Seaborn简单画图(四) -- 设置图形显示效果

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline

x = np.linspace(0,14,100)
y1 = np.sin(x)
y2 = np.sin(x+2)*1.25
def sinplot():
    plt.plot(x,y1)
    plt.plot(x,y2)
sinplot()

axex_style and set_style

import seaborn as sns
sns.set()
sinplot()

style = ['white', 'dark', 'whitegrid', 'darkgrid', 'ticks']
sns.set_style(style[0])
sinplot()

sns.set_style(style[1])
sinplot()

# 可以通过字典设置风格
sns.axes_style()
{'axes.axisbelow': True,
 'axes.edgecolor': '.15',
 'axes.facecolor': 'white',
 'axes.grid': False,
 'axes.labelcolor': '.15',
 'axes.linewidth': 1.25,
 'figure.facecolor': 'white',
 'font.family': ['sans-serif'],
 'font.sans-serif': ['Arial',
  'DejaVu Sans',
  'Liberation Sans',
  'Bitstream Vera Sans',
  'sans-serif'],
 'grid.color': '.8',
 'grid.linestyle': '-',
 'image.cmap': 'rocket',
 'legend.frameon': False,
 'legend.numpoints': 1,
 'legend.scatterpoints': 1,
 'lines.solid_capstyle': 'round',
 'text.color': '.15',
 'xtick.color': '.15',
 'xtick.direction': 'out',
 'xtick.major.size': 6.0,
 'xtick.minor.size': 3.0,
 'ytick.color': '.15',
 'ytick.direction': 'out',
 'ytick.major.size': 6.0,
 'ytick.minor.size': 3.0}

# 设为网格线颜色
sns.set_style(style[3], {'grid.color':'red'})

# 清空设置
sns.set()

plotting_context() and set_context()

# 设置图形比例
context = ['paper', 'notebook','talk', 'poster']
sns.set_context(context[3])
sinplot()

sns.plotting_context()

{'axes.labelsize': 17.6,
 'axes.titlesize': 19.200000000000003,
 'font.size': 19.200000000000003,
 'grid.linewidth': 1.6,
 'legend.fontsize': 16.0,
 'lines.linewidth': 2.8000000000000003,
 'lines.markeredgewidth': 0.0,
 'lines.markersize': 11.200000000000001,
 'patch.linewidth': 0.48,
 'xtick.labelsize': 16.0,
 'xtick.major.pad': 11.200000000000001,
 'xtick.major.width': 1.6,
 'xtick.minor.width': 0.8,
 'ytick.labelsize': 16.0,
 'ytick.major.pad': 11.200000000000001,
 'ytick.major.width': 1.6,
 'ytick.minor.width': 0.8}

# 设置网格线宽度
sns.set_context(context[1], rc={'grid.linewidth':3.0})
sinplot()