timtroendle

#!/bin/bash

PATH="/Users/trtim/miniconda3/envs/default/bin:${PATH}"
cd /Users/trtim/Develop/resource-potentials/report/
cat | pandoc -r markdown+simple_tables+table_captions+yaml_metadata_block -w html --standalone --bibliography=/Users/trtim/.pandoc/literature.bib --csl=/Users/trtim/Develop/resource-potentials/report/energy-strategy-reviews.csl --filter /Users/trtim/miniconda3/envs/default/bin/pantable --filter /Users/trtim/miniconda3/envs/default/bin/pandoc-fignos --filter /Users/trtim/miniconda3/envs/default/bin/pandoc-tablenos --filter /Users/trtim/miniconda3/envs/default/bin/pandoc-citeproc

timtroendle

"Timestamp","The workshop was worth my time [Was it?]","What do you think about the programme? [Keynotes]","What do you think about the programme? [Speed dating session]","What do you think about the programme? [Poster session]","What do you think about the programme? [Do-a-thons]","What do you think about the programme? [Lightning talks]","What do you think about the programme? [Workshop booklet]","My preferred order of sessions is:","Do you have specific comments about the programme?","What do you think about the organisation of this workshop? [There were enough breaks between sessions]","What do you think about the organisation of this workshop? [I received timely announcements]","What do you think about the organisation of this workshop? [I could find all necessary information easily]","What do you think about the organisation of this workshop? [The forum should be used more heavily for workshop and session organisation]","What do you think about the organisation of this workshop? [Organising do-a-thons o

timtroendle

"""Prototype of plotting matplotlib plots in consecutive processes.."""
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
from multiprocessing import Pool
# avoid to import pyplot as it'll import (on my machine) backends that fail with multiprocessing.

def do_plot(number):
    fig = Figure(figsize=(13, 7))
    FigureCanvas(fig)
    ax = fig.add_subplot(1, 1, 1)

timtroendle

import geopandas as gpd
import pandas as pd
import fiona
fiona.drvsupport.supported_drivers['kml'] = 'rw' # enable KML support which is disabled by default
fiona.drvsupport.supported_drivers['KML'] = 'rw' # enable KML support which is disabled by default

epc_data = pd.read_excel('./data/macromerge3.xlsm', sheetname='DomesticBulkDataAB')

geocodes = gpd.tools.geocode(["{}, {}".format(row.ADDRESS1, row.POSTCODE) for index, row in epc_data[:20].iterrows()],
                            provider='googlev3')

timtroendle

from pathlib import Path

import geopandas as gpd
import click
click.disable_unicode_literals_warning = True

ACTUAL_LSOA_COLUMN_NAME = 'LSOA_CODE'
NEEDED_LSOA_COLUMN_NAME = 'LSOAcode'