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Python practice problems help beginners to become experts in a python programming language with a small amount of practice effort.
In this python pandas program,we will find the mean of the data of a given series using pandas library.
import pandas as pd
df = pf.Series([5,4,8,6])
print(df)
print("Mean of the given series: ",df.mean())
Output :
0 5
1 4
2 8
3 6
dtype: int64
Mean of the given series: 5.75
In this python pandas program, we will change the order of the index of a given series using pandas library.
import pandas as pd
df = pd.Series(data = ['sqa','tools','learning','python','is','fun'],
index = [0,1,2,3,4,5])
print("Original Data Series:")
print(df)
df = df.reindex(index = [2,3,0,1,4,5])
print("Data Series after changing the order of index:")
print(df)
Output :
Original Data Series:
0 sqa
1 tools
2 learning
3 python
4 is
5 fun
dtype: object
Data Series after changing the order of index:
2 learning
3 python
0 sqa
1 tools
4 is
5 fun
dtype: object
In this python pandas program, we will create a subset of a given series using Pandas library.
import pandas as pd
df = pd.Series([10,25,69,74,33,54,21])
print(df)
print("Subset of the above Data Series:")
new = df[df < 40]
print(new)
Output :
0 10
1 25
2 69
3 74
4 33
5 54
6 21
dtype: int64
Subset of the above Data Series:
0 10
1 25
4 33
6 21
dtype: int64
In this python pandas program, we will add some data to an existing series using pandas library.
import pandas as pd
df = pd.Series([54,27.9,'sqa',33.33,'tools'])
print("Original Data Series:")
print(df)
print("Data Series after adding some data:")
new = df.append(pd.Series(['python',100]))
print(new)
Output :
Original Data Series:
0 54
1 27.9
2 sqa
3 33.33
4 tools
dtype: object
Data Series after adding some data:
0 54
1 27.9
2 sqa
3 33.33
4 tools
0 python
1 100
dtype: object
In this python pandas program, we will sort a given Series using Pandas library.
import pandas as pd
df = pd.Series([55,23,10,87])
print("Original Data Series:")
print(df)
new = pd.Series(df).sort_values()
print(new)
Output :
Original Data Series:
0 55
1 23
2 10
3 87
dtype: int64
2 10
1 23
0 55
3 87
dtype: int64
In this python pandas program, we will convert a series of lists into one series using Pandas library.
import pandas as pd
a = [['Sqa','tool'],['Learning','python'],['Is','fun']]
result = pd.Series(a)
print(result)
Output :
0 [Sqa, tool]
1 [Learning, python]
2 [Is, fun]
dtype: object
In this python pandas program, we will convert a given series to an array using NumPy and Pandas library.
import numpy as np
import pandas as pd
df1 = pd.Series([54,27.90,'sqa',33.33,'tools'])
print("Original Data Series:")
print(df1)
print("Series to an array")
result = np.array(df1.values.tolist())
print (result)
Output :
Original Data Series:
0 54
1 27.9
2 sqa
3 33.33
4 tools
dtype: object
Series to an array
['54' '27.9' 'sqa' '33.33' 'tools']
In this python pandas program, we will change the data type of given a column using pandas library.
import pandas as pd
df1 = pd.Series([54,27.90,'sqa',33.33,'tools'])
print("Original Data Series:")
print(df1)
print("Change the said data type to numeric:")
df2 = pd.to_numeric(df1, errors='coerce')
print(df2)
Output :
Original Data Series:
0 54
1 27.9
2 sqa
3 33.33
4 tools
dtype: object
Change the said data type to numeric:
0 54.00
1 27.90
2 NaN
3 33.33
4 NaN
dtype: float64
In this python pandas program, we will convert a NumPy array to a Pandas series.
import numpy as np
import pandas as pd
array = np.array([5,3,8,9,0])
result = pd.Series(array)
print(result)
Output :
0 5
1 3
2 8
3 9
4 0
dtype: int32
In this python pandas program, we will convert a dictionary to a Pandas series.
import pandas as pd
D = {'name':'Virat','sport':'cricket','age':32}
result = pd.Series(D)
print(result)
Output :
name Virat
sport cricket
age 32
dtype: object