chaityacshah

from scipy.cluster.hierarchy import dendrogram, linkage
import sys
import matplotlib
matplotlib.use("Qt5Agg")
import numpy as np
from numpy import arange, sin, pi
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib import pyplot as plt

chaityacshah

import numpy as np
import pandas as pd
from sklearn import datasets, linear_model

def metrics(m,X,y):
    yhat = m.predict(X)
    print(yhat)
    SS_Residual = sum((y-yhat)**2)
    SS_Total = sum((y-np.mean(y))**2)
    r_squared = 1 - (float(SS_Residual))/SS_Total

chaityacshah

#!/usr/bin/python
#
# This script fetches the current open tabs in all Safari windows.  
# Useful to run remotely on your mac when you are at work and want 
# to read a page you have open (remotely) at home but don't remember 
# the url but can log in to your home system on the cmmand line
#

import sys
from pprint import pprint

chaityacshah

Python packages are installed in /Library/Python/2.7/site-packages by default.
To find the path programmatically,

from distutils.sysconfig import get_python_lib
print(get_python_lib())

Output:

/opt/anaconda/anaconda/lib/python3.5/site-packages

chaityacshah

rm -rf ~/Library/Preferences/<PRODUCT><VERSION>/
rm -rf ~/Library/Caches/<PRODUCT><VERSION>/
rm -rf ~/Library/Application\ Support/PyCharmCE2018.1/
rm -rf ~/Library/Logs/PyCharmCE2018.1/

chaityacshah

import os, glob

#prints all fies ending in .pdf
os.chdir("~")
for file in glob.glob("*.pdf"):
  print(file)

chaityacshah

# Create a new repository on the command line
 
touch README.md
git init
git add README.md
git commit -m "first commit"
git remote add origin https://github.com/c0ldlimit/vimcolors.git
git push -u origin master
 
# Push an existing repository from the command line

chaityacshah

mtcars$am.f <- as.factor(mtcars$am); levels(mtcars$am.f) <- c("Automatic", "Manual")
mtcars$cyl.f <- as.factor(mtcars$cyl); levels(mtcars$cyl.f) <- c("4 cyl", "6 cyl", "8 cyl")
mtcars$vs.f <- as.factor(mtcars$vs); levels(mtcars$vs.f) <- c("V engine", "Straight engine")
mtcars$gear.f <- as.factor(mtcars$gear); levels(mtcars$gear.f) <- c("3 gears", "4 gears", "5 gears")
mtcars$carb.f <- as.factor(mtcars$carb)

chaityacshah

library(ggplot2); library(gridExtra)
g1 <- ggplot(data=mtcars, aes(x=wt, y=mpg)) + 
        geom_point(alpha = 0.7, colour = "#0971B2") +
        ylab("Miles per gallon") + 
        ylim(10, 35) +
        xlab("Weight (`000 lbs)") +
        ggtitle("Untransformed Weight") + 
        geom_vline(xintercept = 0) +
        theme_bw()

chaityacshah

av_peds_2 <- ddply(p.subset, c("date", "collapsed_sensors_2"), summarise,
                 n_peds = sum(Hourly_Counts))

# Extract weekday versus weekend
av_peds_2$day <- weekdays(av_peds_2$date, abbreviate = FALSE)
av_peds_2$weekend <- ifelse((av_peds_2$day == "Saturday" | av_peds_2$day == "Sunday"), 
                           "Weekend", "Weekday")
av_peds_2$weekend <- as.factor(av_peds_2$weekend)

# Extract time of day