When running the default scatter plot the following error is generated:
/usr/local/lib/python2.7/dist-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
warnings.warn(self.msg_depr % (key, alt_key))
Traceback (most recent call last):
File "scatter.py", line 13, in <module>
ppl.scatter(ax, x, y, label=str(i))
File "/usr/local/lib/python2.7/dist-packages/prettyplotlib/colors.py", line 35, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/prettyplotlib/_scatter.py", line 24, in scatter
color_cycle = ax._get_lines.color_cycle
AttributeError: '_process_plot_var_args' object has no attribute 'color_cycle'
The code to recreate:
import prettyplotlib as ppl
import numpy as np
fig, ax = ppl.subplots()
# Set the random seed for consistency
np.random.seed(12)
# Show the whole color range
for i in range(8):
x = np.random.normal(loc=i, size=1000)
y = np.random.normal(loc=i, size=1000)
ppl.scatter(ax, x, y, label=str(i))
ppl.legend()
ax.set_title('prettyplotlib `scatter` example\nshowing default color cycle and scatter params')
fig.savefig('scatter_prettyplotlib_default.png')
Tried modifying _scatter.py with s/ax._get_lines.color_cycle/ax._get_lines.prop_cycler/ (the closest named method I could see in the _ax._getlines object) but this didn't help. Before I dig deeper maybe you have some better ideas.
When running the default scatter plot the following error is generated:
The code to recreate:
Tried modifying _scatter.py with
s/ax._get_lines.color_cycle/ax._get_lines.prop_cycler/
(the closest named method I could see in the _ax._getlines object) but this didn't help. Before I dig deeper maybe you have some better ideas.