axes

I have a tensor of shape (30, 116, 10) , and I want to swap the first two dimensions, so that I have a tensor of shape (116, 30, 10) I saw that numpy as such a function implemented ( np.swapaxes ) and I searched for something similar in tensorflow but I found nothing. Do you have any idea? keveman tf.transpose provides the same functionality as np.swapaxes , although in a more generalized form. In your case, you can do tf.transpose(orig_tensor, [1, 0, 2]) which would be equivalent to np.swapaxes(orig_np_array, 0, 1) . 来源： https://stackoverflow.com/questions/38212205/how-do-i-swap-tensors-axes

I need to make a candlestick chart (something like this) using some stock data. For this I want to use the function matplotlib.finance.candlestick() . To this function I need to supply quotes and " an Axes instance to plot to ". I created some sample quotes as follows: quotes = [(1, 5, 6, 7, 4), (2, 6, 9, 9, 6), (3, 9, 8, 10, 8), (4, 8, 8, 9, 8), (5, 8, 11, 13, 7)] I now also need an Axes instance though, at which I am a bit lost. I created plots before using matplotlib.pyplot. I think I now need to do something with matplotlib.axes though, but I am unsure what exactly. Could anybody help me

I have made my GUI using GUIDE. I have an axes (tag=axes1). An image is displayed in the axes. When i click on the image(inside axes) I need to get the coordinates. I get the coordinate values when image is not added to axes.But image is displayed in axes do no obtain the axes. How to get the coordinates? Let's assume that you've plotted the image with handle imageHandle that: imageHandle = imshow(imageObj); You should assign the ButtonDownFcn to the image handle not the axes handle that: set(imageHandle,'ButtonDownFcn',@ImageClickCallback); and get the mouse coordinates from this function as

I want to to create a figure using matplotlib where I can explicitly specify the size of the axes, i.e. I want to set the width and height of the axes bbox. I have looked around all over and I cannot find a solution for this. What I typically find is how to adjust the size of the complete Figure (including ticks and labels), for example using fig, ax = plt.subplots(figsize=(w, h)) This is very important for me as I want to have a 1:1 scale of the axes, i.e. 1 unit in paper is equal to 1 unit in reality. For example, if xrange is 0 to 10 with major tick = 1 and x axis is 10cm, then 1 major tick

How do I obtain all the axes handles in a figure handle? Given the figure handle hf , I found that get(hf, 'children') may return the handles of all axes. However, the Matlab Help suggests that it may return more than just the axes handles: Children of the figure . A vector containing the handles of all axes, user-interface objects displayed within the figure. You can change the order of the handles and thereby change the stacking of the objects on the display. Is there any way to obtain only the axes handle in the figure handle? Or how do I know if the handle returned by get(hf, 'children')

I'm trying to scale the x axis of a plot with math.log(1+x) instead of the usual 'log' scale option, and I've looked over some of the custom scaling examples but I can't get mine to work! Here's my MWE: import matplotlib.pyplot as plt import numpy as np import math from matplotlib.ticker import FormatStrFormatter from matplotlib import scale as mscale from matplotlib import transforms as mtransforms class CustomScale(mscale.ScaleBase): name = 'custom' def __init__(self, axis, **kwargs): mscale.ScaleBase.__init__(self) self.thresh = None #thresh def get_transform(self): return self