lenamax2355

from pyspark.sql.functions import array, col, explode, lit, struct
from pyspark.sql import DataFrame
from typing import Iterable

def melt(
        df: DataFrame, 
        id_vars: Iterable[str], value_vars: Iterable[str], 
        var_name: str="variable", value_name: str="value") -> DataFrame:
    """Convert :class:`DataFrame` from wide to long format."""

lenamax2355

#notebook-container{
    box-shadow: none !important;
}

.container {
    width: 80% !important;
}

.notebook_app {
    background: #fff !important;

lenamax2355

def describe_numeric_1d(series: pd.Series, series_description: dict) -> dict:
    """Describe a numeric series.
    Args:
        series: The Series to describe.
        series_description: The dict containing the series description so far.
    Returns:
        A dict containing calculated series description values.
    Notes:
        When 'bins_type' is set to 'bayesian_blocks', astropy.stats.bayesian_blocks is used to determine the number of
        bins. Read the docs:

lenamax2355

import appex
import json
import requests

LANGUAGE = "en-gb"
OXFORD_ID = "9acc1234"
OXFORD_KEY = "6baccf388cd6456456326e85054f30aba"
OXFORD_URL = "https://od-api.oxforddictionaries.com/api/v2"
OXFORD_HEADERS = {
    "app_id": OXFORD_ID,

lenamax2355

lenamax2355

__author__ = 'Amal G Jose'

from datetime import datetime
from dateutil import relativedelta

##Aug 7 1989 8:10 pm
date_1 = datetime(1989, 8, 7, 20, 10)

##Dec 5 1990 5:20 am
date_2 = datetime(1990, 12, 5, 5, 20)

lenamax2355

// Highcharts CheatSheet Part 1.
// Create interactive charts easily for your web projects.
// Download: http://www.highcharts.com/download
// More: http://api.highcharts.com/highcharts


// 1. Installation.
// Highcharts requires two files to run, highcharts.js and either jQuery, MooTools or Prototype or the Highcharts Standalone Framework which are used for some common JavaScript tasks.
// <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script>
// <script src="https://code.highcharts.com/highcharts.js"></script>

lenamax2355

# client object
client = googlemaps.Client(key = "YOUR API")

# most avaialable parameters 
all_fields = ['business_status', 'formatted_address','geometry/location','name', 
              'place_id', 'rating','types', 'user_ratings_total','formatted_phone_number']

# desirable parameters
fields = ['place_id', 'name', 'formatted_address']

curiousest

# Because I couldn't get this to do what I wanted: 
# https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.compare.html

import pandas as pd
from typing import Optional, List

def compare_dataframes(df1, df2, drop_indexes=False, ignore_columns: Optional[List]=None):
    '''Returns two dataframes: the rows that only show up in each dataframe'''
    if drop_indexes:
        df1 = df1.reset_index(drop=True)

MarcSkovMadsen