def in_dir(dir_name, recursive=False):
""" lists all the rasters in an input directory """
rast_list = core.list_files(recursive, dir_name)
rast_list = enf_rastlist(rast_list)
print("Found {0} file with valid raster format".format(len(rast_list)))
return rast_list
def in_dir(dir_name, recursive = False):
""" lists all the rasters in an input directory """
rast_list = core.list_files(recursive, dir_name)
rast_list = enf_rastlist(rast_list)
print("Found {0} file with valid raster format".format(len(rast_list)))
return rast_list
def from_directory(self, directory, fmt, fmt_unmask = None):
"""
creates a list of all rasters in a directory, then
passes this list to self.from_rastlist
"""
filepaths = core.list_files(False, directory, ".tif")
filepaths = raster.enf_rastlist(filepaths)
self.from_rastlist(filepaths, fmt, fmt_unmask)
return
def from_directory(self, directory, fmt, fmt_unmask=None):
"""
creates a list of all rasters in a directory, then
passes this list to self.from_rastlist
"""
filepaths = core.list_files(False, directory, ".tif")
filepaths = raster.enf_rastlist(filepaths)
self.from_rastlist(filepaths, fmt, fmt_unmask)
return
def NewFileName (recursive, workspace, installation):
files = core.list_files(recursive, workspace)
i = 100
head, tail = os.path.split(files[0])
util = tail[0:4]
newname = installation + "-" + util + "-000"
for items in files:
print items
original = items[:-4]
new= newname + str(i)
print "Renaming " + original + " to " + new
core.rename(items, original, workspace + "\\" + new)
i = i +1
def NewFileName (recursive, workspace, installation):
#finds files to name
files = core.list_files(recursive, workspace)
i = 100
for items in files:
head, util = os.path.split(os.path.dirname(items))
print items
original = items[:-4]
newname = "{0}-{1}-{2}".format(installation, util, str(i).zfill(6))
print "Renaming " + original + " to " + newname
core.rename(items, original, workspace + "\\" + newname)
i = i +1
def batch_clip(workspace,outspace, clipto, tolerance):
from dnppy import core
import arcpy
import os
arcpy.env.workspace = workspace
clipfiles = core.list_files(False, works, ".shp",[".prj", ".clf", '.dbf', '.sbx', '.sbn', '.shx', '.xml'])
for i in clipfiles:
head, tail = os.path.split(i)
clipfile = works + "\\" + clipto
outs = outspace + "\\" + tail[:-4] + "_Clip.shp"
cluster_tolerance= tolerance
print "Currently clipping " + tail
arcpy.Clip_analysis(i,clipto,outs,cluster_tolerance)
print tail + " clipped!"
def in_dir(dir_name, recursive = False):
"""
Lists all the rasters in an input directory. finds all formats
supported by ``raster.enf_rastlist()``.
:param dir_name: directory to search rasters for
:param recursive: Set to "True" to search within subfolders of input
directory "dir_name"
"""
rast_list = core.list_files(recursive, dir_name)
rast_list = enf_rastlist(rast_list)
print("Found {0} file with valid raster format".format(len(rast_list)))
return rast_list
def in_dir(dir_name, recursive=False):
"""
Lists all the rasters in an input directory. finds all formats
supported by ``raster.enf_rastlist()``.
:param dir_name: directory to search rasters for
:param recursive: Set to "True" to search within subfolders of input
directory "dir_name"
"""
rast_list = core.list_files(recursive, dir_name)
rast_list = enf_rastlist(rast_list)
print("Found {0} file with valid raster format".format(len(rast_list)))
return rast_list
def sort(filelist):
# moves files to a folder named after them
# must decide which part of the filename you want
# Script will ask you for a project number in order to format the
# the name of the folder correctly
# If another project has a specific naming convention you would like to add just let me know!
# determines the project naming convention
project = input("Which project number are you working on?")
# finds all the files in the workspace folder provided
# if you are only looking for a certain type of file extension,
# replace the 2nd False with strings (ex: ".shp") or a list of
# strings (ex: [".shp", ".xml"]
# The same can be done with the last False to exclude file types
files = core.list_files(False, filelist, False, False)
for filename in files:
head,tail = os.path.split(filename) #identifies the name of the file
if project == 5646:
tail_list = tail[0:4] #finds the utility type
print "Beginning to move " + tail #moves to corresponding folder
move_dir = os.path.join(head, tail_list)
if not os.path.exists(move_dir):
os.makedirs(move_dir) # if the folder doesn't already exist in workspace, its now created
print tail + " moved to folder"
shutil.move(filename, os.path.join(move_dir, tail))
elif project == 5088:
delim = "_"
tail_list = tail.split(delim) #finds the utility type
print "Moving " + tail #moves to corresponding folder
move_dir = os.path.join(head, tail_list[0])
if not os.path.exists(move_dir):
os.makedirs(move_dir) # if the folder doesn't already exist in workspace, its now created
shutil.move(filename, os.path.join(move_dir, "_".join(tail_list[1:])))
print("Moved file '{0}' ".format(filename))
print("Moved all files!")
return
except IndexError:
pass
# joins columns and saves output
f = numpy.column_stack((stn_id, dattim, air_temp))
g = []
name = date + '_KPHX' + '.csv'
api_outname = os.path.join(mwdir, name)
head = 'stn_id, dattim, air_temp'
with open(api_outname, 'wb+') as api_work:
for line in f:
g.append(line)
numpy.savetxt(api_work, g, fmt='%s', delimiter=',', header=head)
print 'Data downloaded from mesowest API!'
# Locate days where high air temperature is above 104 Fahrenheit from csv files of weather station data.
stations = core.list_files(False, mwdir, 'KPHX.csv', 'days.csv')
for year in stations:
with open(year) as annum:
path, filename = os.path.split(year)
year_name = filename[0:4]
print year_name
temp = csv.reader(annum)
data = [row for row in temp]
begin = 0
highT = []
high2 = []
high_spot = []
output = []
# create highT
for h in range(len(data)):
try:
use a custom delimiter by setting "delim", and set "recursive" to True
if you need to do many directories deep and do not mind renaming files
"""
for filename in filelist:
head,tail = os.path.split(filename)
tail_list = tail.split(delim)
move_dir = os.path.join(head, tail_list[0])
if not os.path.exists(move_dir):
os.makedirs(move_dir)
if recursive:
shutil.move(filename, os.path.join(move_dir, "_".join(tail_list[1:])))
else:
shutil.move(filename, os.path.join(move_dir, "_".join(tail_list)))
print("Moved file '{0}' ".format(filename))
print("Moved all files!")
return
if __name__ == "__main__":
filelist = core.list_files(False, r"C:\Users\jwely\Desktop\troubleshooting\lauren_organize")
sort(filelist)
use a custom delimiter by setting "delim", and set "recursive" to True
if you need to do many directories deep and do not mind renaming files
"""
for filename in filelist:
head, tail = os.path.split(filename)
tail_list = tail.split(delim)
move_dir = os.path.join(head, tail_list[0])
if not os.path.exists(move_dir):
os.makedirs(move_dir)
if recursive:
shutil.move(filename,
os.path.join(move_dir, "_".join(tail_list[1:])))
else:
shutil.move(filename, os.path.join(move_dir, "_".join(tail_list)))
print("Moved file '{0}' ".format(filename))
print("Moved all files!")
return
if __name__ == "__main__":
filelist = core.list_files(
False, r"C:\Users\jwely\Desktop\troubleshooting\lauren_organize")
sort(filelist)
# only save output if continuous is true or is last raster in series
if continuous is True or i == (len(rasterlist[1:]) - 1):
# create output name and save it
if outdir is None:
this_outdir = os.path.dirname(araster)
else:
this_outdir = outdir
# update the figure
rastfig.update_fig(outrast)
outpath = core.create_outname(this_outdir, araster, "gft", "tif")
print("Filled gaps in {0}".format(os.path.basename(araster)))
outrast = outrast.astype(numpy_datatype)
from_numpy(outrast, new_meta, outpath, NoData_Value)
output_filelist.append(outpath)
# prepare for next time step by setting current to old
old_rast = new_rast
return output_filelist
if __name__ == "__main__":
from null_set_range import *
rastdir = r"C:\Users\jwely\Desktop\troubleshooting\Bender_TX_data\2010-11"
rastlist = core.list_files(True, rastdir,["LST"], ["gft"])
outlist = gap_fill_temporal(rastlist, NoData_Value = -1)
# author: Lauren Makely
# organization: Clark Nexsen
# date: May 19, 2015
from dnppy import core
import arcpy
import os
works = "V:\\Projects\\5646_GAARNG_SUE_Survey_RC\\Development\\Working\\LMM"
arcpy.env.workspace = "V:\\Projects\\5646_GAARNG_SUE_Survey_RC\\Development\\Working\\LMM"
clipfiles = core.list_files(False, works, ".shp",[".prj", ".clf", '.dbf', '.sbx', '.sbn', '.shx', '.xml'])
for i in clipfiles:
head, tail = os.path.split(i)
clipto = works + "\\Cedartown_Inst.shp"
outs = "V:\\Projects\\5646_GAARNG_SUE_Survey_RC\\Development\\Working\\LMM\\Clipped" + "\\" + tail
cluster_tolerance="#"
arcpy.Clip_analysis(i,clipto,outs,cluster_tolerance)
# Help: batch clips features to a defined shape
# workspace folder with data to be clipped
# outspace folder for clipped data to be placed
# clipto file to clip features to with extension
# tolerance cluster tolerance which is optional (use "#") if no input
def batch_clip(workspace,outspace, clipto, tolerance):
from dnppy import core
import arcpy
import os
# only save output if continuous is true or is last raster in series
if continuous is True or i == (len(rasterlist[1:]) - 1):
# create output name and save it
if outdir is None:
this_outdir = os.path.dirname(araster)
else:
this_outdir = outdir
# update the figure
rastfig.update_fig(outrast)
outpath = core.create_outname(this_outdir, araster, "gft", "tif")
print("Filled gaps in {0}".format(os.path.basename(araster)))
outrast = outrast.astype(numpy_datatype)
from_numpy(outrast, new_meta, outpath, NoData_Value)
output_filelist.append(outpath)
# prepare for next time step by setting current to old
old_rast = new_rast
return output_filelist
if __name__ == "__main__":
rastdir = r"C:\Users\jwely\Desktop\troubleshooting\Bender_TX_data\2010-11"
rastlist = core.list_files(True, rastdir, ["LST"], ["gft"])
outlist = gap_fill_temporal(rastlist, NoData_Value=-1)
except IndexError:
pass
# joins columns and saves output
f = numpy.column_stack((stn_id, dattim, air_temp))
g = []
name = date + '_KPHX' + '.csv'
api_outname = os.path.join(mwdir, name)
head = 'stn_id, dattim, air_temp'
with open(api_outname, 'wb+') as api_work:
for line in f:
g.append(line)
numpy.savetxt(api_work, g, fmt='%s', delimiter=',', header=head)
print 'Data downloaded from mesowest API!'
# Locate days where high air temperature is above 104 Fahrenheit from csv files of weather station data.
stations = core.list_files(False, mwdir, 'KPHX.csv', 'days.csv')
for year in stations:
with open(year) as annum:
path, filename = os.path.split(year)
year_name = filename[0:4]
print year_name
temp = csv.reader(annum)
data = [row for row in temp]
begin = 0
highT = []
high2 = []
high_spot = []
output = []
# create highT
for h in range(len(data)):
try: