michaeldorman

library(tidyverse)
library(wesanderson)
mean_steps <-  read.csv("data.csv", stringsAsFactors = FALSE)

cols = c("#FF0000", "#00A08A", "#F2AD00")
cols2 = paste0(cols, "80") 
cols = c(rbind(cols2, cols))

ggplot(data=mean_steps,aes(x = trial, y = mean_same, color = paste(block, actor))) +
  stat_summary(fun="mean",position=position_dodge(width=0.1), 

michaeldorman

library(ggplot2)
library(sf)

# Prepare layer
dat = data.frame(
    name = c("Beer-Sheva Center", "Beer-Sheva University", "Dimona"),
    lon = c(34.79844, 34.81283, 35.01163),
    lat = c(31.24329, 31.26028, 31.06862)
)
dat = st_as_sf(dat, coords = c("lon", "lat"), crs = 4326)

michaeldorman

MULTIPOLYGON (((0.164551 0.268229, 0.162651 0.165419, 0.163411 0.141818, 0 0.141818, 0.015191 0.155382, 0.0493164 0.208876, 0.0709636 0.289497, 0.0705296 0.376574, 0.0593533 0.441894, 0.0534397 0.462999, 0.0604926 0.457303, 0.0782335 0.443414, 0.101617 0.426161, 0.119358 0.414008, 0.125488 0.410319, 0.129666 0.407824, 0.142524 0.400771, 0.160157 0.391656, 0.17399 0.384819, 0.179579 0.382107, 0.175672 0.362739, 0.164551 0.268229)), ((0.192219 0.226346, 0.198133 0.312554, 0.215603 0.392469, 0.236708 0.443414, 0.247017 0.458062, 0.256565 0.471733, 0.291124 0.508572, 0.338596 0.555122, 0.378256 0.606174, 0.397299 0.653754, 0.398981 0.670031, 0.400987 0.689725, 0.388672 0.750597, 0.351292 0.837131, 0.299804 0.918457, 0.261339 0.968045, 0.247288 0.983344, 0.249132 0.966743, 0.24235 0.915528, 0.219021 0.849393, 0.187011 0.785428, 0.15625 0.723958, 0.13661 0.665419, 0.137912 0.610135, 0.170085 0.558485, 0.223469 0.520019, 0.243001 0.510796, 0.239746 0.506401, 0.231879 0.495335, 0.222168 0.480849, 0.215332 0.469889, 0

michaeldorman

michaeldorman

import numpy as np
import pandas as pd
import geopandas as gpd
import rasterio

# numpy
a = np.array([3, 8, -2, 43, 12, 1, 8])
b = np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]])
c = np.arange(1, 25).reshape((2, 3, 4))
m = np.array([[ np.nan,  np.nan,  np.nan,  np.nan,  np.nan,   3.,   3.],

michaeldorman

from selenium import webdriver
import time
driver = webdriver.Firefox()

# Loop
for i in range(1950, 2022):
    for j in list(range(1, 12)):
        # Variable selection
        driver.get("https://ims.data.gov.il/he/ims/2")
        time.sleep(3)

michaeldorman

from selenium import webdriver
import time
driver = webdriver.Firefox()

# Loop
for i in range(1940, 1951):
    for j in list(range(1, 12)):
        # Variable selection
        driver.get("https://ims.data.gov.il/he/ims/2")
        time.sleep(3)