python核密度图_Python画核密度估计图之aborn 1.核密度估计图。
import matplotlib.pylab as plt紫背天葵怎么吃
import aborn as sns
df = sns.load_datat('iris')
p1=sns.kdeplot(df['pal_width'])
plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
p1=sns.kdeplot(df['pal_width'], shade=True)
plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
p1=sns.kdeplot(df['pal_width'], shade=True, vertical=True, color="skyblue")
plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
p1=sns.kdeplot(df['pal_width'], shade=True, bw=.5, color="olive")
plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
p2=sns.kdeplot(df['pal_width'], shade=True, bw=.05, color="olive")
plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
p1=sns.kdeplot(df['pal_width'], shade=True, color="r")刘幽求
p1=sns.kdeplot(df['pal_length'], shade=True, color="b")
import aborn as sns
df = sns.load_datat('iris')
sns.t_style("white")
p1 = sns.kdeplot(df.pal_width, df.pal_length)
plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
怀孕几周开始孕吐sns.t_style("white")
p1 = sns.kdeplot(df.pal_width, df.pal_length, cmap="Reds", shade=True, bw=.15)
plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
sns.t_style("white")
p1 = sns.kdeplot(df.pal_width, df.pal_length, cmap="Blues", shade=True, shade_lowest=True, ) plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)
sns.jointplot(x=df["pal_length"], y=df["pal_width"])
plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)
sns.jointplot(x=df["pal_length"], y=df["pal_width"], kind='hex')
import aborn as sns
df = sns.load_datat('iris')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)
sns.jointplot(x=df["pal_length"], y=df["pal_width"], kind='kde')
plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)
sns.jointplot(x=df["pal_length"], y=df["pal_width"], kind='scatter', s=200, color='m', edgecolor="skyblue", linewidth=2) plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)
sns.t(, color_codes=True)
sns.jointplot(x=df["pal_length"], y=df["pal_width"], kind='kde', color="skyblue")
plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)
sns.jointplot(x=df["pal_length"], y=df["pal_width"], kind='hex', marginal_kws=dict(bins=30, rug=True))
plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)
sns.jointplot(x=df["pal_length"], y=df["pal_width"], kind='kde', color="grey", space=0) plt.show()
import matplotlib.pylab as plt
import aborn as sns
df = sns.load_datat('iris')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)
sns.jointplot(x=df["pal_length"], y=df["pal_width"], kind='kde', color="grey", space=3) plt.show()
桂林阳朔旅游攻略
import matplotlib.pylab as plt夜森林
import aborn as sns
df = sns.load_datat('iris')
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)
sns.jointplot(x=df["pal_length"], y=df["pal_width"], kind='kde',ratio=1)
plt.show()
import matplotlib.pylab as plt
import aborn as sns
import numpy as np
my_dpi=96
雪俐plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi)
x = al(size=50000)
y = x * 3 + al(size=50000)
plt.hist2d(x, y, bins=(50, 50), jet)
plt.show()
import matplotlib.pylab as plt
import aborn as sns
import numpy as np
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi) x = al(size=50000)
y = x * 3 + al(size=50000)
plt.hist2d(x, y, bins=(300, 300), jet)
plt.show()
import matplotlib.pylab as plt
import aborn as sns
import numpy as np
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi) x = al(size=50000)
y = x * 3 + al(size=50000)
plt.hist2d(x, y, bins=(300, 30), jet)
plt.show()
import matplotlib.pylab as plt
import aborn as sns
import numpy as np
my_dpi=96
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi) x = al(size=50000)
y = x * 3 + al(size=50000)
宫颈炎最佳治疗方法plt.hist2d(x, y, bins=(50, 50), Reds)
plt.show()
import matplotlib.pylab as plt
import aborn as sns
import numpy as np
my_dpi=96简笔画比心
plt.figure(figsize=(480/my_dpi, 480/my_dpi), dpi=my_dpi) x = al(size=50000)
y = x * 3 + al(size=50000)
