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In this python pandas program, we will add two series using pandas.
import pandas as pd
df1 = pd.Series([1,6,9,5])
df2 = pd.Series([5,2,4,5])
print(df1+df2)
Output :
0 6
1 8
2 13
3 10
dtype: int64
In this python pandas program, we will convert a Pandas series to a list and print its type.
import pandas as pd
df = pd.Series([15,43,88,23])
print(df)
print(type(df))
print("Convert Pandas Series to Python list")
print(df.tolist())
print(type(df.tolist()))
Output :
0 15
1 43
2 88
3 23
dtype: int64
<class 'pandas.core.series.Series'>
Convert Pandas Series to Python list
[15, 43, 88, 23]
<class 'list'>
In this python pandas program, we will create and display a one-dimensional array.
import pandas as pd
df = pd.Series([15,43,88,23])
print(df)
Output :
0 15
1 43
2 88
3 23
dtype: int64
convert a series to a list and print its type
In this python numpy program, we will create an array using dtype as complex.
import numpy as np
a = np.array([5,4], dtype = complex)
print(a)
Output :
[5.+0.j 4.+0.j]
convert a tuple into an array.
In this python numpy program, we will convert a tuple into a NumPy array.
import numpy as np
x = np.asarray((5,7,0))
print(x)
Output :
[5 7 0]
In this python numpy program, we will round off the elements in an array using ceil function.
import numpy as np
arr = np.array([12.202, 90.23120, 123.88, 23.202])
print(np.ceil(arr)
Output :
[ 13. 91. 124. 24.]
In this python numpy program, we will round off the elements in an array using the floor function.
import numpy as np
arr = np.array([12.202, 90.23120, 123.88, 23.202])
print(np.floor(arr))
Output :
[ 12. 90. 123. 23.]
In this python numpy program, we will round off the elements in an array up to two digits.
import numpy as np
arr = np.array([12.202, 90.23120, 123.88, 23.202])
print(np.round(arr,2))
Output :
[ 12.2 90.23 123.88 23.2 ]
In this python numpy program, we will calculate the tan angle of an array using NumPy.
import numpy as np
angle = np.array([45,13])
print(f"Tan of {angle}: ",np.tan(angle))
Output :
Tan of [45 13]: [1.61977519 0.46302113]
In this python numpy program, we will calculate the cos angle of an array using NumPy.
import numpy as np
angle = np.array([45,13])
print(f"Cos of {angle}: ",np.cos(angle))
Output :
Cos of [45 13]: [0.52532199 0.90744678]