scatter

问题 This question already has answers here : Matplotlib scatter plot different colors in legend and plot (1 answer) Python equivalent to 'hold on' in Matlab (4 answers) Closed last month . I am trying to plot data from three files in only one figure. As of right now, I try to do only two files. They both gets graphed, but in two different figures. I want them to be in one graph/figure/window. Please, let me know if I need to update any part of my question without downgrading it. I would really

问题 This question already has answers here : Matplotlib scatter plot different colors in legend and plot (1 answer) Python equivalent to 'hold on' in Matlab (4 answers) Closed last month . I am trying to plot data from three files in only one figure. As of right now, I try to do only two files. They both gets graphed, but in two different figures. I want them to be in one graph/figure/window. Please, let me know if I need to update any part of my question without downgrading it. I would really

问题 I have to do a scatter plot that has colors depending on a third variable. If the variable is between 0 and 1, give "blue", 1-2, red, 2-3, purple, 3-4, green, 4-5 gray. How can I do that ? x = [1,2,3,4,5] y = [3,4,2,3,4] c = [1,2,4,0.5,5] 回答1: If you want specific boundaries for the colormap you can use mpl.colors.BoundaryNorm together with mpl.colors.ListedColormap . import matplotlib.pyplot as plt import matplotlib as mpl x = [1,2,3,4,5] y = [3,4,2,3,4] c = [1,2,4,0.5,5] cmap = mpl.colors

问题 I have to do a scatter plot that has colors depending on a third variable. If the variable is between 0 and 1, give "blue", 1-2, red, 2-3, purple, 3-4, green, 4-5 gray. How can I do that ? x = [1,2,3,4,5] y = [3,4,2,3,4] c = [1,2,4,0.5,5] 回答1: If you want specific boundaries for the colormap you can use mpl.colors.BoundaryNorm together with mpl.colors.ListedColormap . import matplotlib.pyplot as plt import matplotlib as mpl x = [1,2,3,4,5] y = [3,4,2,3,4] c = [1,2,4,0.5,5] cmap = mpl.colors

问题 I'm making scatterplots out of a DF using matplotlib. In order to get different colors for each data set, I'm making two separate calls to plt.scatter: plt.scatter(zzz['HFmV'], zzz['LFmV'], label = dut_groups[0], color = 'r' ) plt.scatter(qqq['HFmV'], qqq['LFmV'], label = dut_groups[1], color = 'b' ) plt.legend() plt.show() This gives me the desired color dependence but really what would be ideal is if I could just get pandas to give me the scatterplot with several datasets on the same plot

问题 I'm making scatterplots out of a DF using matplotlib. In order to get different colors for each data set, I'm making two separate calls to plt.scatter: plt.scatter(zzz['HFmV'], zzz['LFmV'], label = dut_groups[0], color = 'r' ) plt.scatter(qqq['HFmV'], qqq['LFmV'], label = dut_groups[1], color = 'b' ) plt.legend() plt.show() This gives me the desired color dependence but really what would be ideal is if I could just get pandas to give me the scatterplot with several datasets on the same plot

问题 My data: a <- sample(1:5, 100, replace = TRUE) b <- sample(1:5, 100, replace = TRUE) c <- sample(1:10, 100, replace = TRUE) d <- sample(1:40, 100, replace = TRUE) df <- data.frame(a, b, c, d) Using ggplot2 , I have created scatterplot over x = a and y = b, weighted in two dimension (by colour = c and size = d ). Note that x and y are intentionally 1:5 . Obviously, the points of different sizes and colors therefore overlap, so I tried jitter to avoid overlapping: ggplot(df, aes(a, b, colour =

问题 This seems very helpful but I'm having trouble doing it. If I type car:::scatter.default it returns: Error in get(name, envir = asNamespace(pkg), inherits = FALSE) : object 'scatter.default' not found , but car:::scatter3d.default returns the entire function. Do I edit scatter3d.default ? When I add the if (axis.scales) code to scatter3d.default I get an error saying: Error in match.arg(id.method) : object 'id.method' not found? Do you have the full version of the code edits that I could use?

问题 I've created a scatter chart with two sets of data; the first set is the actual data (x = year and y = pence) and the second set produces the same points but for the line of regression. However the problem I'm having is that both sets of data are shown as scatter points. I want to show the first set as scatter points and have the second set on the same graph but showing as a line. I've been at it for a long time but I can't figure out a way to do this. the scatter chart code is shown on

问题 I have this plot but I need the y axis to be fixed to 00:00, 01:00, 02:00, etc all the way up to 12:00. As of now it's only plotting the values I have in the csv on the y axis. the csv is in the following format. How do o get the y axis to be constant and only show 00:00 to 12:00 in 1 hr increments and still have the data plotted correctly? ML INT 0.1 534.15 0:00 ML EXT 0.25 654.23 3:00 ML INT 0.35 743.12 6:30 And the following is the code I have so far. import pandas as pd import matplotlib