rayafarhadi / matplotlib Goto Github PK

When using the c argument in a scatter plot, the fill color of the markers is not updated correctly when the plot is redrawn, it gets set back to the default value of c=None

The plots on the bottom should look the same as the plots on the top

Original Matplotlib Issue

matplotlib#14404

In as.text, ax.set_title and all the functions realated to displaying characters on the figure,
the arguement size is ignored if it is placed before fontproperties.

Code for reproduction

plt.hist(data, bins=40, facecolor="blue", edgecolor="black", alpha=0.5)
plt.xlabel("value", fontproperties='SimHei',size=20  ) # this will work
plt.ylabel("counts",size=20, fontproperties='SimHei')  # this doesn't
plt.show()

This issue is replicated with ipython (%pylab) and jupyter-notebook

matplotlib#16389

Consider the following spectrogram animation, matplotlib seems leaks memory when switched to log scale on the Y axis, for the functions pcolorfast, pcolormesh, imshow and specgram

from scipy.signal.spectral import spectrogram
from scipy.signal.waveforms import chirp

import matplotlib.animation as animation
import matplotlib.pyplot as plt
import numpy as np

fs = 8000 # sampling rate
t = np.arange(0, 5.0, 1/fs) # 5 seconds of time

fig, axes = plt.subplots(nrows=1)

def signal(t): # generates a "chirp" signal
    return chirp(t = t, f0 = 100.0,  f1 = 3000.0, t1 = 10.0)

def spect(x): # computes spectrogram
    freq, time, Sxx = spectrogram(x, fs = fs, nfft = 1024, noverlap = 512, nperseg = 1024)
    Z = 10 * np.log10(Sxx)
    return freq, time, Z

y = signal(t)
freq, time, Z = spect(y)
im = axes.pcolorfast(time, freq, Z)
axes.set_xlabel('t [s]')
axes.set_ylabel('f [Hz]')
axes.set_yscale('log') # <-- exposes the leak
axes.set_ylim(0, fs/2)

def animate(i):
    y = signal(t + i/30.0) # sliding temporal window
    freq, time, Z = spect(y)
    im.set_data(Z)
    return [ im ]

ani = animation.FuncAnimation(fig, animate, np.arange(1, 200), 
                              interval=0, blit=True)
plt.show()

Everything stays stable if we switch to a linear scale on the Y axis, commenting out the line

axes.set_yscale('log')

matplotlib#15474

Plots that use sharex have the same x-axis but when plt.xticks changes it appears only the second of the two plots gets the updated x-tick range.

import matplotlib.pyplot as plt
fig, (ax1, ax2) = plt.subplots(2, sharex=True)
ax1.plot(range(0, 10), range(0, 10))
ax2.plot(range(0, 10), range(0, 10))
plt.xticks(range(0, 30))
plt.show()

Previous Fix For This Issue

This bug was fixed back in 2018 but the rebase to master was postponed too long and the changes in the pr can no longer be merged into master.

matplotlib#10691

Original Matplotlib Issue

matplotlib#8946

Tick labels are being drawn behind the curve, even though xtick.zorder is set to a value higher than line.zorder

Tick labels should be above the curve.
Changing xtick.zorder doesn't have any effect.
Changing line.zorder to <= 1.5 produces the correct result.

Original Matplotlib Issue

matplotlib#13863

Rotating different text by 90 degrees gives different alignments.

When rotating text, the bbox (the orange box) is in the correct position, but the text is not rendered in the correct position within the bbox

Original Matplotlib Issue

matplotlib#14239