abehmiel

#!/usr/bin/python
# Langton's Ant
# Abraham Hmiel, 2017
# CC 3.0 attribution sharealike license

import numpy as np
import re
import sys
import matplotlib.pyplot as plt
import matplotlib as mpl

abehmiel

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

abehmiel

import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties

fig = plt.figure(figsize=(8.5,11.0))
plt.rc('text', usetex=True)
plt.rc('font', family='serif')
plt.rcParams['text.latex.preamble'] = [r'\boldmath']

# data in xmn, ymn does not exist. Replace with whatever data you're trying to plot

abehmiel

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D

# generally, it's not advised to make 3d plots becuase they're not very transferable
# and there's usually ways to do dimensionality reduction. However, sometimes it's useful
# for exploratory purposes.
fig = plt.figure(figsize=(14,9.5))
ax = fig.add_subplot(111, projection='3d')

ax.scatter(x1, y1, z1, label='data1', c='k')

abehmiel

col1 = (0/255.,107/255.,164/255.)    # dark blue
col2 = (255/255.,128/255.,14/255.)   # orange
col3 = (171/255.,171/255.,171/255.)  # half-gray
col4 = (89/255.,89/255.,89/255.)     # mostly gray
col5 = (95/255.,158/255.,209/255.)   # sky blue
col6 = (200/255.,82/255.,0/255.)     # burnt sienna
col7 = (137/255.,137/255.,137/255.)  # 3/4 gray
col8 = (162/255.,200/255.,236/255.)  # periwinkle
col9 = (255/255.,188/255.,121/255.)  # peach
col10 = (207/255.,207/255.,207/255.) # 1/4 gray

abehmiel

# List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

# Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

# Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(valuelist)]

abehmiel

#!/bin/sh

gifsicle --resize 120x120 file.gif > out-120.gif

abehmiel

-- pico-8 starter code
-- by @hypirlink

-- _init() is called when 
-- you 'run' the program
function _init()
 -- states: menu, game, end
 state = "menu"
end

abehmiel

# Thanks to Chris Albon. Shamelessly lifted from: https://chrisalbon.com/python/pandas_dataframe_importing_csv.html

import pandas as pd
import numpy as np

# Create dataframe (that we will be importing)
raw_data = {'first_name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'],
        'last_name': ['Miller', 'Jacobson', ".", 'Milner', 'Cooze'],
        'age': [42, 52, 36, 24, 73],
        'preTestScore': [4, 24, 31, ".", "."],

abehmiel

some_dict = {'one': 1, 'two':2, 'three': 3480394803840, 'four': 4}
max_key = max(some_dict, key=some_dict.get)