histogram

I am working on Google Tensorboard, and I'm feeling confused about the meaning of Histogram Plot. I read the tutorial, but it seems unclear to me. I really appreciate if anyone could help me figure out the meaning of each axis for Tensorboard Histogram Plot. Sample histogram from TensorBoard marc_alain I came across this question earlier, while also seeking information on how to interpret the histogram plots in TensorBoard. For me, the answer came from experiments of plotting known distributions. So, the conventional normal distribution with mean = 0 and sigma = 1 can be produced in TensorFlow

I want to get a list of the data contained in a histogram bin. I am using numpy, and Matplotlib. I know how to traverse the data and check the bin edges. However, I want to do this for a 2D histogram and the code to do this is rather ugly. Does numpy have any constructs to make this easier? For the 1D case, I can use searchsorted(). But the logic is not that much better, and I don’t really want to do a binary search on each data point when I don’t have to. Most of the nasty logic is due to the bin boundary regions. All regions have boundaries like this: [left edge, right edge). Except the last

I am plotting a histogram, and I have three datasets which I want to plot together, each one with different colours and linetype (dashed, dotted, etc). I am also giving some transparency, in order to see the overlapping bars. The point is that I would like the edge of each bar not to become transparent as the inner part does. Here is an example: import matplotlib.pyplot as plt import numpy as np x = np.random.random(20) y =np.random.random(20) z= np.random.random(20) fig = plt.figure() ax = fig.add_subplot(111) ax.hist(x, bins=np.arange(0, 1, 0.1), ls='dashed', alpha = 0.5, lw=3, color= 'b')

I use matplotlib's method hexbin to compute 2d histograms on my data. But I would like to get the coordinates of the centers of the hexagons in order to further process the results. I got the values using get_array() method on the result, but I cannot figure out how to get the bins coordinates. I tried to compute them given number of bins and the extent of my data but i don't know the exact number of bins in each direction. gridsize=(10,2) should do the trick but it does not seem to work. Any idea? user1868739 I think this works. from __future__ import division import numpy as np import math

I have an array with values, and I want to create a histogram of it. I am mainly interested in the low end numbers, and want to collect every number above 300 in one bin. This bin should have the same width as all other (equally wide) bins. How can I do this? Note: this question is related to this question: Defining bin width/x-axis scale in Matplotlib histogram This is what I tried so far: import matplotlib.pyplot as plt import numpy as np def plot_histogram_01(): np.random.seed(1) values_A = np.random.choice(np.arange(600), size=200, replace=True).tolist() values_B = np.random.choice(np

I have plotted a histogram in Jupyter (Python 2) and was expecting to see the outlines of my bars but this is not the case. I'm using the following code: import matplotlib.pyplot as plt from numpy.random import normal gaussian_numbers = normal(size=1000) plt.hist(gaussian_numbers) plt.title("Gaussian Histogram") plt.xlabel("Value") plt.ylabel("Frequency") plt.show() It looks like either your linewidth was set to zero or your edgecolor was set to 'none' . Matplotlib changed the defaults for these in 2.0. Try using: plt.hist(gaussian_numbers, edgecolor='black', linewidth=1.2) 来源： https:/