GDS
stackThis notebook checks all software requirements for the course Geographic Data Science are correctly installed.
A successful run of the notebook implies no errors returned in any cell and every cell beyond the first one returning a printout of True
. This ensures a correct environment installed.
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import qgrid
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qgrid.nbinstall(overwrite=True)
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import pandas as pd
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import scipy as sp
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import matplotlib as mpl
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import seaborn as sns
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import bokeh
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import statsmodels.api as sm
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import sklearn
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import networkx as nx
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import pyproj
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import clusterpy as cp
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import pysal as ps
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import fiona
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import geopandas as gpd
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import rasterio
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import geopy
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import mplleaflet
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import brewer2mpl
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shp = ps.examples.get_path('columbus.shp')
db = gpd.read_file(shp)
db.head()
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qgrid.show_grid(pd.DataFrame(db.loc[:, ['AREA', 'CRIME']]))
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import matplotlib.pyplot as plt
%matplotlib inline
f, ax = plt.subplots(1)
for poly in db['geometry']:
gpd.plotting.plot_multipolygon(ax, poly, facecolor='yellow', edgecolor='grey', linewidth=0.1)
ax.set_axis_off()
plt.show()
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db.crs['init'] = 'epsg:26918'
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db_wgs84 = db.to_crs(epsg=4326)
db_wgs84.plot()
plt.show()
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db.plot(column='INC', scheme='fisher_jenks', colormap=plt.matplotlib.cm.Blues)
plt.show()
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%load_ext rpy2.ipython
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import pymc3