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Python Pandas Problems
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
Python Pandas Programs helps to filter and sort the tabular data and gain expertise on it, Pandas is an open-source library for data analysis in Python. Pandas is one of the most popular and fastest-growing libraries in the Python ecosystem.
1). Python Pandas program to create and display a one-dimensional array-like object containing an array of data.
Output:
15
43
88
23
2). Python Pandas program to convert a series to a list and print its type.
3). Python Pandas program to add two series.
Input:
A=[1,6,9,5]
B=[5,2,4,5]
Output:
[6,8,13,10]
4). Python Pandas program to subtract two series.
Input:
A=[1,6,9,5]
B=[5,2,4,5]
Output:
[-4,4,5,0]
5). Python Pandas program to multiply two series.
Input:
A=[1,6,9,5]
B=[5,2,4,5]
Output:
[5,12,36,25]
6). Python Pandas program to divide two series.
Input:
A=[1,6,9,5]
B=[5,2,4,5]
Output:
[0.2,3,2.5,1]
7). Python Pandas program to check whether elements in the series are equal or not.
Input:
A=[1,6,9,5]
B=[5,2,4,5]
Output:
False
False
False
True
8). Python Pandas program to check whether elements in the series are greater than other series.
Input:
A=[1,6,9,5]
B=[5,2,4,5]
Output:
False
True
True
False
9). Python Pandas program to convert a dictionary to a series.
Input:
A={name: Virat, sport: cricket, age: 32}
Output:
Name Virat
Sport Cricket
Age 32
10). Python Pandas program to convert a NumPy array to a Pandas series.
Input:
[5,3,8,9,0]
Output:
0 5
1 3
2 8
3 9
4 0
11). Python Pandas program to change the data type of given a column or a Series.
Input:
0 54
1 27.90
2 sqa
3 33.33
4 tools
dtype: object
Output:
0 54.00
1 27.90
2 NaN
3 33.33
4 NaN
dtype:float64
12). Python Pandas program to convert a given Series to an array.
Input:
0 54
1 27.90
2 sqa
3 33.33
4 tools
dtype: object
Output:
[’54’, ‘27.90’,’sqa’,’33.33′, ‘tools’]
13). Python Pandas program to convert a series of lists into one series.
Input:
[Sqa, tool]
[Learning, python]
[Is, fun]
Output:
0 [Sqa, tool]
1 [Learning, python]
2 [Is, fun]
dtype: object
14). Python Pandas program to sort a given Series.
Input:
0 55
1 23
2 10
3 87
Output:
0 10
1 23
2 55
3 87
15). Python Pandas program to add some data to an existing series.
Input:
0 54
1 27.90
2 sqa
3 33.33
4 tools
Output:
0 54
1 27.90
2 sqa
3 33.33
4 tools
5 python
6 100
16). Python Pandas program to create a subset of a given series based on value and condition.
Input:
0 10
1 25
2 69
3 74
4 33
5 54
6 21
Output:
Subset of the above Data Series:
0 10
1 25
4 33
6 21
17). Python Pandas program to change the order of the index of a given series.
Input:
0 Sqa
1 tools
2 Learning
3 python
4 Is
5 fun
Output:
2 Learning
3 python
0 Sqa
1 tools
4 Is
5 fun
18). Python Pandas program to find the mean of the data of a given series.
Input:
0 5
1 4
2 8
3 6
Output:
5.75
19). Python Pandas program to find the standard deviation of the given Series.
Input:
0 2
1 4
2 6
3 8
4 10
Output: = 3.162277
20). Python Pandas program to get the items of a series not present in another series.
Input:
A=
0 4
1 7
2 3
B=
0 9
1 4
2 3
Output:
Items of A that are not present in B
1 7
21). Python Pandas program to calculate the maximum value from a series.
Input:
0 54
1 38
2 67
3 87
Output:
87
22). Python Pandas program to calculate the minimum value from a series.
Input:
0 54
1 38
2 67
3 87
Output:
38
23). Python Pandas program to calculate the frequency of each value of a series.
Input:
0 3
1 0
2 3
3 2
4 2
5 0
6 3
7 3
8 2
Output:
0 2
2 3
3 4
24). Python Pandas program to extract items at given positions of a series.
Input:
0 3
1 0
2 3
3 2
4 2
5 0
6 3
7 3
8 2
Output:
1 0
4 2
7 3
25). Python Pandas program to convert the first and last character of each word to upper case in each word of a given series.
Input:
0 sqatools
1 python
2 data
3 science
Output:
0 SqatoolS
1 PythoN
2 DatA
3 SciencE
26). Python Pandas program to calculate the number of characters in each word in a series.
Input:
0 Virat
1 Rohit
2 Pant
3 Shikhar
Output:
0 6
1 6
2 4
3 7
27). Python Pandas program to convert a series of date strings to a time-series.
Input:
0 2 Feb 2020
1 5/11/2021
2 7-8-2022
Output:
0 2020-02-02 00:00:00
1 2021-11-05 00:00:00
2 2022-08-07 00:00:00
28). Python Pandas program to filter words from a given series that contain at least one vowel.
Input:
0 sqatools
1 SQL
2 python
3 white
4 bsc
Output:
0 sqatools
2 python
3 white
29). Python Pandas program to find the index of the first occurrence of the smallest and largest value of a series.
Input:
0 54
1 25
2 38
3 87
Output:
1
3
30). Python Pandas program to convert a dictionary into DataFrame.
31). Python Pandas program to print the first n rows of a Dataframe.
32). Python Pandas program to print the last n rows of a DataFrame.
33). Python pandas program to print the selected columns from DataFrame.
Input:
Sr.no. name age
1 Alex 30
2 John 27
3 Peter 29
Output:
name age
Alex 30
John 27
Peter 29
34). Python Pandas program to print the selected rows from DataFrame.
Input:
Sr.no. name age
1. Alex 30
2. John 27
3. Peter 29
Output:
Sr.no. name age
2. John 27
35). Python Pandas program to select the rows where the age is greater than 29.
Input:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
Output:
Sr.no. name age
1. Alex. 30
4. Klaus. 33
36). Python Pandas program to count the number of rows and columns in a DataFrame.
Input:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
Output:
No of rows:4
No of columns:3
37). Python Pandas program to select the rows where age is missing.
Input:
Sr.no. name age
1. Alex. 30
2. John. np.nan
3. Peter. 29
4. Klaus. np.nan
Output:
Sr.no. name age
2. John. np.nan
4. Klaus. np.nan
38). Python Pandas program to print the names who’s age is between 25-30 using Pandas.
Input:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
Output:
Sr.no. name age
2. John. 27
3. Peter. 29
39). Python Pandas program to change the age of John to 24.
Input:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
Output:
Sr.no. name age
1. Alex. 30
2. John. 24
3. Peter. 29
4. Klaus. 33
40). Python Pandas program to calculate the sum of age column.
Input:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
Output:
119
41). Python Pandas program to add a new row in the DataFrame.
Input:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
Output:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
5. Jason. 28
42). Python Pandas program to sort the DataFrame first by ‘name’ in ascending order.
Input:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
Output:
Sr.no. name age
1. Alex. 30
2. John. 27
4. Klaus. 33
3. Peter. 29
43). Python Pandas program to calculate the mean of age column.
Input:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
Output:
29.75
44). Python Pandas program to sort the DataFrame by ‘age’ column in ascending order.
Input:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
Output:
Sr.no. name age
2. John. 27
3. Peter. 29
1. Alex. 30
4. Klaus. 33
45). Python Pandas program to replace John with Jim.
Input:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
Output:
Sr.no. name age
1. Alex. 30
2. Jim. 27
3. Peter. 29
4. Klaus. 33
46). Python Pandas program to delete records for John.
Input:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
Output:
Sr.no. name age
1. Alex. 30
3. Peter. 29
4. Klaus. 33
47). Python Pandas program to add a new column in a DataFrame.
Input:
Sr.no. name age
1. Alex. 30
2. John. 27
3. Peter. 29
4. Klaus. 33
Output:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 58000
4. Klaus. 33. 66000
48). Python Pandas program to iterate over rows in a DataFrame.
Input:
A=[{name:Yash, percentage:78},{name:Rakesh, percentage: 80},{
name: Suresh, percentage:60}]
Output:
Yash 78
Rakesh 80
Suresh 60
49). Python Pandas program to get a list of column headers from the DataFrame.
Input:
A={name:[Virat,Messi, Kobe], sport:[cricket, football, basketball]}
Output:
[name, sport]
50). Python Pandas program to rename columns of a given DataFrame.
Input:
C1. C2. C3
1. 6. 8
3. 8. 2
9. 0. 6
Output:
A. B. C
1. 6. 8
3. 8. 2
9. 0. 6
51). Python Pandas program to change the order of columns in a DataFrame.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 58000
4. Klaus. 33. 66000
Output:
Sr.no. name Salary Age
1. Alex. 50000. 30
2. John. 65000 27
3. Peter. 58000. 29
4. Klaus. 66000 33
52). Python Pandas program to write a DataFrame to a CSV file using a tab separator.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 58000
4. Klaus. 33. 66000
Output:
Sr.no\tname\tage\tSalary
1\tAlex\t30\t50000
2\tJohn\t27\t65000
3\tPeter\t29\t58000
4\tKlaus\t33\t66000
53). Python Pandas program to count Country wise population from a given data set (columns of a data set- Country, population).
Output:
Country. Population
China. 57289229
India. 49262728
.
.
.
54). Python Pandas program to replace all the NaN values with a scaler in a column of a Dataframe.
Input:
Sr.no. name age
1. Alex. 30
2. John. np.nan
3. Peter. 29
4. Klaus. np.nan
Output:
Sr.no. name age
1. Alex. 30
2. John. 25
3. Peter. 29
4. Klaus. 25
55). Python Pandas program to count the NaN values in a Dataframe.
Input:
Sr.no. name age
1. Alex. 30
2. John. np.nan
3. Peter. 29
4. Klaus. np.nan
Output:
2
56). Python Pandas program to shuffle rows in a DataFrame.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output:
Sr.no. name age. Salary
2. John. 27. 65000
4. Klaus. 33. 59000
1. Alex. 30. 50000
3. Peter. 29. 63000
57). Python Pandas program to rename a column in a DataFrame.
Input:
Rank. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
58). Python Pandas program to get a list of records in a column of a DataFrame.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output:
[Alex, John, Peter, Klaus]
59). Python Pandas program to find the row where the value of a column is maximum.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output: Row where salary is maximum 2
60). Python Pandas program to find the row where the value of a given column is minimum.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output= Row where salary is minimum 1
61). Python Pandas program to check whether a column is present in a DataFrame.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output:
The company column is not present in DataFrame
The name column is present in DataFrame
62). Python Pandas program to get the datatypes of columns of a DataFrame.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output:
Sr.no. Int64
Name. Object
Age. Int64
Salary. Int64
63). Python Pandas program to convert a list of lists into a Dataframe.
Input:
[[Virat, cricket],[Messi, football]]
Output:
0 column1 column2
1. Virat. Cricket
2. Messi. Football
64). Python Pandas program to find the index of a column from the DataFrame.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output: Index number of age is 2
65). Python Pandas program to select all columns except one column in a DataFrame.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output:
Sr.no. name Salary
1. Alex. 50000
2. John. 65000
3. Peter. 63000
4. Klaus. 59000
66). Python Pandas program to remove the first n rows of a DataFrame.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output:
After removing the first 2 rows
Sr.no. name age. Salary
3. Peter. 29. 63000
4. Klaus. 33. 59000
67). Python Pandas program to remove the last n rows of a given DataFrame.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output:
After removing the last 2 rows
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
68). Python Pandas program to reverse the order of rows of a given DataFrame.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output:
Sr.no. name age. Salary
4. Klaus. 33. 59000
3. Peter. 29. 63000
2. John. 27. 65000
1. Alex. 30. 50000.
69). Python Pandas program to reverse the order of columns in a DataFrame.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output:
Salary. age. Name. Sr.no.
50000. 30. Alex. 1
65000. 27. John. 2
63000. 29. Peter. 3
59000. 33. Klaus. 4
70). Python Pandas program to select columns by the object datatype from the DataFrame.
Input:
Sr.no. name age. Salary
1. Alex. 30. 50000
2. John. 27. 65000
3. Peter. 29. 63000
4. Klaus. 33. 59000
Output:
Select string columns
Name
Alex
John
Peter
Klaus
71). Python Pandas program to convert continuous values of a column of a DataFrame to categorical.
Input:
{Student_id:[1,2,3,4], marks:[30,50,70,80]}
Output:
0. Marks
1. Fail
2. 2nd class
3. 1st class
4. 1st class with distinction
72). Python Pandas program to convert all the string values in the DataFrame to uppercases.
Input:
0. cricket
1. Yes
2. pass
3. FAIL
Output:
0. Cricket
1. Yes
2. Pass
3. Fail
73). Python Pandas program to check whether only the upper case is present in a column of a DataFrame.
Input:
0. Name
1. Kate
2. Jason
3. ROBERT
4. MARK
5. Dwyane
Output:
0. Name. Name
1. Kate. False
2. Jason. False
3. ROBERT True
4. MARK. True
5. Dwyane. False
74). Python Pandas program to check whether only the lower case is present in a given column of a DataFrame .
Input:
0. Name
1. kate
2. jason
3. ROBERT
4. MARK
5. dwyane
Output:
0. Name. Name
1. Kate. True
2. Jason. True
3. ROBERT False
4. MARK. False
5. dwyane. True
75). Python Pandas program to check whether only numeric values are present in a column of a DataFrame.
Input:
0. Marks
1. Pass
2. 88
3. 2nd class
4. 90
5. Distinction
Output:
0. Marks. Marks
1. Pass. False
2. 88. True
3. 2nd class. False
4. 90. True
5. Distinction. False
76). Python Pandas program to check whether only alphabetic values present in a column of a DataFrame.
Input:
0. Marks
1. Pass
2. 88
3. First class
4. 90
5. Distinction
Output:
0. Marks. Marks
1. Pass. True
2. 88. False
3. First class. False
4. 90. False
5. Distinction. True
77). Python Pandas program to get the length of the integer of a column in a DataFrame.
Input:
0. Sales
1. 55000
2. 75000
3. 330000
4. 10000
Output:
0. Sales. Sales_length
1. 55000. 5
2. 75000. 5
3. 330000. 6
4. 1000. 4
78). Python Pandas program to extract email from a specified column of a given DataFrame.
Input:
0. Company_mail
1. TCS. tcs@yahoo.com
2. Apple. apple@icloud.com
3 Google. google@gmail.com
Output:
0. Company_mail email
1. TCS. tcs@yahoo.com tcs@yahoo.com
2. Apple. apple@icloud.com apple@icloud.com
3 Google.google@gmail.com google@gmail.com
79). Python Pandas program to extract the hash attached word from Twitter text from the specified column of a given DataFrame.
Input:
0. Tweets
1. Pune #love
2. #boycottmovie
3. enjoying #peace
Output:
0. Tweets extracted_word
1. Pune #love. love
2. #boycottmovie. boycottmovie
3. enjoying #peace peace
80). Python Pandas program to extract only words from a column of a DataFrame.
Input:
Name Address
Ramesh. 297 shukrawar peth
Suresh. 200 ravivar peth
Sanket. 090 shanivar peth
Output:
Name Address Only_words
Ramesh. 297 shukrawar peth shukrawar peth
Suresh. 200 ravivar peth ravivar peth
Sanket. 090 shanivar peth shanivar peth
81). Python Pandas program to join the two Dataframes along rows.
Input:
D1
Id Name. Age
1. Yash. 30
2. Gaurav. 27
3. Sanket. 28
D2
Id. Name. Age
4. Atharva. 26
3. Tanmay. 22
Output:
Id Name. Age
1. Yash. 30
2. Gaurav. 27
3. Sanket. 28
4. Atharva. 26
3. Tanmay. 22
82). Python Pandas program to join the two Dataframes along columns.
Input:
D1
Id Name. Age
1. Yash. 30
2. Gaurav. 27
3. Sanket. 28
D2
Id. Name. Age
4. Atharva. 26
3. Tanmay. 22
Output:
Id Name. Age Id. Name. Age
1. Yash. 30. 4. Atharva. 26
2. Gaurav. 27. 3. Tanmay. 22
3. Sanket. 28
83). Python Pandas program to join the two Dataframes using the common column of both Dataframes.
Input:
D1
Id. Name marks1
S1. Ketan. 90
S2. Yash. 87
S3. Abhishek 77
D2
Id. Name. Marks2
S2. Yash. 70
S4. Gaurav. 65
Output:
Id. Name. Marks1. name. Marks2
S2. Yash. 87. Yash. 70
84). Python Pandas program to merge two Dataframes with different columns.
85). Python Pandas program to detect missing values from a DataFrame.
Input:
Sr.no. name age
1. Alex. 30
2. John. np.nan
3. Peter. 29
4. Klaus. np.nan
Output:
Sr.no. name age
False False. False
False False True
False False False
False False True
86). Python Pandas program to identify the columns from the DataFrame which have at least one missing value.
Input:
Sr.no. name age
1. Alex. 30
2. np.nan. np.nan
3. Peter. 29
4. Klaus. np.nan
Output:
Sr.no. False
Name. True
Age. True
87). Python Pandas program to count the number of missing values in each column of a DataFrame.
Input:
Sr.no. name age
1. Alex. 30
2. np.nan. np.nan
3. Peter. 29
4. Klaus. np.nan
Output:
Sr.no. 0
Name. 1
Age. 2
88). Python Pandas program to drop the rows where at least one element is missing in a DataFrame.
Input:
Sr.no. name age
1. Alex. 30
2. np.nan. np.nan
3. Peter. 29
4. Klaus. np.nan
Output:
Sr.no. name age
1. Alex. 30
3. Peter. 29
89). Python Pandas program to drop the columns where at least one element is missing in a DataFrame.
Input:
Sr.no. name age
1. Alex. 30
2. np.nan. np.nan
3. Peter. 29
4. Klaus. np.nan
Output:
Sr.no.
1
2
3
4
90). Python Pandas program to drop the rows where all elements are missing in a DataFrame.
Input:
Sr.no. name age
1. Alex. 30
np.nan np.nan. np.nan
3. Peter. 29
4 Klaus. np.nan
Output:
Sr.no. name age
1. Alex. 30
3. Peter. 29
4. Klaus. np.nan
91). Python Pandas program to replace NaNs with the value from the previous row in a DataFrame.
Input:
Sr.no. name age
1. Alex. 30
2. np.nan. np.nan
3. Peter. 29
4. Klaus. 22
Output:
Sr.no. name age
1. Alex. 30
2. Alex. 30
3. Peter. 29
4. Klaus. 22
92). Python Pandas program to replace NaNs with the value from the next row in a DataFrame.
Input:
Sr.no. name age
1. Alex. 30
2. np.nan. np.nan
3. Peter. 29
4. Klaus. 22
Output:
Sr.no. name age
1. Alex. 30
2. Peter. 29
3. Peter. 29
4. Klaus. 22
93). Python Pandas program to replace NaNs with mean in a DataFrame.
Input:
Sr.no. name age
1. Alex. 30
2. np.nan. np.nan
3. Peter. 29
4. Klaus. 22
Output:
Sr.no. name age
1. Alex. 30
2. np.nan. 27
3. Peter. 29
4. Klaus. 22
94). Python Pandas program to replace the missing values with the most frequent values present in each column of a given DataFrame.
Input:
Sr.no. name age
1. Alex. 30
2. np.nan. np.nan
3. Peter. 29
4. Klaus. 22
5. Stefen. 22
Output:
Sr.no. name age
1. Alex. 30
2. np.nan. 22
3. Peter. 29
4. Klaus. 22
5. Stefen. 22
95). Python Pandas program to replace NaNs with the median value in a DataFrame.
Input:
Sr.no. name age
1. Alex. 30
2. np.nan. np.nan
3. Peter. 29
4. Klaus. 22
Output:
Sr.no. name age
1. Alex. 30
2. John. 29
3. Peter. 29
4. Klaus. 22
96). Python Pandas program to import a CSV file.
97). Python Pandas program to import an xlsx file.