Assuming you've installed the AWS SDK for Python:
pip install awscli
pip install boto3
Next, run aws configure on your laptop or server to add your AWS credentials.
For details, see
| pop_states = usa.merge(state_pop, left_on="NAME", right_on="NAME") | |
| pop_states.head() |
| state_pop = pd.read_csv("data/nst-est2018-alldata.csv") | |
| state_pop.head() |
| usa = gpd.read_file("maps/cb_2018_us_state_20m.shp") | |
| usa.head() |
| import geoplot as gplt | |
| import geopandas as gpd | |
| import geoplot.crs as gcrs | |
| import imageio | |
| import pandas as pd | |
| import pathlib | |
| import matplotlib.pyplot as plt | |
| import mapclassify as mc | |
| import numpy as np |
| wget http://www2.census.gov/programs-surveys/popest/datasets/2010-2018/national/totals/nst-est2018-alldata.csv | |
| mv nst-est2018-alldata.csv data |
| wget https://www2.census.gov/geo/tiger/GENZ2018/shp/cb_2018_us_state_20m.zip | |
| mkdir maps | |
| cd maps | |
| unzip ../cb_2018_us_state_20m.zip |
| conda install -c conda-forge geopandas | |
| conda install -c conda-forge geoplot | |
| conda install pysal |
Assuming you've installed the AWS SDK for Python:
pip install awscli
pip install boto3
Next, run aws configure on your laptop or server to add your AWS credentials.
For details, see
| #!/usr/bin/env python | |
| # encoding: utf-8 | |
| import codecs | |
| import csv | |
| import json | |
| import unicodedata | |
| filename = "SurveyofDoctorateRecipients_linkages.csv" | |
| #filename = "SurveyofEarnedDoctorates_linkages.csv" |
| <html> | |
| <head><title>test pdf</title></head> | |
| <div id="pdf" | |
| style="width:900px; height:500px" | |
| ></div> | |
| <script src="https://pdfobject.com/js/pdfobject.min.js"></script> | |
| <script> | |
| var options = { | |
| pdfOpenParams: { | |
| page: 1, |