visualization

问题 I tried the following: #!/usr/bin/env python import keras from keras.models import model_from_yaml model_file_path = 'model-301.yaml' weights_file_path = 'model-301.hdf5' # Load network with open(model_file_path) as f: yaml_string = f.read() model = model_from_yaml(yaml_string) model.load_weights(weights_file_path) model.compile(optimizer='adagrad', loss='binary_crossentropy') # Visualize from keras.utils.visualize_util import plot However, this gives an error: Traceback (most recent call

问题 I tried the following: #!/usr/bin/env python import keras from keras.models import model_from_yaml model_file_path = 'model-301.yaml' weights_file_path = 'model-301.hdf5' # Load network with open(model_file_path) as f: yaml_string = f.read() model = model_from_yaml(yaml_string) model.load_weights(weights_file_path) model.compile(optimizer='adagrad', loss='binary_crossentropy') # Visualize from keras.utils.visualize_util import plot However, this gives an error: Traceback (most recent call

问题 How should the syntaxis be for changing the limits of the color range when plotting with quivers in matplotlib? I have the following code: PyPlot.ion() xlim(1, 64) ylim(1, 64) flechitas = quiver(x, y, EFx, EFy, sqrt((EFx.*EFx+EFy.*EFy)), pivot="middle", cmap="Blues") cb=colorbar(flechitas) Which produces an adecuate image but uses automatically detected range for the 5th argument (the color). In the manual of matplotlib it says that I can use the clim keyword but if I put it inside the

问题 I'm trying to display further images (ct-scan) using numpy/vtk as describe in this sample code (http://www.vtk.org/Wiki/VTK/Examples/Python/vtkWithNumpy) but I don't get it and don't know why. If someone could help me it would be kind. Here's my code : import vtk import numpy as np import os import cv, cv2 import matplotlib.pyplot as plt import PIL import Image DEBUG =True directory="splitted_mri/" w = 226 h = 186 d = 27 stack = np.zeros((w,d,h)) k=-1 #add the next picture in a differente

问题 Working on a google line chart. Having the problem that two of the values (T_Temperatur) And (T_Badende_per_Time) is inserted into the database at the same time with one submit. But not T_Lufttemperatur. That is creating problem with the chart, which is also showing the nulls. So this is my sql: This is the google chart: Code: <?php $con=mysql_connect("localhost","root","") or die("Failed to connect with database!!!!"); mysql_select_db("nih_bw", $con); $sth = mysql_query(" SELECT routines

问题 I'm looking for anything in python that I can use to do a nested proportional area chart in circles. Preferably something built with (or on top of) matplotlib. Here's an example of what such plot looks like for reference: 回答1: A nested circle diagram, where the circle area is proportional to the data could look as follows. It would take a sorted list or array of data and optionally the respective labels as input and plot a couple of circles. import numpy as np import matplotlib.pyplot as plt

问题 I find violin plots very informative and useful, I use python library 'seaborn'. However, when applied to positive values, they nearly always show negative values at the lower end. I find this really misleading, especially when working with real-life datasets. In the official documentation of seaborn https://seaborn.pydata.org/generated/seaborn.violinplot.html one can see examples with "total_bill" and "tip" which can not be negative. The violin plots show negative values, however. For

问题 I've written an SQL query that tells me the names of the previous week's top 10 most frequent Alarms. And I've written a query that takes those top 10 alarms and provides a YTD weekly totals for each of those alarms. Now I'm looking to create a panel of sparklines showing the YTD trend for each of the week's top 10 alarms. I got something resembling what I'd like, but I now need to make it "dynamic". i.e. to make it work without hardcoding the names of the alarms (since these will change with

问题 OpenCV has a limited amount of color maps. MatplotLib has many more color maps, but it is not straightforward to apply these colormaps to given OpenCV images. How to apply MatplotLib color maps from the page below to OpenCV images when using the Python API? This is similar to applying a custom colormap to a given image. https://matplotlib.org/examples/color/colormaps_reference.html 回答1: Answering my own question because I did not find an easy solution on StackOverflow: def apply_custom

问题 I am developing an app that helps to organize and visualize many PDF documents by topic/theme. I can upload and read a single PDF but I have difficulty in reading multiple PDF documents. For single PDF document: ui.R --- fileInput('file1', 'Choose PDF File', accept=c('.pdf')) --- server.R -------- library(pdftools) ------- mypdf<-reactive({ inFile <- input$file1 if (is.null(inFile)){ return(NULL) }else{ pdf_text(inFile$datapath) } }) To upload multiple PDF files, I have to use multiple = TRUE