How to pretty-print an entire Pandas DataFrame?

Example:

# Importing pandas package
import pandas as pd

# Creating a dictionary
d = {
    "Name":['Hari','Mohan','Neeti','Shaily','Ram','Umesh','Shirish','Rashmi','Pradeep','Neelam','Jitendra','Manoj','Rishi'],
    "Age":[25,36,26,21,30,33,35,40,39,45,42,39,48],
    "Gender":['Male','Male','Female','Female','Male','Male','Male','Female','Male','Female','Male','Male','Male'],
    "Profession":['Doctor','Teacher','Singer','Student','Engineer','CA','Cricketer','Teacher','Teacher','Politician','Doctor','Manager','Clerk'],
    "Title":['Mr','Mr','Ms','Ms','Mr','Mr','Mr','Ms','Mr','Ms','Mr','Mr','Mr'],
    "Salary":[200000,50000,500000,0,100000,75000,10000000,50000,50000,200000,200000,150000,15000],
    "Location":['Amritsar','Indore','Mumbai','Bhopal','Gurugram','Pune','Banglore','Ranchi','Surat','Chennai','Shimla','Kolkata','Raipur'],
    "Marriage Status":[0,1,1,0,1,0,0,1,1,1,0,1,0]
}

# Now, Create DataFrame
df=pd.DataFrame(d)

# Printing the created DataFrame
print("Created DataFrame:\n")
print(df,"\n\n")

Output:

Created DataFrame:

        Name  Age  Gender       ...           Salary  Location  Marriage Status
0       Hari   25    Male       ...           200000  Amritsar                0
1      Mohan   36    Male       ...            50000    Indore                1
2      Neeti   26  Female       ...           500000    Mumbai                1
3     Shaily   21  Female       ...                0    Bhopal                0
4        Ram   30    Male       ...           100000  Gurugram                1
5      Umesh   33    Male       ...            75000      Pune                0
6    Shirish   35    Male       ...         10000000  Banglore                0
7     Rashmi   40  Female       ...            50000    Ranchi                1
8    Pradeep   39    Male       ...            50000     Surat                1
9     Neelam   45  Female       ...           200000   Chennai                1
10  Jitendra   42    Male       ...           200000    Shimla                0
11     Manoj   39    Male       ...           150000   Kolkata                1
12     Rishi   48    Male       ...            15000    Raipur                0

[13 rows x 8 columns] 

Hence, by setting different options using the set_options() method, we are now able to see all the columns of our DataFrame including 'Profession' and 'Title'.