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Matplotlib different size subplots
... than gridspec as you don't have to deal with settings up the list for the axis anymore (with gridspec you still need to make the axis and the plots one by one). So subplots is cleaner and faster to use indeed
– Eelco van Vliet
Mar 23 '17 at 6:31
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warning about too many open figures
In a script where I create many figures with fix, ax = plt.subplots(...) , I get the warning RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (matplotlib.pyplot.figure) are retained until explicitly closed and may consume too much memory.
...
Pandas timeseries plot setting x-axis major and minor ticks and labels
...', '2011-07-01')
s = pd.Series(np.random.randn(len(idx)), index=idx)
fig, ax = plt.subplots()
ax.plot_date(idx.to_pydatetime(), s, 'v-')
ax.xaxis.set_minor_locator(dates.WeekdayLocator(byweekday=(1),
interval=1))
ax.xaxis.set_minor_formatter(dates.Dat...
How do I draw a grid onto a plot in Python?
...d:
x = numpy.arange(0, 1, 0.05)
y = numpy.power(x, 2)
fig = plt.figure()
ax = fig.gca()
ax.set_xticks(numpy.arange(0, 1, 0.1))
ax.set_yticks(numpy.arange(0, 1., 0.1))
plt.scatter(x, y)
plt.grid()
plt.show()
ax.xaxis.grid and ax.yaxis.grid can control grid lines properties.
...
What is the difference between MOV and LEA?
...on-trivial address calculation and store the result [for later usage]
LEA ax, [BP+SI+5] ; Compute address of value
MOV ax, [BP+SI+5] ; Load value at that address
Where there are just constants involved, MOV (through the assembler's constant calculations) can sometimes appear to overlap with the ...
What is the difference between 'log' and 'symlog'?
In matplotlib , I can set the axis scaling using either pyplot.xscale() or Axes.set_xscale() . Both functions accept three different scales: 'linear' | 'log' | 'symlog' .
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Python Matplotlib figure title overlaps axes label when using twiny
... @JohnCummings It seems that the default value is y=1 and the units is "axes fraction", i.e., y=0.5 means the title is in the middle of the axes, and y=0 means the title is just above the bottom of the axes.
– herrlich10
Oct 19 '17 at 12:31
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Specifying and saving a figure with exact size in pixels
...andom.rand(h, w)
fig = plt.figure(frameon=False)
fig.set_size_inches(w,h)
ax = plt.Axes(fig, [0., 0., 1., 1.])
ax.set_axis_off()
fig.add_axes(ax)
ax.imshow(im_np, aspect='normal')
fig.savefig('figure.png', dpi=1)
I am using the last PIP versions of the Python 2.7 libraries in Linux Mint 13.
Hope...
python plot normal distribution
...
How can I change the Y axes to numbers between 0 to 100?
– Hamid
Mar 16 '19 at 22:56
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