axes

I am making a group of subplot (say, 3 x 2) in matplotlib, but I have fewer than 6 datasets. How can I make the remaining subplot blank? The arrangement looks like this: +----+----+ | 0,0| 0,1| +----+----+ | 1,0| 1,1| +----+----+ | 2,0| 2,1| +----+----+ This may go on for several pages, but on the final page, there are, for example, 5 datasets to the 2,1 box will be empty. However, I have declared the figure as: cfig,ax = plt.subplots(3,2) So in the space for subplot 2,1 there is a default set of axes with ticks and labels. How can I programatically render that space blank and devoid of axes?

In matlab with a figure, to check if it is 3D figure or 2D figure I use: V=axis; and check the number of components of V (4 for 2d figure, 6 for 3d figure). How can i implement this with python and matplotlib? ImportanceOfBeingErnest You can use the name of the axes. plt.gca().name or ax.name if ax is the axes. A 3D axes' name will be "3d" . A 2D axes' name will be "rectilinear" , "polar" or some other name depending on the type of plot. You can therefore check if ax.name == "3d": # axes is 3D, do something else: # axes is not 3D, do something else You can also check for the limits, as

import numpy as np import seaborn as sns import matplotlib.pyplot as plt sns.set(style="white", palette="muted", color_codes=True) rs = np.random.RandomState(10) d = rs.normal(size=100) # 多个坐标显示 f, axes = plt.subplots(nrows=1, ncols=2, figsize=(12, 5)) sns.distplot(d, color="g", hist=False, kde_kws={"shade": True}, ax=axes[0]) # hist是否显示直方图 sns.distplot(d, color="m", ax=axes[1]) plt.show() 显示效果： 来源： https://www.cnblogs.com/jumpkin1122/p/11519295.html

Using Cartopy, I would like to have full control of where my colorbar goes. Usually I do this by getting the current axes position as basis and then create new axes for the colorbar. This works well for standard matplotlib axes but not when using Cartopy and geo_axes, because this will distort the axes. So, my question is: how do I get the exact position of my geo_axes? Here is a code example based on the Cartopy docs http://scitools.org.uk/cartopy/docs/latest/matplotlib/advanced_plotting.html : import cartopy.crs as ccrs import matplotlib.pyplot as plt import os from netCDF4 import Dataset as

I just can't find it. How to set up axis and labels in matlab so they cross at zero point, with the labels just below the axis not on left/bottom of the plot ? If I didn't make myself clear - I just want the plot to look like like we all used to draw it when in school. Axes crossing, 4 quadrants, labels right below axis, curve ... as it goes. Anyone knows how to set it up ? You should check out two submissions on The MathWorks File Exchange : PlotAxisAtOrigin by Shanrong Zhang axescenter by Matt Fig Hopefully these will work with whatever MATLAB version you have (the submission from Matt Fig