# all plotting functions return matplotlib figures from npyx.plot import plot_wvf, get_peak_chan u=234 # plot waveform, 2.8ms around templates center, on 16 channels around peak channel # (the peak channel is found automatically, no need to worry about finding it) fig = plot_wvf(dp, u...
Editing and plotting digitised figures A particularly useful feature ofmetaDigitise()is its ability to re-plot previously digitised figures and edit them. Lets assume that for some reason the user noticed that one of the groups in 002_Doe_2013_Fig1.png (versicolor) wasn't quite correctly place...
You should see a window with your widget transformed into a PyQtGraph plotting widget. Let's now create a function to make a simple plot of x and y data. python from PyQt5 import QtWidgets, uic from pyqtgraph import PlotWidget, plot import pyqtgraph as pg import sys # We need sys so...
from matplotlib.figure import Figure import io from flask import Flask, render_template, send_file, make_response, request app = Flask(__name__) import sqlite3 conn=sqlite3.connect('../sensorsData.db') curs=conn.cursor() # Retrieve LAST data from database def getLastData(): for row in...
A volcano plot in Fig. 2b was constructed by plotting −log10(q-values) of the statistically significant differential 552 proteoforms against log2(fold change). In the next step, unsupervised linear dimension reduction using principal component analysis (PCA) was performed using statistically ...
wheresolutionis the final 2-D mapping andYis our mapped 2-D values at each step of the iteration. Plotting the evolution ofYwhereY[-1]is our final 2-D mapping, we obtain (note how the algorithm behaves with early exaggeration on and off): ...
threshold effects (nonlinearity) in the relationship between exchange rate changes and trade balance, we begin by plotting a fractional polynomial regression line (with a 95% confidence interval) for Tunisia’s trade balance against the RER and RER variation (data in logs), respectively (see Fig....
Plotting the UVAE values against the absorption values at 1100 nm confirms the purer character of the earlier material. The same legend code as in Fig. 7 was applied. Full size image Finally, we studied the daylight transmission of these roundels (Fig. 9) and concluded that more daylight ...
import torch import cv2 import numpy as np from ultralytics.yolo.data.augment import LetterBox from ultralytics.yolo.engine.results import Results from ultralytics.yolo.utils import ops from ultralytics.yolo.utils.plotting import Annotator, colors, save_one_box from ultralytics.nn.autobackend im...
Plotting the cumulative frequency we can clearly see an inflection near the 384th barcode as expected (Figure 2; blue line). Figure 2. Cumulative frequency for SCRB-Seq cell barcodes. Blue line represents the position of the 384th cell which is close to the inflection point in the curve. ...