g = nx.complete_graph([
"playground equipment", "evanescent champagne", "curved spacetime",
"magic flute", "market returns", "spotty memory",
"languid feeling", "include numpy as np", "acidic chemical",
"downton abbey", "tumble weeds", "precede the cause"])
node_locs = nx.circular_layout(g)
theta = {k: np.arctan2(v[1], v[0]) * 180/np.pi for k, v in node_locs.items() }
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# This gist is initially used for analysing data in Spanish | |
import unidecode | |
import csv | |
def remove_accent (feed): | |
csv_f = open(feed, encoding='latin-1', mode='r') | |
csv_str = csv_f.read() | |
csv_str_removed_accent = unidecode.unidecode(csv_str) | |
csv_f.close() |
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## Quick fix for stargazer <= 5.2.3 is.na() issue with long model names in R >= 4.2 | |
# Unload stargazer if loaded | |
detach("package:stargazer",unload=T) | |
# Delete it | |
remove.packages("stargazer") | |
# Download the source | |
download.file("https://cran.r-project.org/src/contrib/stargazer_5.2.3.tar.gz", destfile = "stargazer_5.2.3.tar.gz") | |
# Unpack | |
untar("stargazer_5.2.3.tar.gz") | |
# Read the sourcefile with .inside.bracket fun |