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new column dataframe pandas

Anjali S Nair answered on March 5, 2023 Popularity 9/10 Helpfulness 2/10

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new column dataframe pandas

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# 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)

Popularity 9/10 Helpfulness 2/10 Language python

Source: www.geeksforgeeks.org

Tags: dataframe pandas python

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Contributed on Mar 05 2023

Anjali S Nair

0 Answers Avg Quality 2/10

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create new column pandas

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import pandas as pd

# Assuming we have a dataframe named 'df' and we want to create a new column 'new_column'

# Method 1: Assigning a value to all rows in the new column
df['new_column'] = 'some value'

# Method 2: Assigning values using calculations based on other columns
df['new_column'] = df['column1'] + df['column2']

# Method 3: Assigning values using conditions
df['new_column'] = df['column'].apply(lambda x: 'yes' if x > 0 else 'no')

# Method 4: Assigning values using a function
def some_function(row):
    # perform some calculations
    return result

df['new_column'] = df.apply(some_function, axis=1)

Popularity 9/10 Helpfulness 5/10 Language python

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Contributed on Sep 12 2023

YOU.com

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new column dataframe pandas

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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]

Popularity 9/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: dataframe data

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Contributed on Mar 05 2023

Anjali S Nair

0 Answers Avg Quality 2/10

new column dataframe pandas

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