Linwood Creekmore linwoodc3
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
/ 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: [email protected] | |
| # 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
/ 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 |
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: [email protected] | |
| # Custom functions for Twitter Geospatial Analysis Blog | |
| ################################# | |
| # Class for corrupt json | |
| ################################# |
linwoodc3
/ cleantweets.py
Last active
January 19, 2021 22:58
Python script that uses the python Twitter client (https://github.com/sixohsix/twitter) to pull tweets that are geolocated. Optionally stores in efficient columnar parquet data store with configurable file sizes. Took 13 secs to download 100 geolocated tweets on MacOS 10.12 with 16 GB RAM on 82 Mb/s connection.
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| # Author | |
| # Linwood Creekmore III | |
| # April 8 2017 | |
| # heavy input from http://socialmedia-class.org/twittertutorial.html | |
| # [email protected] | |
| import re | |
| import copy | |
| import numpy as np | |
| import pandas as pd |
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
/ 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 |
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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
/ 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/ |
linwoodc3
/ keyholemarkup_converter.py
Last active
March 19, 2025 11:53
Convert KML/KMZ to CSV or KML/KMZ to shapefile or KML/KMZ to Dataframe or KML/KMZ to GeoJSON. Full script with classes to convert a KML or KMZ to GeoJSON, ESRI Shapefile, Pandas Dataframe, GeoPandas GeoDataframe, or CSV. Can write the converted file directly to disk with no human intervention.
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| # Author: | |
| # Linwood Creekmore III | |
| # email: [email protected] | |
| # Acknowledgements: | |
| # http://programmingadvent.blogspot.com/2013/06/kmzkml-file-parsing-with-python.html | |
| # http://gis.stackexchange.com/questions/159681/geopandas-cant-save-geojson | |
| # https://gist.github.com/mciantyre/32ff2c2d5cd9515c1ee7 | |