从seaborn gallery - scatter plots,
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="whitegrid")
# Load the example iris dataset
diamonds = sns.load_dataset("diamonds")
# Draw a scatter plot while assigning point colors and sizes to different
# variables in the dataset
f, ax = plt.subplots(figsize=(6.5, 6.5))
sns.despine(f, left=True, bottom=True)
clarity_ranking = ["I1", "SI2", "SI1", "VS2", "VS1", "VVS2", "VVS1", "IF"]
sns.scatterplot(x="carat", y="price",
hue="clarity", size="depth",
palette="ch:r=-.2,d=.3_r",
hue_order=clarity_ranking,
sizes=(1, 8), linewidth=0,
data=diamonds, ax=ax)
这个神秘的字符串"ch:r=-.2,d=.3_r"
是什么意思?
我唯一能找到的参考文献是seaborn.color_palette的文档,
Other options: name of matplotlib cmap, 'ch:<cubehelix arguments>', 'hls', 'husl', or a list of colors in any format matplotlib accepts
但是仍然无法在matplotlib
文档中找到任何内容。
那么,这到底是什么意思?到目前为止,我只知道后缀_r
表示色调的“反向”。
答案 0 :(得分:1)
from django.db import models
from django.utils import timezone
# Create your models here.
class Comment(models.Model):
name=models.CharField(max_length=20)
comments=models.TextField()
date_added=models.DateTimeField(default=timezone.now)
def __str__(self):
return self.name
"""
{% for c in comment %}
{% endfor %}
"""
语法特定于Seaborn。因此,难怪matplotlib文档中对此一无所知。
"ch:r=-.2,d=.3_r"
中<cubehelix arguments>
的可能选项可以
从seaborn.cubehelix_palette
文档中隐式推导。
这提供了
之类的参数'ch:<cubehelix arguments>'
您可以在字符串中使用
start : float, 0 <= start <= 3
The hue at the start of the helix.
rot : float
Rotations around the hue wheel over the range of the palette.
gamma : float 0 <= gamma
Gamma factor to emphasize darker (gamma < 1) or lighter (gamma > 1) colors.
hue : float, 0 <= hue <= 1
Saturation of the colors.
dark : float 0 <= dark <= 1
Intensity of the darkest color in the palette.
light : float 0 <= light <= 1
Intensity of the lightest color in the palette.
并且为了缩短它,仅使用第一个字母就足够了
"ch:rot=-0.2,dark=0.3"
请注意,无法通过此字符串迷你语言选择颜色的数量。