Jobel jobel-openscience

## FileTransfer.py
# File Transfer for Pythonista
# ============================
# This script allows you to transfer Python files from
# and to Pythonista via local Wifi.
# It starts a basic HTTP server that you can access
# as a web page from your browser.
# When you upload a file that already exists, it is
# renamed automatically.
# From Pythonista's settings, you can add this script
# to the actions menu of the editor for quick access.

## gist_add_new_column_to_pandas_df.py
data['LAT'] = pd.Series([str(round(value,9)) for value in data.lat], index=data.index)

## gist_reversing_key_values_from_dict.py
# Reversing a dictionary, key <-> value
# but only this work when values are hashable
# and there are no duplicate values.
# credits to: http://stackoverflow.com/a/19165996
p = dict(zip(i.values(),i.keys()))

## remove_multiple_keys_by_value.py
from datetime import datetime

# Suppose you have a list of dates that you want to rearrange and group by year and month

date_list = ['2002-10-31', '2002-11-12', '2002-11-13', '2003-01-26', '2003-02-01', '2003-02-02', '2003-02-04', '2003-02-07',
 '2003-02-09', '2003-02-16', '2003-02-18', '2003-02-27', '2003-03-02', '2003-03-04', '2003-03-05', '2003-03-10', '2003-03-12',
 '2003-03-13', '2003-04-15', '2003-04-16', '2003-11-21', '2003-11-24', '2004-01-29', '2004-01-30', '2004-01-31', '2004-02-01',
 '2004-02-02', '2004-02-03', '2004-02-04', '2004-02-05']
# You can convert it first as an isoDate
isoDates = [datetime.strptime(d, "%Y-%m-%d") for d in date_list]

## gist_to_parse_a_date_string.py
# Examples to parse a date
from datetime import datetime
def parser(string2parse):
    return datetime.strptime(string2parse, "%d/%m/%Y")

H3 = pd.read_csv(os.path.join(dirname,filename),sep="\t")
# Alternative (1)
H3["isoDate"] = [parser(d) for d in H3.Date]
# or
# Alternative (2)

## sysctl.conf
#
# /etc/sysctl.conf - Configuration file for setting system variables
# See /etc/sysctl.d/ for additional system variables.
# See sysctl.conf (5) for information.
#

#kernel.domainname = example.com

# Uncomment the following to stop low-level messages on console
#kernel.printk = 3 4 1 3

## gist_beam_batch_process_pin_file_creation.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__credits__ = ["José M. Beltrán"]
__license__ = "GPL-3.0"
__created_on__ = ["2014-10-15"]

def create_pin_files(data_frame, outdir):
    """
    Batch process the creation of BEAM-VISAT (http://www.brockmann-consult.de/cms/web/beam/) pin files.
    Outputs a "pin_sampling_date_batched.placemark" file.

## gist_calculate_centroid_site_location.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Modified from:  http://stackoverflow.com/questions/14114610/finding-centre-of-a-polygon-using-limited-data
See also: http://en.wikipedia.org/wiki/Centroid#Centroid_of_polygon

NOTE: All the following geolocations calculations assumed that
the distance from each position is short, i.e. that can be considered to over a flat surface.
Otherwise, converting to spherical coordinates needs to be implemented.
"""
	# File Transfer for Pythonista
	# ============================
	# This script allows you to transfer Python files from
	# and to Pythonista via local Wifi.
	# It starts a basic HTTP server that you can access
	# as a web page from your browser.
	# When you upload a file that already exists, it is
	# renamed automatically.
	# From Pythonista's settings, you can add this script
	# to the actions menu of the editor for quick access.
	# Reversing a dictionary, key <-> value
	# but only this work when values are hashable
	# and there are no duplicate values.
	# credits to: http://stackoverflow.com/a/19165996
	p = dict(zip(i.values(),i.keys()))
	from datetime import datetime

	# Suppose you have a list of dates that you want to rearrange and group by year and month

	date_list = ['2002-10-31', '2002-11-12', '2002-11-13', '2003-01-26', '2003-02-01', '2003-02-02', '2003-02-04', '2003-02-07',
	'2003-02-09', '2003-02-16', '2003-02-18', '2003-02-27', '2003-03-02', '2003-03-04', '2003-03-05', '2003-03-10', '2003-03-12',
	'2003-03-13', '2003-04-15', '2003-04-16', '2003-11-21', '2003-11-24', '2004-01-29', '2004-01-30', '2004-01-31', '2004-02-01',
	'2004-02-02', '2004-02-03', '2004-02-04', '2004-02-05']
	# You can convert it first as an isoDate
	isoDates = [datetime.strptime(d, "%Y-%m-%d") for d in date_list]
	# Examples to parse a date
	from datetime import datetime
	def parser(string2parse):
	return datetime.strptime(string2parse, "%d/%m/%Y")

	H3 = pd.read_csv(os.path.join(dirname,filename),sep="\t")
	# Alternative (1)
	H3["isoDate"] = [parser(d) for d in H3.Date]
	# or
	# Alternative (2)
	#
	# /etc/sysctl.conf - Configuration file for setting system variables
	# See /etc/sysctl.d/ for additional system variables.
	# See sysctl.conf (5) for information.
	#

	#kernel.domainname = example.com

	# Uncomment the following to stop low-level messages on console
	#kernel.printk = 3 4 1 3
	#!/usr/bin/env python
	# -- coding: utf-8 --
	__credits__ = ["José M. Beltrán"]
	__license__ = "GPL-3.0"
	__created_on__ = ["2014-10-15"]

	def create_pin_files(data_frame, outdir):
	"""
	Batch process the creation of BEAM-VISAT (http://www.brockmann-consult.de/cms/web/beam/) pin files.
	Outputs a "pin_sampling_date_batched.placemark" file.
	#!/usr/bin/env python
	# -- coding: utf-8 --
	"""
	Modified from: http://stackoverflow.com/questions/14114610/finding-centre-of-a-polygon-using-limited-data
	See also: http://en.wikipedia.org/wiki/Centroid#Centroid_of_polygon

	NOTE: All the following geolocations calculations assumed that
	the distance from each position is short, i.e. that can be considered to over a flat surface.
	Otherwise, converting to spherical coordinates needs to be implemented.
	"""