subplot

问题 I would like to insert a new levelplot into a previously plotted levelplot like the image shown below. Is there some sort of subplot function for levelplot that will allow me to do this? Thanks in advance. 来源： https://stackoverflow.com/questions/30018448/subplot-function-for-levelplot

问题 I have a function that creates a grid of similar 2D histograms. So that I can select whether to put this new plot on a pre-existing figure, I do the following: def make_hist2d(x, y, current_fig=False, layout=(1,1,1),*args): if current_fig: fig = _plt.gcf() ax = fig.add_subplot(*layout) # layout=(nrows, ncols, nplot) else: fig, ax = _plt.subplots() H, x, y = np.histogram2d(...) # manipulate the histogram, e.g. column normalize. XX, YY = _np.meshgrid(xedges, yedges) Image = ax.pcolormesh(XX, YY

问题 Plotting a heatmap and a lineplot using Seaborn with shared x-axis, the ticks of the heatmap are placed in the middle of the heatmap bars. Consequently, the bottom lineplot will inherit heatmap ticks position and labels, not reflecting the true data as the lineplot ticks should start from zero. In other words, I need to either shift the ticks of both plots to start from the x-axis origin (optimal), or shift the lineplot toward the right by a half of a heatmap cell width, keeping the tick

问题 Adding seaborn figures to subplots is usually done by passing 'ax' when creating the figure. For instance: sns.kdeplot(x, y, cmap=cmap, shade=True, cut=5, ax=ax) This method, however, doesn't apply to seaborn.palplot, which visualizes seaborn color palettes. My goal is to create a figure of different color palettes for scalable color comparison and presentation. This image roughly shows the figure I'm trying to create [source]. A possibly related answer describes a method of creating a

问题 Adding seaborn figures to subplots is usually done by passing 'ax' when creating the figure. For instance: sns.kdeplot(x, y, cmap=cmap, shade=True, cut=5, ax=ax) This method, however, doesn't apply to seaborn.palplot, which visualizes seaborn color palettes. My goal is to create a figure of different color palettes for scalable color comparison and presentation. This image roughly shows the figure I'm trying to create [source]. A possibly related answer describes a method of creating a

问题 Current version of matplotlib do not allow box-forced anymore, how should I do the same thing as the answer? I am using matplotlib 3.1.0. After I ploted another set of data on the same plot with twinx() function, I want to change the aspect ratio of the actual plot area to 1. Normally I do this and it works for non-twinx axis ratio = 1 xleft, xright = ax.get_xlim() ybottom, ytop = ax.get_ylim() ax.set_aspect(abs((xright - xleft) / (ybottom - ytop)) * ratio) For twinx axis, the above code do

问题 With matplotlib, I want to plot two graphs with the same x-axis scale, but I want to show different sized sections. How can I accomplish that? So far I can plot differently sized subplots with GridSpec or same sized ones who share the x-axis. When I try both at once, the smaller subplot has the same axis but smaller scaled, while I want the same scaling and a different axis, so sharing the axis might be a wrong idea. import numpy as np import matplotlib.pyplot as plt from matplotlib.gridspec

问题 With matplotlib, I want to plot two graphs with the same x-axis scale, but I want to show different sized sections. How can I accomplish that? So far I can plot differently sized subplots with GridSpec or same sized ones who share the x-axis. When I try both at once, the smaller subplot has the same axis but smaller scaled, while I want the same scaling and a different axis, so sharing the axis might be a wrong idea. import numpy as np import matplotlib.pyplot as plt from matplotlib.gridspec

问题 With matplotlib, I want to plot two graphs with the same x-axis scale, but I want to show different sized sections. How can I accomplish that? So far I can plot differently sized subplots with GridSpec or same sized ones who share the x-axis. When I try both at once, the smaller subplot has the same axis but smaller scaled, while I want the same scaling and a different axis, so sharing the axis might be a wrong idea. import numpy as np import matplotlib.pyplot as plt from matplotlib.gridspec

问题 for each subplot I have 3 seperate line:2017 ,2018 and 2019 with 3 times "go.Scatter", each subplot represents one country (25 countries) with always these 3 years. I can use the subplot sample code but then all the 75 legends (25 X 3) will be all together with different colors and it's messy. I don't need different colors amont different subplot, I can just have 3 different colors and 3 legends for the 3 years on all subplots, would be ideal if I click on for example 2017 that all the 2017