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A simpler solution without plt:. ax1 = df1.plot() ax2 = ax1.twinx() ax2.spines['right'].set_position(('axes', 1.0)) df2.plot(ax=ax2) ax3 = ax1.twinx() ax3.spines ...
Mar 26, 2017 · %matplotlib: any plt plot command will now cause a figure window to open, and further commands can be run to update the plot. Some changes will not draw automatically, to force an update, use plt.draw() %matplotlib notebook: will lead to interactive plots embedded within the notebook, you can zoom and resize the figure
Also, I am starting with matplotlib, and for me at least it is easier to understand scripts when objets are explicited. NB: Be careful, your legends may be cutoff while displaying/saving. To solve this issue, use the method axes.set_position([left, bottom, width, length]) to shrink the subplot relatively to the figure size and make the legends appear.
Aug 29, 2016 · import matplotlib.pyplot as plt plt.rcParams["font.family"] = "Arial" to set the font of the entire plot. If you want to use a different font e.g. for the title, you can use aidnani8's solution on top of that.
Aug 12, 2013 · Working on the django project and faced same problem, This is what I did. Check if you have matplotlib already simply by writing pip show matplotlib in the python terminal. If dont, run the command pip install matplotlib.(make sure you have pip downloaded) Run the command pip show matplotlib again.
Jan 31, 2017 · from matplotlib import pyplot as plt is the same as. import matplotlib.pyplot as plt and means that you are importing the pyplot module of matplotlib into your namespace under the shorter name plt. The pyplot module is where the plot(), scatter(), and other commands live. If you don't want to write plt. before every plot call you could instead do
Apr 7, 2016 · There are no direct ways to have lines extend to infinity... matplotlib will either resize/rescale the plot so that the furthest point will be on the boundary and the other inside, drawing line segments in effect; or you must choose points outside of the boundary of the surface you want to set visible, and set limits for the x and y axis.
Mar 20, 2017 · To make a semi-log plot with x-scale logarithmic, there are two options: import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.plot(x,y) ax.set_xscale('log')
Dec 1, 2008 · Adjust the figsize= parameter in matplotlib.pyplot.figure, which is similar to this answer, but uses the standard plt import alias, and doesn't directly import figure from the pyplot namespace.
Aug 13, 2009 · import numpy as np import matplotlib.pyplot as plt import matplotlib.cm as cm X = 10*np.random.rand(5,3) plt.imshow(X, aspect='auto') it works even if it is just for showing and not saving Share
