A general approach is to tell matplotlib the desired number of ticks: plt.locator_params(nbins=10) Edit by comments from @Daniel Power: to change for a single axis (e.g. ‘x’) on an axis, use: ax.locator_params(nbins=10, axis=”x”)
Apparently it is a bug, if you try this import numpy as np from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111, projection=”3d”) X, Y = np.mgrid[-1:1:30j, -1:1:30j] Z = np.sin(np.pi*X)*np.sin(np.pi*Y) ax.plot_surface(X, Y, Z, cmap=”autumn_r”, lw=0, rstride=1, cstride=1) ax.contour(X, Y, Z+1, 10, lw=3, colors=”k”, linestyles=”solid”) plt.show() And rotate around, you … Read more
This is happening because Google Colab and Jupyter run on virtual environments which do not support GUI outputs as you cannot open new windows through a browser. Running it locally on a code editor(Spyder, or even IDLE) ensures that it can open a new window for the GUI to initialize. For coding the GUI it … Read more
you are looking for the kwarg linewidths. e.g.: import matplotlib.pyplot as plt import numpy as np x = y = np.arange(5) fig,ax = plt.subplots(1) ax.scatter(x,y, s=100,marker=”x”,color=”b”,linewidths=1) ax.scatter(x,y+1,s=100,marker=”x”,color=”r”,linewidths=2) ax.scatter(x,y+2,s=100,marker=”x”,color=”g”,linewidths=3) plt.show() Note: On some versions of matplotlib, it appears the kwarg is linewidth, not linewidths, despite what the manual currently says (April 2020). This is a known … Read more
You would be just use: plt.figtext(0.5, 0.01, “one text and next text”, ha=”center”, fontsize=18, bbox={“facecolor”:”orange”, “alpha”:0.5, “pad”:5})
seaborn.distplot has been DEPRECATED in seaborn 0.11 and is replaced with the following: displot(), a figure-level function with a similar flexibility over the kind of plot to draw. This is a FacetGrid, and does not have the ax parameter, so it will not work with matplotlib.pyplot.subplots. histplot(), an axes-level function for plotting histograms, including with … Read more
The return values of plt.hist are: Returns: tuple : (n, bins, patches) or ([n0, n1, …], bins, [patches0, patches1,…]) So all you need to do is capture the return values appropriately. For example: import numpy as np import matplotlib.pyplot as plt # generate some uniformly distributed data x = np.random.rand(1000) # create the histogram (n, … Read more
One option (as mentioned by @tda), and probably the best/most standard way, is to put the plt.figure before the plt.bar: import matplotlib.pyplot as plt plt.figure(figsize=(20,10)) plt.bar(x[‘user’], x[‘number’], color=”blue”) Another option, if you want to set the figure size after creating the figure, is to use fig.set_size_inches (note I used plt.gcf here to get the current … Read more
Try to set the size of the figure (in inches) before you save it. You can do this when you initialize the figure by doing: figure(figsize=(11.69,8.27)) # for landscape or if the figure exists: f = gcf() # f = figure(n) if you know the figure number f.set_size_inches(11.69,8.27) or in advance for all plots, using … Read more
TLDR: The photos WERE being overwritten, but the date was kept the same as the original file, due to a quirk of windows when a folder has lots of photos. Jon’s answer from 10/2/2015 did the trick for me. https://superuser.com/questions/147525/what-is-the-date-column-in-windows-7-explorer-it-matches-no-date-column-from/335901#335901 Basically windows detects lots of pictures in a folder and “optimizes” said folder for pictures. … Read more