plot

问题 I'm new to machine learning and would like to setup a little sample using the k-nearest-Neighbor-method with the Python library Scikit . Transforming and fitting the data works fine but I can't figure out how to plot a graph showing the datapoints surrounded by their "neighborhood". The dataset I'm using looks like that: So there are 8 features, plus one "outcome" column. From my understanding, I get an array, showing the euclidean-distances of all datapoints, using the kneighbors_graph from

问题 I'm looking to make a fan chart type line plot in Python which resembles the Bank of England Interest Rate fan charts like this one: I'm quite well practiced with using matplotlib for standard line/bar/scatter plots, however this seems like it would require something of a more custom implementation. I've Google'd about and cannot seem to find any standard libraries for Python that do this sort of thing at all or even any code that describes how this might be done. Any help on how this could

问题 I have the following data frame dt(head,6) : I need to create a graph in which I have the years (2015, 2016, 2017, 2018, 2019) on the x-axis , different columns (W15, W16, W17, W18, W19 - each one relates to one year) on the y-axis. They are all should be grouped by the column TEAM. I tried using ggplot2 to no avail. 回答1: You need to convert your data from wide to long and then use ggplot . Look below; library(tidyverse) dt %>% pivot_longer(., -Team, values_to = "W", names_to = "Year") %>%

问题 I am working with the R programming language. I am trying to replicate the following tutorial with some fake data that I generated: https://plotly.com/r/dropdowns/. That is, I generated some fake data and made 4 scatter plots. Using the "plotly" library, I then want to "attach" these 4 plots together and let the user "toggle" (switch, shuffle) between these graphs. I have attached the code below: #load libraries library(plotly) library(MASS) library(dplyr) # create data x <- sample( LETTERS[1

问题 I'm struggling with a plot I want to make using a for-loop. I know it works when I add it after the loop (just a simple plot). But I want to try it in this other way. fib = ones(1:10); for k=3:10 hold on fib(k) = fib(k-1) + fib(k-2); plot(k,fib(k)) end hold off The output is a plot, but there are no points visible. 回答1: You need to specify a marker. The documentation says: If one of X or Y is a scalar and the other is either a scalar or a vector, then the plot function plots discrete points.

问题 If I type par(family='CM Roman') then I can get a plot to display with the Computer Modern font. However, when I try to save it as a PDF, it comes up as a blank document, unlike if I take out that line. How can I get it to save correctly as a PDF? Also, how can I use Latin Modern instead of Computer Modern? 回答1: This is how I did it in Windows: Install the extrafont package. Install Latin Modern fonts, e.g. from http://www.fontsquirrel.com/fonts/latin-modern-roman. Watch out, you need to

问题 I have used a linear discriminant analysis (LDA) to investigate how well a set of variables discriminates between 3 groups. I then used the plot.lda() function to plot my data on the two linear discriminants (LD1 on the x-axis and LD2 on the y-axis). I would now like to add the classification borders from the LDA to the plot. I cannot see a argument in the function that allows this. The partimat() function allows visualisation of the LD classification borders, but variables are used as the x

问题 I need to draw a broken x axis graph (e.g. the graph below) with existing data, my question is whether it's possible to use seaborn APIs to do that? 回答1: Not as pretty as I'd like but works. %matplotlib inline # If you are running this in a Jupyter Notebook. import seaborn as sns import numpy as np import matplotlib.pyplot as plt x = np.linspace(0, 20, 500) y = np.sin(x) f, (ax1, ax2) = plt.subplots(ncols=2, nrows=1, sharey=True) ax = sns.tsplot(time=x, data=y, ax=ax1) ax = sns.tsplot(time=x,

问题 I am making the following plot in matplotlib, using amongst other things plt.ticklabel_format(axis='y',style='sci',scilimits=(0,3)) . This yields a y-axis as so: Now the problem is that I want the y-axis to have ticks from [0, -2, -4, -6, -8, -12] . I have played around with the scilimits but to no avail. How can one force the ticks to only have one significant figure and no trailing zeros, and be floats when required? MWE added below: import matplotlib.pyplot as plt import numpy as np t = np

问题 I've generated a network figure using vedo library and I'm trying to add this as an inset to a figure generated in matplotlib import networkx as nx import matplotlib.pyplot as plt from vedo import * from matplotlib.offsetbox import OffsetImage, AnnotationBbox G = nx.gnm_random_graph(n=10, m=15, seed=1) nxpos = nx.spring_layout(G, dim=3, seed=1) nxpts = [nxpos[pt] for pt in sorted(nxpos)] nx_lines = [(nxpts[i], nxpts[j]) for i, j in G.edges()] pts = Points(nxpts, r=12) edg = Lines(nx_lines).lw