air_quality["london_mg_per_cubic"] = air_quality["station_london"] * 1.882

​

In [5]: air_quality.head()

Out[5]: 

                     station_antwerp  ...  london_mg_per_cubic

datetime                              ...                     

2019-05-07 02:00:00              NaN  ...               43.286

2019-05-07 03:00:00             50.5  ...               35.758

2019-05-07 04:00:00             45.0  ...               35.758

2019-05-07 05:00:00              NaN  ...               30.112

2019-05-07 06:00:00              NaN  ...                  NaN

​

[5 rows x 4 columns]

# Import pandas package

import pandas as pd

# Define a dictionary containing Students data

data = {'Name': ['Jai', 'Princi', 'Gaurav', 'Anuj'],

        'Height': [5.1, 6.2, 5.1, 5.2],

        'Qualification': ['Msc', 'MA', 'Msc', 'Msc']}

# Convert the dictionary into DataFrame

df = pd.DataFrame(data)

# Declare a list that is to be converted into a column

address = ['Delhi', 'Bangalore', 'Chennai', 'Patna']

# Using 'Address' as the column name

# and equating it to the list

df['Address'] = address

# Observe the result

print(df)