joonro

import numpy as np
import pandas as pd

def cal_d(partial_panel, nvid_jt, movchr, r_all):
    for r, row in enumerate(partial_panel.itertuples()):
        showdate = pd.Timestamp(str(row.showdate))
        
        nvid = row.nvid

        reldate = movchr.at[nvid, 'reldate']

joonro

• $ (e.g., $4) represents columns, @ (e.g., @2) represents rows.
• $> means the last column.

Last row sum of all above:

joonro

Qualtrics.SurveyEngine.addOnload(function()

{
    /*Place your JavaScript here to run when the page loads*/
    var currentTime = new Date();
    var hours = currentTime.getHours();
    var minutes = currentTime.getMinutes();    

    var current_time_in_minutes = hours * 60 + minutes

joonro

/*
- 2021-09-24 Received this from He
*/

with elasticity_xp as 
(select
        msg.load_uuid
        , max_by(msg.elasticity_experiment.pre_xp_price, ts) as pre_xp_price
        , max_by(msg.elasticity_experiment.post_xp_price, ts) as post_xp_price
        , max_by(msg.elasticity_experiment.perturbation_factor, ts) as perturbation_factor

joonro

# test partial

from functools import partial


def frozen_func():
    return 2


def target_func(x, frozen_func):

joonro

numpy.seterr(all='raise')

joonro

# 2021-06-09 This is older way

import matplotlib.pyplot as plt

def plot_bar_chart_interaction(
    means_var1_low,
    means_var1_high,
    var1_name="",
    var2_name="",
    title="",

joonro

from IPython.display import display

joonro

import datetime

# get UTC timestamp in seconds
datetime_utc_origin = datetime.datetime(1970, 1, 1)

# now 
utc_timestamp_now = (datetime.datetime.utcnow() - datetime_utc_origin).total_seconds()

joonro

import math

n = 33  # number of questions
r = 6  # number of correct answers

probs = []



for r in range(n):