我正在開發一個基于 matplotlib 散點圖的名為
And if you run the code using matplotlib==3.0.3 you'll have:
Attribute Qt::AA_EnableHighDpiScaling must be set before QCoreApplication is created.
/home/user/.local/lib/python3.8/site-packages/numpy/core/_asarray.py:136: ComplexWarning: Casting complex values to real discards the imaginary part
return array(a, dtype, copy=False, order=order, subok=True)
[Edit] : I added a example which uses matplotlib directly instead of using it through Samila. If you prefer you can use this script instead of previous one.
import random
import math
import matplotlib.pyplot as plt
import itertools
def f1(x,y):
return math.cos(x**2 * y)**1.926 - math.floor(x - y)**1.861 - math.floor(y**2 * x)**1.688
def f2(x,y):
return x - y**1.617 - math.ceil(y)**1.477 - abs(x**2 * y) ** 1.647 - math.cos(x * y)**1.668
def float_range(start, stop, step):
while start < stop:
yield float(start)
start = step
data1 = []
data2 = []
range1 = list(float_range(-1*math.pi, math.pi, 0.01))
range_prod = list(itertools.product(range1, range1))
for item in range_prod:
data1.append(f1(item[0], item[1]))
data2.append(f2(item[0], item[1]))
color = (0.159, 0.085, 0.191)
spot_size = 0.01
projection = "polar"
fig = plt.figure()
fig.set_size_inches(10, 10)
ax = fig.add_subplot(111, projection=projection)
ax.scatter(
data2,
data1,
alpha=0.1,
edgecolors=color,
s=spot_size)
ax.set_axis_off()
ax.patch.set_zorder(-1)
ax.add_artist(ax.patch)
plt.show()
System Details:
- OS: Linux - Ubuntu 20.04
- Python: Python 3.8.10
- GCC: [GCC 9.3.0]
- Matplotlib: [3.0.3, 3.4.3]
- Numpy: 1.19.1
uj5u.com熱心網友回復：
問題在于 matplotlib 將其繪圖策略從3.0.3忽略具有負半徑的點更改為繪制3.4.3它們的位置。
我無法使用
而在matplotlib.__version__ == 3.4.3：
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