histogram

I have two data lists: x=[2006, 2007, 2008, 2009, 2010] y=[700, 560, 450, 500, 570] I needed to build a regular histogram (it was not difficult). But I also need a three-dimensional diagram, as in the figure . I tried various options (for example, bar3d), but it turns out not that. Help, please. import matplotlib.pyplot as plt import numpy as np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') x= [float(i) for i in input('Input x ').split()] y= [float(i) for i in input('Input y ').split()] hist, xedges, yedges = np.histogram2d(x, y, bins=(4,4)) xpos, ypos = np.meshgrid(xedges[:-1]

I am using the hist-function to analyze some data I generated. For an analysis-assay I would like to precisely control the number of histogram bins. I know the "break-argument" and I can see that in many cases the number of bins is in a direct relationship to the number of breaks (i.e. no_bins = no_breaks + 1). Due to R's algorithm this is not always the case. Is there a way to force R to output a specific number of bins? Let me know if I need to specify further details. Best and many thanks! From ?hist , there are several options for controlling the bins through the breaks argument. breaks

I am saving two separate figures, that each should contain 2 plots together. The problem is that the first figure is ok, but the second one, does not gets overwritten on the new plot but on the previous one, but in the saved figure, I only find one of the plots : This is the first figure , and I get the first figure correctly : import scipy.stats as s import numpy as np import os import pandas as pd import openpyxl as pyx import matplotlib matplotlib.rcParams["backend"] = "TkAgg" #matplotlib.rcParams['backend'] = "Qt4Agg" #matplotlib.rcParams['backend'] = "nbAgg" import matplotlib.pyplot as

I have 400 files, each one contains about 500000 character, and those 500000 characters consists only from about 20 letters. I want to make a histogram indicating the most 10 letters used (x-axis) and number of times each letter is used (y-axis). how can i make it. beaker Since you have an array of uchar , you know that your elements will always be in the range 0:255 . After seeing Tamás Szabó's answer here I realized that the null character is exceedingly unlikely in a text file, so I will just ignore it and use the range 1:255 . If you expect to have null characters, you'll have to adjust

I have a dataset of images, where I create the histogram of every image and then I want to store (write) them into a file, so that for every new image I use as input, I compare the histogram of this image with the ones I already have in the file and find if they are identical. The code so far is this: import numpy as np import cv2 import os.path import glob import matplotlib.pyplot as plt import pickle index = {} #output dic out = { 1: {}, 2: {}, 3: {}, } for t in [1]: #load_files files = glob.glob(os.path.join("..", "data", "train", "Type_{}".format(t), "*.jpg")) no_files = len(files)

I am trying to make a gaussian fit on a function that is messy. I want to only fit the exterior outer shell (these are not just the max values at each x, because some of the max values will be too low too, because the sample size is low). from scipy.optimize import curve_fit def Gauss(x, a, x0, sigma, offset): return a * np.exp(-np.power(x - x0,2) / (2 * np.power(sigma,2))) + offset def fitNormal(x, y): popt, pcov = curve_fit(Gauss, x, y, p0=[np.max(y), np.median(x), np.std(x), np.min(y)]) return popt plt.plot(xPlot,yPlot, 'k.') plt.xlabel('x') plt.ylabel('y') plt.title('Y(x)') x,y = xPlot

I have a dataframe "table" like this: SAMPLE RANK VALUE CAT 3 N DOG 1 N FISH 4 Y ANT 2 N HORSE 5 N How can I JUST COLOR the 3rd histogram column, given that there is a "Y" in the VALUE column? I would like it to look like this: So far I have : table.plot('SAMPLE','RANK', hue="VALUE", palette={"Y": "r", "N": '0.75'}, kind='bar') but this does not work You may achieve the desired effect by mapping VALUE column to desired colors: colors = {'N':'#00BEC5', 'Y':'#F9746A'} df.sort_values('RANK', inplace=True) df.plot.bar(x='SAMPLE', y='RANK',color= df['VALUE'].map(colors)); 来源： https://stackoverflow