python

# -*- coding: utf-8 -*-
"""
Spyder Editor

This is a temporary script file.
"""

import numpy as np
import pandas as pd
data = np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,13],[12,14,15]])
print(data)
df= pd.DataFrame(data)
df.columns = list("ABC")
def function(col):
    val=sum(col)/2
    return(val)

print(function(df["A"]))
=====================================================
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 24 14:54:50 2019

@author: DEll
"""

import numpy as np
import matplotlib.pyplot as plt
x = np.arange(0,10)
y=x^2
plt.title("raph drawing")
plt.xlabel("time")
plt.ylabel("distance")
plt.plot(x,y,'r')
plt.plot(x,y,'>')
#save in pdf format
plt.savefig("time vs dist.pdf",format='pdf')
========================================================
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 24 15:08:34 2019

@author: DEll
"""

import pandas as pd
df = pd.read_csv(r"C:\Users\DEll\Downloads\HR_comma_sep.csv")
##
#print(df.head(5))
#print(df.tail(5))
#print(df.info())
#print(df.describe())
#print(df[["satisfaction_level","salary","sales"]])
df_copy=df.iloc[:500,[0,3,9]]
df["col1"]=1
df["new_salary"]=df["salary"].str.upper()+"_New"
#print(df.describe())
df_new = [(df["number_project"]>4)&(df["salary"]=="low")]
df_new["number_project"].min()

=============================================================
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 24 16:05:25 2019

@author: DEll
"""

import matplotlib.pyplot as plt:plt.rcdefaults()
import numpy as nb
import matplotlib.pyplot as plt
objects=('python','c++','java','pearl','scala','lisb')
y_pos=nb.arange(len(objects))
performance=[10,8,6,4,2,1]
plt.bar(y_pos,performance,align='center')
plt.xticks(y_pos,objects)
plt.ylabel("usage")
plt.title('programming language function')
plt.show()

=================================
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 24 16:14:01 2019

@author: DEll
"""

import numpy as nb
import matplotlib.pyplot as plt
x=np.arange(0,3*np.pi,0.1)
y=np.sin(x)
plt.title('sine wave')
plt.plot(x,y)
plt.show()
==================================
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 24 16:16:47 2019

@author: DEll
"""

import pandas as pd
import numpy as np
df =pd.DataFrame(np.random.rand(50,4),columns=['a','b','c','d'])
df.plot.scatter(x='a',y='b')
=============================
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 24 16:20:07 2019

@author: DEll
"""
import pandas as pd
import numpy as np
df=pd.DataFrame(np.random.rand(10,5),columns=['a','b','c','d','e'])
df.plot.box(grid='True')

=======================================