) # – values in the CSV are replaced by NaN import pandas as pd candy= pd.read_csv(file_name, na_values= ‘-‘) print(candy.head()) TXT Files data = […]
Python Code – Basic Programming
Lists packages = [‘numpy’,’pandas’,’scipy’] for i in packages: print(i) import pandas as pd list_keys = [‘a’,’b’] list_values = [[‘x’,’y’],[1,2]] all = list(zip(list_keys, list_values)) > all > [(‘a’,[‘x’,’y’]),(‘b’,[1,2])] [i for i in range(5) if i > 2] > [3, 4] [s.upper() for s in [‘hallo’,’aarde’]] > [‘HALLO’,’AARDE’] Dictionaries d = { ‘appel’: 1, ‘peer’: […]