Module-Based_python/Seaborn Based at master · Strong10mede/Module-Based_python · GitHub

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import seaborn as sns
import matplotlib.pyplot as plt          //noob mayur mere 4 pull request pure ho gaye hai
import numpy as np
import pandas as pd

 #   sns.jointplot(x=x1,y=y1,kind='kde',color='b');
#x1=pd.DataFrame({'Day':[1,2,3,4,5,6,7],'Grocery':[30,80,45,23,51,46,76],'Clothes':[13,40,34,23,54,67,98],'Utensils':[12,32,27,56,87,54,34]},index=[1,2,3,4,5,6,7])
#y1=pd.DataFrame({'Day':[8,9,10,11,12,13,14],'Grocery':[30,80,45,23,51,46,76],'Clothes':[13,40,34,23,54,67,98],'Utensils':[12,32,27,56,87,54,34]},index=[8,9,10,11,12,13,14])
#mean, cov = [0, 1], [(1, .5), (.5, 1)]
#data = np.random.multivariate_normal(mean, cov, 200)
#with sns.axes_style("white"):
 #         sns.jointplot(x=x1, y=y1, kind="kde", color="b");
#plt.show()
c2=sns.color_palette()
sns.palplot(c2)
plt.show()
sns.set(style="white",color_codes=True)
a4=sns.load_dataset("tips")
sns.boxplot(x='time',y='tip',data=a4)
sns.despine(offset=10,trim=True)
plt.show()

sns.set(style='dark')
a2=sns.load_dataset("flights")
b2=sns.PairGrid(a2)
b2.map(plt.scatter)
plt.show()
sns.set(style='darkgrid')
a2=sns.load_dataset("flights")
b2=sns.PairGrid(a2)
b2.map(plt.scatter)
plt.show()
a1=sns.load_dataset("iris")
b1=sns.FacetGrid(a1,col="species")
b1.map(plt.hist,"sepal_length")
plt.show()
a2=sns.load_dataset("flights")
b2=sns.PairGrid(a2)
b2.map(plt.scatter)
plt.show()

import pandas as pd
from scipy import stats


c=np.random.normal(loc=5,size=10,scale=3)
sns.displot(c)
plt.show()
b=sns.load_dataset("tips")
sns.catplot(x='time',y='tip',data=b)
sns.catplot(x='time',y='tip',kind='violin',data=b)
sns.catplot(x='time',y='tip',kind='boxen',data=b)
plt.show()


sns.relplot(x='time',y='tip',data=b,kind='line')
plt.show()

a = sns.load_dataset("flights")
sns.relplot(x="passengers",y="month",hue='year',data = a)
plt.show()