Linwood Creekmore linwoodc3
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| # nba | |
| # Analyzes the NBA Salary to PER data set | |
| # | |
| # Author: Benjamin Bengfort <benjamin@bengfort.com> | |
| # Created: Sat Sep 20 09:35:11 2014 -0400 | |
| # | |
| # Copyright (C) 2014 Bengfort.com | |
| # For license information, see LICENSE.txt | |
| # | |
| # ID: nba.py [] benjamin@bengfort.com $ |
linwoodc3
/ lin_nba_player_salary_stats.py
Created
January 31, 2015 20:10
This summarizes the salary of NBA players. Eventually, I will compare the salary to the player efficiency rating.
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| __author__ = 'Linwood Creekmore' | |
| ## Wrote this for Software Engineering for Data Class ## | |
| ## My first solo creation | |
| import csv | |
| f = open('nba_players.csv') | |
| csv_f = csv.reader(f) |
linwoodc3
/ jupyternotebookdebug.log
Created
January 12, 2017 07:28
Log output of Jupyter Notebook debug
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| [D 02:18:44.009 NotebookApp] Searching ['/Users/linwood/projects', '/Users/linwood/.jupyter', '/Users/linwood/anaconda3/envs/scipyML/etc/jupyter', '/usr/local/etc/jupyter', '/etc/jupyter'] for config files | |
| [D 02:18:44.010 NotebookApp] Looking for jupyter_config in /etc/jupyter | |
| [D 02:18:44.010 NotebookApp] Looking for jupyter_config in /usr/local/etc/jupyter | |
| [D 02:18:44.010 NotebookApp] Looking for jupyter_config in /Users/linwood/anaconda3/envs/scipyML/etc/jupyter | |
| [D 02:18:44.011 NotebookApp] Looking for jupyter_config in /Users/linwood/.jupyter | |
| [D 02:18:44.011 NotebookApp] Looking for jupyter_config in /Users/linwood/projects | |
| [D 02:18:44.012 NotebookApp] Looking for jupyter_notebook_config in /etc/jupyter | |
| [D 02:18:44.012 NotebookApp] Looking for jupyter_notebook_config in /usr/local/etc/jupyter | |
| [D 02:18:44.012 NotebookApp] Looking for jupyter_notebook_config in /Users/linwood/anaconda3/envs/scipyML/etc/jupyter | |
| [D 02:18:44.034 NotebookApp] Loaded config file: /Users/linwood/anaconda3/envs/scipyML/etc/jupyter/ |
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| [D 15:17:30.243 NotebookApp] Searching ['/Users/linwood', '/Users/linwood/.jupyter', '/Users/linwood/anaconda3/envs/scipyML/etc/jupyter', '/usr/local/etc/jupyter', '/etc/jupyter'] for config files | |
| [D 15:17:30.244 NotebookApp] Looking for jupyter_config in /etc/jupyter | |
| [D 15:17:30.244 NotebookApp] Looking for jupyter_config in /usr/local/etc/jupyter | |
| [D 15:17:30.244 NotebookApp] Looking for jupyter_config in /Users/linwood/anaconda3/envs/scipyML/etc/jupyter | |
| [D 15:17:30.245 NotebookApp] Looking for jupyter_config in /Users/linwood/.jupyter | |
| [D 15:17:30.245 NotebookApp] Looking for jupyter_config in /Users/linwood | |
| [D 15:17:30.246 NotebookApp] Looking for jupyter_notebook_config in /etc/jupyter | |
| [D 15:17:30.246 NotebookApp] Looking for jupyter_notebook_config in /usr/local/etc/jupyter | |
| [D 15:17:30.246 NotebookApp] Looking for jupyter_notebook_config in /Users/linwood/anaconda3/envs/scipyML/etc/jupyter | |
| [D 15:17:30.246 NotebookApp] Loaded config file: /Users/linwood/anaconda3/envs/scipyML/etc/jupyter/jupyter_notebook_c |
linwoodc3
/ jupytercontribnbextensioninstall.log
Created
January 15, 2017 02:16
jupyter contrib nbextension install --user log
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| [I 21:11:04 InstallContribNbextensionsApp] jupyter contrib nbextension install --user | |
| [I 21:11:04 InstallContribNbextensionsApp] Installing jupyter_contrib_nbextensions nbextension files to jupyter data directory | |
| [I 21:11:04 InstallContribNbextensionsApp] Installing /Users/linwood/anaconda3/lib/python3.5/site-packages/jupyter_contrib_nbextensions/nbextensions/code_prettify -> code_prettify | |
| [I 21:11:04 InstallContribNbextensionsApp] Up to date: /Users/linwood/Library/Jupyter/nbextensions/code_prettify/code_prettify.js | |
| [I 21:11:04 InstallContribNbextensionsApp] Up to date: /Users/linwood/Library/Jupyter/nbextensions/code_prettify/code_prettify.yaml | |
| [I 21:11:04 InstallContribNbextensionsApp] Up to date: /Users/linwood/Library/Jupyter/nbextensions/code_prettify/demo-jv.gif | |
| [I 21:11:04 InstallContribNbextensionsApp] Up to date: /Users/linwood/Library/Jupyter/nbextensions/code_prettify/demo-py.gif | |
| [I 21:11:04 InstallContribNbextensionsApp] Up to date: /Users/linwood/Library/Jupyter/nbextensions/code_prettify/demo-R |
linwoodc3
/ nba_data_utils.py
Last active
February 25, 2017 21:10
Utility functions to clean ESPN.com's NBA data.
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| # By: Linwood Creekmore | |
| # https://www.linkedin.com/in/linwood-creekmore-iii-a2174538/ | |
| from dateutil.parser import parse | |
| from concurrent.futures import ProcessPoolExecutor | |
| from functools import partial | |
| import datetime | |
| import re | |
| import numpy as np | |
| import pandas as pd |
linwoodc3
/ linwood_utilities.py
Last active
April 11, 2017 11:12
Utility functions for District Data Labs blog on geolocated social media. These functions clean and prepare Twitter data for geospation analysis, in addition to removing personally identifying information.
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| # Author: | |
| # Linwood Creekmore III | |
| # email: valinvescap@gmail.com | |
| # Custom functions for Twitter Geospatial Analysis Blog | |
| ################################# | |
| # Class for corrupt json | |
| ################################# |
linwoodc3
/ ddlTwitterPlotters.py
Created
April 18, 2017 03:13
matplotlib plotting functions for my District Data Labs Twitter post.
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| # Author: Linwood Creekmore | |
| # email: valinvescap@gmail.com | |
| # date: 17 April 2017 | |
| import matplotlib.pyplot as plt | |
| from matplotlib import gridspec | |
| import matplotlib.patches as patches | |
| import datetime | |
| import pandas as pd |
linwoodc3
/ tweetCountryChoropleth.py
Last active
April 22, 2017 23:18
Simple code to create a choropleth based on the number of tweets.
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| def continentlabs(row): | |
| shape = row['geometry'].centroid | |
| x,y = shape.x,shape.y | |
| return (x,y,row['name']) | |
| %matplotlib inline | |
| from matplotlib import legend | |
| f, ax = plt.subplots(1, figsize=(20, 12)) | |
| gpd.read_file(gpd.datasets.get_path('naturalearth_lowres')).plot(ax=ax,color='white',linewidth=0.2) | |
| gdf.merge(countdf,left_on='name',right_on='NAME').plot(column='counted',cmap='OrRd',scheme='Fisher_Jenks',ax=ax,linewidth=0.1,edgecolor='white',legend=True,alpha=0.4) |
linwoodc3
/ shapefilereader.py
Last active
September 23, 2017 00:12
Using Python 2 (doesn't work for 3), this function reads zipped shapefiles from the web or disk and convert it into a Python geodataframe (pandas dataframe with spatial features).
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| import geopandas as gpd | |
| import numpy as np | |
| import requests | |
| import gdal | |
| import fiona | |
| import uuid | |
| import re | |
| # informaed by: https://gis.stackexchange.com/questions/225586/reading-raw-data-into-geopandas/225627 |
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