def create_plot(time_data, title=''):
start_time, xlabels, xlabels_sec = time_data
fig, ax1 = interactive_subplots(figsize=(15, 9), constrained_layout=False)
fig.marker_enable()
def xdata_to_timestamp(sec):
dt = start_time + datetime.timedelta(seconds=sec)
return dt.strftime('%m/%d %H:%M')
ax1.marker_set_params(xformat=xdata_to_timestamp,
xreversed=False,
show_xlabel=True)
ax1.grid(linewidth=0.5, linestyle='-')
ax1.set_title(title)
ax1.set_xticks(xlabels_sec)
ax1.set_xticklabels(xlabels)
ax1.tick_params(labelsize='small')
ax1.set_ylabel('PM2.5 ($\mu g / m^3$)')
ax1.axhspan(0, 12, color='green', alpha=0.3)
ax1.axhspan(12, 35, color='yellow', alpha=0.3)
ax1.axhspan(35, 55, color='orange', alpha=0.35)
ax1.axhspan(55, 150, facecolor='red', alpha=0.3)
ax1.axhspan(150, 250, facecolor='purple', alpha=0.3)
ax1.axhspan(250, 500, facecolor='maroon', alpha=0.3)
return ax1
def __init__(self, site, days=3):
icon = dir_ / 'icons/location.png'
self.fig, (self.ax1,
self.ax2) = interactive_subplots(2,
1,
figsize=(20, 10),
constrained_layout=True,
icon=str(icon),
title='Weather History')
self.site = site
self.days = days
self.qapp = self.fig.qapp
self.app = self.fig.app
self.par1 = self.ax1.twinx()
self.par2 = self.ax2.twinx()
self.fig.marker_enable(show_xlabel=True, top_axes=(self.ax1, self.ax2))
self.ax2.marker_link(self.ax1)
self.app.add_toolbar_actions(
(dir_ / 'icons/location.png', 'Location', 'Set Station',
self.set_station),
(dir_ / 'icons/refresh.png', 'Update', 'Update', self.plot))
self.app.showMaximized()
self.plot(site)
from markerplot import interactive_subplots
dir_ = Path(__file__).parent
#matplotlib.use('Qt4Agg')
def xdata_to_theta(x, y, **kwargs):
return '{:.3f}\n$\\theta$={:.3f}'.format(y, x * (180 / np.pi))
fig, axes = interactive_subplots(1,
1,
subplot_kw=dict(polar=True),
show_xlabel=True,
yformat=xdata_to_theta,
wrap=True,
show_xline=True)
axes.set_thetamin(-180)
axes.set_thetamax(180)
axes.set_theta_direction(-1)
axes.set_theta_zero_location("N")
axes.set_thetagrids(np.hstack(
(np.arange(0, 180 + 30, 30), (np.arange(30, 180, 30) * -1)[::-1])),
fontsize='small')
# print(axes.InvertedPolarTransform(axes).transform)
# print(axes.transData.transform((0,1.5)))
#print(axes.__dict__)
from pathlib import Path import matplotlib import matplotlib.pyplot as plt import numpy as np #from fig2pptx import fig2pptx #import rftools import markerplot from markerplot import interactive_subplots from matplotlib import ticker dir_ = Path(__file__).parent fig, (ax1, ax2, ax3) = interactive_subplots(3, 1, figsize=(10,5), constrained_layout=True, dpi=100, show_xlabel=True, show_ylabel=True, link_all=False) ax1.grid(linewidth=0.5, linestyle='-') ax2.grid(linewidth=0.5, linestyle='-') ax3.grid(linewidth=0.5, linestyle='-') #fig.marker_enable(show_xline=True, show_xlabel=True, wrap=True, inherit_ticker=True, link_all=True) x1 = np.linspace(-2*np.pi, 2*np.pi, 100) l1 = ax1.plot(x1, np.sin(x1), label='sin') ax1.plot(x1, 2*x1, label='cos') ax2.plot(x1, np.sin(x1), label='sin', linewidth=1) ax3.plot(x1, np.cos(x1), label='cos') ax1.marker_add(xd=1.5) ax1.marker_add(xd=-1.5)
import markerplot
from matplotlib import ticker
from rfnetwork import Sparam, format_smithchart, db20
from markerplot import interactive_subplots
dir_ = Path(__file__).parent
matplotlib.use('Qt4Agg')
tga2598 = Sparam(dir_ / r'data/TGA2598-SM.s2p')
qpl9057 = Sparam(dir_ / r'data/QPL9057.s2p')
def yformat(x,y,mxd):
return '{:.3f}'.format(mxd)
fig, ax1 = interactive_subplots(1, 1, figsize=(10,5), constrained_layout=True, yformat=yformat)
format_smithchart(ax1, admittance=False, vswr_cirlce=True, lines=[5, 2, 1, 0.5, 0.2, 0])
line = ax1.plot(np.real(tga2598.sdata[:,0,0]), np.imag(tga2598.sdata[:,0,0]), marker_xd=tga2598.freq/1e9, label='tga2598')
line = ax1.plot(np.real(qpl9057.sdata[:,0,0]), np.imag(qpl9057.sdata[:,0,0]), marker_xd=qpl9057.freq/1e9, label='qpl9057')
fig, ax = interactive_subplots(1, 1, figsize=(10,5), constrained_layout=True, show_xlabel=True)
ax.marker_link(ax1)
ax.grid(True)
ax.plot(tga2598.freq/1e9, db20(tga2598.sdata[:,0,0]), label='tga2598')
ax.plot(qpl9057.freq/1e9, db20(qpl9057.sdata[:,0,0]), label='qpl9057')
from pathlib import Path
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from markerplot import interactive_subplots
dir_ = Path(__file__).parent
matplotlib.use('Qt4Agg')
fig1, ax1 = interactive_subplots(1, 1, constrained_layout=True, figsize=(10,5))
ax1.grid(linewidth=0.5, linestyle='-')
fig2, ax2 = interactive_subplots(1, 1, constrained_layout=True, figsize=(10,5))
ax2.grid(linewidth=0.5, linestyle='-')
par1 = ax1.twinx()
## bring ax1 to top instead of par1
print(id(ax1))
fig1.marker_enable(show_xline=True, show_xlabel=False, top_axes=ax1)
fig2.marker_enable(show_xline=True, show_xlabel=False)
## link all markers between ax1 and ax2 (interactive only)
ax1.marker_link(ax2)
x1 = np.linspace(-2*np.pi, 2*np.pi, 100)
x2 = np.linspace(-6*np.pi, 6*np.pi, 100)
from pathlib import Path import matplotlib import matplotlib.pyplot as plt import numpy as np from markerplot import interactive_subplots dir_ = Path(__file__).parent fig, (ax1, ax2) = interactive_subplots(2, 1, constrained_layout=True, dpi=100, figsize=(10,5)) ax1.grid(linewidth=0.5, linestyle='-') ax2.grid(linewidth=0.5, linestyle='-') par1 = ax1.twinx() par2 = ax2.twinx() fig.marker_enable(show_xline=True, show_xlabel=False, link_all=True) x1 = np.linspace(-2*np.pi, 2*np.pi, 100) x2 = np.linspace(-6*np.pi, 6*np.pi, 100) ax1.plot(x1, np.sin(x1), label='sin(x)') par1.plot(x1, np.cos(x1), label='cos(x)') ax2.plot(x1, np.sin(x1), label='sin(x)') par2.plot(x1, np.cos(x1), label='cos(x)')
from pathlib import Path, PurePath
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
#from fig2pptx import fig2pptx
#import rftools
import markerplot
from markerplot import interactive_subplots
from matplotlib import ticker
from rfnetwork import Sparam
dir_ = Path(__file__).parent
fig, (ax1) = interactive_subplots(1,
1,
figsize=(10, 5),
constrained_layout=True)
ax1.grid(linewidth=0.5, linestyle='-')
plotted_sp = []
def drop_event_handler(text):
p = Path(text)
p = p.relative_to(r"file:\\")
s = Sparam(str(p))
plotted_names = [sp.name for (sp, ax, lines) in plotted_sp]
print(plotted_names, s.name)
if s.name not in plotted_names:
ax, lines = s.plot(axes=ax1, label=p.stem)