Matplotlib Seaborn

import seaborn as sns
x = ['03-10-16', '04-10-16', '05-10-16', '06-10-16', '07-10-16']
 
y=[774.25, 776.030029, 779.309998, 779, 779.659973]
y1=[776.065002,778.710022,782.070007,780.47998,779.659973]
y2=[769.5,772.890015,775.650024,775.539978,770.75]
y3=[772.559998,776.429993,776.469971,776.859985,775.080017]
 
k=[y, y1, y2, y3, None]
z=[1, 2, 3, 4, 5]
df = pd.DataFrame(dict(Data=x, Value=z, reg=k))
#df1 = pd.DataFrame(dict(Data=x, Value=y1))
#df2 = pd.DataFrame(dict(Data=x, Value=y2))
#df3 = pd.DataFrame(dict(Data=x, Value=y3))
sns.relplot(x='Data',
            y="Value",hue='reg',
            kind='line',
            data=df)
#g=sns.relplot(x='Data',            y="Value",            kind='line',            data=df1)
#g=sns.relplot(x='Data',            y="Value",            kind='line',            data=df2)
#g=sns.relplot(x='Data',            y="Value",            kind='line',            data=df3)
# значения
#g = sns.barplot(x=df['v1+v2+v3+v4'], y=df['people'], color='red', label='val4')
#g = sns.barplot(x=df['v1+v2+v3'], y=df['people'], color='green', label='val3')
#g = sns.barplot(x=df['v1+v2'], y=df['people'], color='orange', label='val2')
#g = sns.barplot(x=df['val1'], y=df['people'], color='blue', label='val1')
 
 
# название осей
#g.set_ylabel('people')
#g.set_xlabel('vals')
 
plt.legend()

import seaborn as sns
x = ['03-10-16', '04-10-16', '05-10-16', '06-10-16', '07-10-16']
 
y=[774.25, 776.030029, 779.309998, 779, 779.659973]
y1=[776.065002,778.710022,782.070007,780.47998,779.659973]
y2=[769.5,772.890015,775.650024,775.539978,770.75]
y3=[772.559998,776.429993,776.469971,776.859985,775.080017]
sns.lineplot(x=x, y=y)
sns.lineplot(x=x, y=y1)
sns.lineplot(x=x, y=y2)
sns.lineplot(x=x, y=y3)