Joe Kington joferkington

## download_mosaic_series.py
#!/usr/bin/env python
"""
# Copyright 2019 Planet Labs, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#

## download_mosaic_assets.py
#! /usr/bin/env python3

# Copyright 2023 Planet Labs, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#

## arrowed_spines.py
import matplotlib.pyplot as plt

def arrowed_spines(ax=None, arrow_length=20, labels=('', ''), arrowprops=None):
    xlabel, ylabel = labels
    if ax is None:
        ax = plt.gca()
    if arrowprops is None:
        arrowprops = dict(arrowstyle='<|-', facecolor='black')

    for i, spine in enumerate(['left', 'bottom']):

## yo_dawg.py
import matplotlib.pyplot as plt
import numpy as np

def main():
    t = np.linspace(0, 4*np.pi, 1000)
    fig, ax = plt.subplots()
    ax.plot(t, np.cos(t))
    ax.plot(t, np.sin(t))

    inception(inception(inception(fig)))

## chunked_hdf.py
import sys
import h5py

def main():
    data = read()

    if sys.argv[1] == 'x':
        x_slice(data)
    elif sys.argv[1] == 'z':
        z_slice(data)

## data.csv

          
            931
            Oxfordshire
            9314125
            123255
            Larkmead School
            Abingdon
            125
            124
            20
            SUPP
            8

            
              931
              Oxfordshire
              9314126
              123256
              John Mason School
              Abingdon
              164
              164
              25
              6
              16

            
              931
              Oxfordshire
              9314127
              123257
              Fitzharrys School
              Abingdon
              150
              149
              9
              0
              11

            
              931
              Oxfordshire
              9316076
              123298
              Our Lady's Abingdon
              Abingdon
              57
              57
              SUPP
              SUPP
              16

## projection.py
import matplotlib
from matplotlib.axes import Axes
from matplotlib.patches import Circle
from matplotlib.path import Path
from matplotlib.ticker import NullLocator, Formatter, FixedLocator
from matplotlib.transforms import Affine2D, BboxTransformTo, Transform
from matplotlib.projections import register_projection
import matplotlib.spines as mspines
import matplotlib.axis as maxis
import matplotlib.pyplot as plt

## mpl_contour_clipping_example.py
# There are two ways to clip data to irregular boundaries.
# One uses a masked array (and is most useful for "real" data)
# The other uses set_clip_path (and is most useful for graphics)
# This demonstrates the first (masked array)
import matplotlib.pyplot as plt
import scipy.ndimage
import numpy as np

import skimage.draw

## point_drag_add_delete.py
import numpy as np
import matplotlib.pyplot as plt

class DrawDragPoints(object):
    """
    Demonstrates a basic example of the "scaffolding" you need to efficiently
    blit drawable/draggable/deleteable artists on top of a background.
    """
    def __init__(self):
        self.fig, self.ax = self.setup_axes()

## mold_spores.py
"""
Silly auto-generated art. Meant to look like some sort of mold spores.
Deliberately slow to render -- meant to look good at high-res.
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
from matplotlib.collections import LineCollection
	#!/usr/bin/env python
	"""
	# Copyright 2019 Planet Labs, Inc.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	#! /usr/bin/env python3

	# Copyright 2023 Planet Labs, Inc.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	import matplotlib.pyplot as plt

	def arrowed_spines(ax=None, arrow_length=20, labels=('', ''), arrowprops=None):
	xlabel, ylabel = labels
	if ax is None:
	ax = plt.gca()
	if arrowprops is None:
	arrowprops = dict(arrowstyle='<\|-', facecolor='black')

	for i, spine in enumerate(['left', 'bottom']):
	import matplotlib.pyplot as plt
	import numpy as np

	def main():
	t = np.linspace(0, 4*np.pi, 1000)
	fig, ax = plt.subplots()
	ax.plot(t, np.cos(t))
	ax.plot(t, np.sin(t))

	inception(inception(inception(fig)))
	import sys
	import h5py

	def main():
	data = read()

	if sys.argv[1] == 'x':
	x_slice(data)
	elif sys.argv[1] == 'z':
	z_slice(data)
931	Oxfordshire	9314125	123255	Larkmead School	Abingdon	125	124	20	SUPP	8
931	Oxfordshire	9314126	123256	John Mason School	Abingdon	164	164	25	6	16
931	Oxfordshire	9314127	123257	Fitzharrys School	Abingdon	150	149	9	0	11
931	Oxfordshire	9316076	123298	Our Lady's Abingdon	Abingdon	57	57	SUPP	SUPP	16
	import matplotlib
	from matplotlib.axes import Axes
	from matplotlib.patches import Circle
	from matplotlib.path import Path
	from matplotlib.ticker import NullLocator, Formatter, FixedLocator
	from matplotlib.transforms import Affine2D, BboxTransformTo, Transform
	from matplotlib.projections import register_projection
	import matplotlib.spines as mspines
	import matplotlib.axis as maxis
	import matplotlib.pyplot as plt
	# There are two ways to clip data to irregular boundaries.
	# One uses a masked array (and is most useful for "real" data)
	# The other uses set_clip_path (and is most useful for graphics)
	# This demonstrates the first (masked array)
	import matplotlib.pyplot as plt
	import scipy.ndimage
	import numpy as np

	import skimage.draw
	import numpy as np
	import matplotlib.pyplot as plt

	class DrawDragPoints(object):
	"""
	Demonstrates a basic example of the "scaffolding" you need to efficiently
	blit drawable/draggable/deleteable artists on top of a background.
	"""
	def __init__(self):
	self.fig, self.ax = self.setup_axes()
	"""
	Silly auto-generated art. Meant to look like some sort of mold spores.
	Deliberately slow to render -- meant to look good at high-res.
	"""
	import numpy as np
	import matplotlib.pyplot as plt
	import matplotlib.colors as mcolors
	from matplotlib.collections import LineCollection