| Disable vim automatic visual mode on mouse select | |
| issue: :set mouse-=a | |
| add to ~/.vimrc: set mouse-=a | |
| my ~/.vimrc for preserving global defaults and only changing one option: | |
| source $VIMRUNTIME/defaults.vim | |
| set mouse-=a |
| import matplotlib as mpl | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| class MidpointNormalize(mpl.colors.Normalize): | |
| """ | |
| class to help renormalize the color scale | |
| """ | |
| def __init__(self, vmin=None, vmax=None, midpoint=None, clip=False): | |
| self.midpoint = midpoint |
| # first: | |
| lsbom -f -l -s -pf /var/db/receipts/org.nodejs.pkg.bom | while read f; do sudo rm /usr/local/${f}; done | |
| sudo rm -rf /usr/local/lib/node /usr/local/lib/node_modules /var/db/receipts/org.nodejs.* | |
| # To recap, the best way (I've found) to completely uninstall node + npm is to do the following: | |
| # go to /usr/local/lib and delete any node and node_modules | |
| cd /usr/local/lib | |
| sudo rm -rf node* |
| # extracted from http//www.naturalearthdata.com/download/110m/cultural/ne_110m_admin_0_countries.zip | |
| # under public domain terms | |
| country_bounding_boxes = { | |
| 'AF': ('Afghanistan', (60.5284298033, 29.318572496, 75.1580277851, 38.4862816432)), | |
| 'AO': ('Angola', (11.6400960629, -17.9306364885, 24.0799052263, -4.43802336998)), | |
| 'AL': ('Albania', (19.3044861183, 39.624997667, 21.0200403175, 42.6882473822)), | |
| 'AE': ('United Arab Emirates', (51.5795186705, 22.4969475367, 56.3968473651, 26.055464179)), | |
| 'AR': ('Argentina', (-73.4154357571, -55.25, -53.628348965, -21.8323104794)), | |
| 'AM': ('Armenia', (43.5827458026, 38.7412014837, 46.5057198423, 41.2481285671)), |
In python, you have floats and decimals that can be rounded. If you care about the accuracy of rounding, use decimal type. If you use floats, you will have issues with accuracy.
All the examples use demical types, except for the original value, which is automatically casted as a float.
To set the context of what we are working with, let's start with an original value.
