def set_mpl_backend():
from matplotlib import rcParams, rcdefaults
# Standardize mpl setup
rcdefaults()
# Set default backend to Agg. The Qt and Jupyter glue applications don't
# use the default backend, so this is just to make sure that importing
# matplotlib doesn't cause errors related to the MacOSX or Qt backend.
rcParams['backend'] = 'Agg'
# Disable key bindings in matplotlib
for setting in list(rcParams.keys()):
if setting.startswith('keymap'):
rcParams[setting] = ''
# Set the MPLBACKEND variable explicitly, because ipykernel uses the lack of
# MPLBACKEND variable to indicate that it should use its own backend, and
# this in turn causes some rcParams to be changed, causing test failures
# etc.
os.environ['MPLBACKEND'] = 'Agg'
# Explicitly switch backend
from matplotlib.pyplot import switch_backend
switch_backend('agg')
def set_mpl_backend():
from matplotlib import rcParams, rcdefaults
# Standardize mpl setup
rcdefaults()
# Set default backend to Agg. The Qt and Jupyter glue applications don't
# use the default backend, so this is just to make sure that importing
# matplotlib doesn't cause errors related to the MacOSX or Qt backend.
rcParams['backend'] = 'Agg'
# Disable key bindings in matplotlib
for setting in list(rcParams.keys()):
if setting.startswith('keymap'):
rcParams[setting] = ''
# The following is a workaround for the fact that Matplotlib checks the
# rcParams at import time, not at run-time. This is fixed in Matplotlib>=2.1
from matplotlib import get_backend
from matplotlib import backends
backends.backend = get_backend()
# Set the MPLBACKEND variable explicitly, because ipykernel uses the lack of
# MPLBACKEND variable to indicate that it should use its own backend, and
# this in turn causes some rcParams to be changed, causing test failures
# etc.
os.environ['MPLBACKEND'] = 'Agg'
def set_mpl_backend():
try:
from qtpy import PYQT5 # noqa
except Exception:
# If Qt isn't available, we don't have to worry about
# setting the backend
return
from matplotlib import rcParams, rcdefaults
# standardize mpl setup
rcdefaults()
rcParams['backend'] = 'Qt5Agg'
# disable key bindings in matplotlib
for setting in list(rcParams.keys()):
if setting.startswith('keymap'):
rcParams[setting] = ''
# The following is a workaround for the fact that Matplotlib checks the
# rcParams at import time, not at run-time. I have opened an issue with
# Matplotlib here: https://github.com/matplotlib/matplotlib/issues/5513
from matplotlib import get_backend
from matplotlib import backends
backends.backend = get_backend()
def __ein_get_matplotlib_params():
if __ein_matplotlib_available:
import json
print(json.dumps([k for k in __ein_rcParams.keys()]))
else:
raise RuntimeError(
"Matplotlib not installed in this instance of python!")
def __init__(self, box, title = 'Window', padding = 0.10, toolbar = False):
"""
width & height in inches
"""
self._box = box
self._padding = padding
w, h = box.size()
padding = 0.10
w += 2.0 * padding
h += 2.0 * padding
orig_toolbar_settig = mpl.rcParams['toolbar']
if not toolbar:
mpl.rcParams['toolbar'] = 'None'
self._fig = plt.figure(figsize=(w,h))
self._fig.subplots_adjust(
left = 0.0,
bottom = 0.0,
right = 1.0,
top = 1.0,
wspace = 0.0,
hspace = 0.0,
)
self._fig.canvas.set_window_title(title)
x = padding
y = padding
box._render(self._fig, x, y)
# restore default rcparams
mpl.rcParams['toolbar'] = orig_toolbar_settig
#----------------------------------------------------------------------
# disable the default keymap
self._rc_keys_to_disable = []
for key in rcParams.keys():
if u'keymap' in key:
self._rc_keys_to_disable.append(key)
rcParams[key] = ''
self._rc_keys_disabled = {}
def new_figure_manager_given_figure(num, figure):
"""
Create a new figure manager instance for the given figure.
"""
from matplotlib._pylab_helpers import Gcf
def closer(event):
Gcf.destroy(num)
canvas = Canvas(figure)
if 'nbagg.transparent' in set(rcParams.keys()) and rcParams['nbagg.transparent']:
figure.patch.set_alpha(0)
manager = FigureManager(canvas, num)
if is_interactive():
manager.show()
figure.canvas.draw_idle()
canvas.mpl_connect('close_event', closer)
return manager
def new_figure_manager_given_figure(num, figure):
"""
Create a new figure manager instance for the given figure.
"""
from matplotlib._pylab_helpers import Gcf
def closer(event):
Gcf.destroy(num)
canvas = FigureCanvasNbAgg(figure)
if 'nbagg.transparent' in set(rcParams.keys()) and rcParams['nbagg.transparent']:
figure.patch.set_alpha(0)
manager = FigureManagerNbAgg(canvas, num)
if is_interactive():
manager.show()
figure.canvas.draw_idle()
canvas.mpl_connect('close_event', closer)
return manager
def set_mpl_backend():
from matplotlib import rcParams, rcdefaults
# Standardize mpl setup
rcdefaults()
# Set default backend to Agg. The Qt and Jupyter glue applications don't
# use the default backend, so this is just to make sure that importing
# matplotlib doesn't cause errors related to the MacOSX or Qt backend.
rcParams['backend'] = 'Agg'
# Disable key bindings in matplotlib
for setting in list(rcParams.keys()):
if setting.startswith('keymap'):
rcParams[setting] = ''
# The following is a workaround for the fact that Matplotlib checks the
# rcParams at import time, not at run-time. This is fixed in Matplotlib>=2.1
from matplotlib import get_backend
from matplotlib import backends
backends.backend = get_backend()
'suptitle.size', 'title.size', 'leftlabel.size', 'toplabel.size',
'rightlabel.size', 'bottomlabel.size'), # the 'large' fonts
'linewidth': ('axes.linewidth', 'geoaxes.linewidth', 'hatch.linewidth',
'xtick.major.width', 'ytick.major.width'),
'margin': ('axes.xmargin', 'axes.ymargin'),
'grid': ('axes.grid', ),
'gridminor': ('axes.gridminor', ),
'geogrid': ('axes.geogrid', ),
'ticklen': ('xtick.major.size', 'ytick.major.size'),
'tickdir': ('xtick.direction', 'ytick.direction'),
'tickpad': ('xtick.major.pad', 'xtick.minor.pad', 'ytick.major.pad',
'ytick.minor.pad'),
}
# Names of the new settings
RC_PARAMNAMES = {*rcParams.keys()}
RC_SHORTNAMES = {
'abc', 'span', 'share', 'align', 'tight', 'fontname', 'cmap', 'lut',
'cycle', 'rgbcycle', 'alpha', 'facecolor', 'color', 'small', 'large',
'linewidth', 'margin', 'grid', 'gridminor', 'geogrid', 'ticklen',
'tickdir', 'tickpad', 'tickratio', 'ticklenratio', 'gridratio', 'reso',
'land', 'ocean', 'lakes', 'coast', 'borders', 'innerborders', 'rivers',
'nbsetup', 'format', 'autosave', 'autoreload'
}
RC_CUSTOMNAMES = {
'axes.formatter.zerotrim',
'axes.formatter.timerotation',
'axes.gridminor',
'axes.geogrid',
'axes.alpha',
'image.levels',
def marker():
return "lines.marker" in rcParams.keys()
def present():
return "lines.markerfacecolor" in rcParams.keys()
from copy import deepcopy
from matplotlib import pyplot as plt
from eosDriver import kentaDataTofLogRhoFit1, kentaDataTofLogRhoFit2, getTRollFunc
from matplotlib import rcParams, rc
import numpy
import eosDriver
import plot_defaults
#plt.rcParams['legend.fontsize'] = 18
print rcParams.keys()
#rcParams['ytick.major.pad'] = 5
#rcParams['xtick.major.pad'] = 10
#rcParams['figure.subplot.left'] = 0.13
##### change a few standard settings
rcParams['xtick.major.size'] = 13
rcParams['xtick.major.pad'] = 8
rcParams['xtick.minor.size'] = 7
rc('legend', fontsize=26) #16
rcParams['ytick.major.size'] = 13
rcParams['ytick.major.pad'] = 8
rcParams['ytick.minor.size'] = 7
fig = plt.figure(figsize=(10, 8))
fig.subplots_adjust(left=0.14)
fig.subplots_adjust(bottom=0.14)
fig.subplots_adjust(top=0.967)
fig.subplots_adjust(right=0.97)
##############################################################################
# Load Shen EOS for ye comparisons
##############################################################################
shen = eosDriver.eosDriver('/home/jeff/work/HShenEOS_rho220_temp180_ye65_version_1.1_20120817.h5')
ls220 = eosDriver.eosDriver('/home/jeff/work/LS220_234r_136t_50y_analmu_20091212_SVNr26.h5')
import numpy as np,pylab as pl,pandas as pd
import sys,h5py,urllib,zipfile,imageio,PIL
import tensorflow as tf
import tensorflow.keras.layers as tkl
from tensorflow_docs.vis import embed
from matplotlib import rcParams
rcParams['font.family']='serif'
#'light', 'normal','regular', 'book', 'medium', 'roman',
#'semibold', 'demibold', 'demi', 'bold', 'heavy', 'extra bold', 'black'
rcParams['font.weight']='heavy'
#'ultra-condensed', 'extra-condensed', 'condensed', 'semi-condensed', 'normal',
#'semi-expanded', 'expanded', 'extra-expanded', 'ultra-expanded'
rcParams['font.stretch']='extra-expanded'
pd.DataFrame([list(rcParams.keys()),list(rcParams.values())])\
.T.iloc[100:130]
seed_size=16; noise_dim=196; epochs=120
buffer_size=60000; batch_size=256
norm_img=tf.random.normal([1,noise_dim])
seed_imgs=tf.random.normal([seed_size,noise_dim])
clickhtml('Data')
(x,y),(_, _)=tf.keras.datasets.mnist.load_data()
x=x.reshape(x.shape[0],28,28,1).astype('float32')
print(x[0].shape,x.mean())
x[0][:28,15:20,:1].reshape(28*5)
