multiple-axes

问题 I have the following dataframe: land_cover 1 2 3 4 5 6 size 0 20 19.558872 6.856950 3.882243 1.743048 1.361306 1.026382 16.520265 1 30 9.499454 3.513521 1.849498 0.836386 0.659660 0.442690 8.652517 2 40 10.173790 3.123167 1.677257 0.860317 0.762718 0.560290 11.925280 3 50 10.098777 1.564575 1.280729 0.894287 0.884028 0.887448 12.647710 4 60 6.166109 1.588687 0.667839 0.230659 0.143044 0.070628 2.160922 5 110 17.846565 3.884678 2.202129 1.040551 0.843709 0.673298 30.406541 I want to plot the

问题 I have the following dataframe: land_cover 1 2 3 4 5 6 size 0 20 19.558872 6.856950 3.882243 1.743048 1.361306 1.026382 16.520265 1 30 9.499454 3.513521 1.849498 0.836386 0.659660 0.442690 8.652517 2 40 10.173790 3.123167 1.677257 0.860317 0.762718 0.560290 11.925280 3 50 10.098777 1.564575 1.280729 0.894287 0.884028 0.887448 12.647710 4 60 6.166109 1.588687 0.667839 0.230659 0.143044 0.070628 2.160922 5 110 17.846565 3.884678 2.202129 1.040551 0.843709 0.673298 30.406541 I want to plot the

问题 Is there a way in Matlab to bring an axes to front without having Matlab perform a redraw ( drawnow ) implicitly? Background to my question: I am preparing a large figure with several subplots. In some of them I have 2 axes superposed, because I want to see the same data on 2 different y-scales. After playing around with axes settings, I finally got the figure to look like I expected. But: I need to bring one of the axes to front (in my case, the left axes hAxL). So I have this line in my

问题 Background I am trying to show three variables on a single plot. I have connected the three points using lines of different colours based on some other variables. This is shown here Problem What I want to do is to have a different scale on the negative x-axis. This would help me in providing positive x_ticks, different axis label and also clear and uncluttered representation of the lines on left side of the image Question How to have a different positive x-axis starting from 0 towards

问题 I am trying to create a plot in R similar to this: with up to 6 variables and it has to be reactive. I tried plotly, however in plotly I would get axis ticks on the plot, and it gets messy, and I managed to get only one y axis out. Is there a way to recreate the plot in plotly or any other interactive library? My plotly code: library(dplyr) library(plotly) library(tidyr) data <- cbind( seq(from = 1, to = 30, by = 1), sample(seq(from = 100, to = 300, by = 10), size = 30, replace = TRUE),

问题 I have an axis on which I plot some data and I have another twin axis which I use to draw grid lines at specific tick positions (other than the ticks of the original axis): import matplotlib.pyplot as plt import numpy as np f, ax = plt.subplots() ax.set_xlim([0, 1]) ax2 = ax.twiny() ax2.set_xlim([0, 1]) ax2.set_xticks(np.linspace(0, 1, 11)) ax2.xaxis.grid() x = np.linspace(0, 1, 100) ax.plot(x, np.sin(x), label='sin(x)') ax.legend() plt.show() Now this has the undesirable effect that the grid

问题 I am trying to create a scatterplot using ggplot that shares an X axis but has a Y axis with two different scales. The bottom of the Y axis has three scales from 0% to 0.1%, then 0.1% to 1%, and then finally regular intervals by 10%. An example from here: Is there a way to produce something like this in R using ggplot? Would I be modifying the axes? Overlaying several plots on the same panel? Or something else? 回答1: Generally discontinuous axes are not recommended within ggplot2, for reasons

问题 This is to clarify the question title. Say you have four lists of integers, with which you want to produce a scatter plot: a=[3,7,2,8,12,17] b=[9,4,11,7,6,3] c=[9,3,17,13,10,5] d=[5,1,1,14,5,8] You also have a function, for simplicity f(x)=1/x , that applies to all lists, so that: from __future__ import division a1=[1/i for i in a] b1=[1/i for i in b] c1=[1/i for i in c] d1=[1/i for i in d] My question: how to add a second y axis, knowing that the values returned by the function range from 0

问题 When I set barmode='group' in Layout while trace2 = Bar(...,yaxis='y2') , this leads bars to be stacked or overlayed instead of grouping them. How can I group the bars while having multiple axes? I went over these but no avail: With single Y axis grouped bar chart is shown here. Multiple axes is also explained here and reference for y-axis is available here 回答1: Here's an example of a grouped bar charts with multiple axes: https://plot.ly/~etpinard/2080/grouped-bars-on-multiple-axes/ The

问题 I am trying to plot 3 series with 2 on the left y-axis and 1 on the right using secondary_y , but it’s not clear to me how to define the right y-axis scale as I did on the left with ylim=() . I have seen this post: Interact directly with axes … but once I have: import matplotlib.pyplot as plt df = pd.DataFrame(np.random.randn(10,3)) fig, ax1 = plt.subplots() ax2 = ax1.twinx() ax1.plot(df.index,df.iloc[:,[0,2]]) ax2.plot(df.index, df.iloc[:,2]) plt.show() doesn't produce anything at all. I am