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pandas in python

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37_Omkar Jadhav answered on May 28, 2020 Popularity 10/10 Helpfulness 3/10

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pandas in python

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# this is pandas in python
import pandas as pd
dic={'name':["mark",'ellon'],
     'roll_no':[32,24]}
df=pd.DataFrame(dic)
print(df)

Popularity 10/10 Helpfulness 3/10 Language python

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Tags: pandas python

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Contributed on Sep 01 2022

37_Omkar Jadhav

0 Answers Avg Quality 2/10

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pandas dataframe

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d = {'col1': [1, 2], 'col2': [3, 4]}
>>> df = pd.DataFrame(data=d)
>>> df
   col1  col2
0     1     3
1     2     4

Popularity 10/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: dataframe data

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Contributed on Nov 21 2021

Nutty Newt

0 Answers Avg Quality 2/10

pandas in python

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If you use Anaconda then it is preinstalled
otherwise: pip install pandas

import pandas as pd
pd.__version__

Popularity 10/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: pandas pa

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Contributed on May 28 2020

Bored Coder

0 Answers Avg Quality 2/10

Pandas DataFrame

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import pandas as pd

data = {
	"calories" : [420, 380, 390],
    "duration" : [50, 40, 45]
}

df = pd.DataFrame(data)
print(df)

Popularity 10/10 Helpfulness 2/10 Language python

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Tags: dataframe data

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Contributed on Apr 25 2022

Astra Logical

0 Answers Avg Quality 2/10

Pandas DataFrame

Comment

d = {'col1': [1, 2], 'col2': [3, 4]}
>>> df = pd.DataFrame(data=d)
>>> df
   col1  col2
0     1     3
1     2     4

Popularity 10/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: dataframe data

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Contributed on Apr 08 2023

Timothy Ajewole

0 Answers Avg Quality 2/10

pandas DataFrame

Comment

df = pd.DataFrame(
   ....:     {
   ....:         "A": ["foo", "bar", "foo", "bar", "foo", "bar", "foo", "foo"],
   ....:         "B": ["one", "one", "two", "three", "two", "two", "one", "three"],
   ....:         "C": np.random.randn(8),
   ....:         "D": np.random.randn(8),
   ....:     }
   ....: )
   ....: 

In [88]: df
Out[88]: 
     A      B         C         D
0  foo    one  1.346061 -1.577585
1  bar    one  1.511763  0.396823
2  foo    two  1.627081 -0.105381
3  bar  three -0.990582 -0.532532
4  foo    two -0.441652  1.453749
5  bar    two  1.211526  1.208843
6  foo    one  0.268520 -0.080952
7  foo  three  0.024580 -0.264610

Popularity 10/10 Helpfulness 1/10 Language python

Source: pandas.pydata.org

Tags: dataframe data

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Contributed on Sep 16 2023

Muhammad Yousaf Rana

0 Answers Avg Quality 2/10

using pandas

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import boto3
import pandas as pd

def store_csv_data_in_dynamodb(table_name, csv_file_path):
    # Initialize DynamoDB client
    dynamodb = boto3.resource('dynamodb')
    table = dynamodb.Table(table_name)

    # Read CSV file using pandas
    csv_data = pd.read_csv(csv_file_path)
    
    # Convert DataFrame to a list of dictionaries
    items = csv_data.to_dict('records')
    
    # Batch write items in batches of 25 (DynamoDB limit)
    with table.batch_writer() as batch:
        for item in items:
            batch.put_item(Item=item)
    
    print("CSV data stored in DynamoDB successfully.")

# Usage example
table_name = 'your-dynamodb-table-name'
csv_file_path = 'path/to/your/csv/file.csv'
store_csv_data_in_dynamodb(table_name, csv_file_path)

Popularity 9/10 Helpfulness 1/10 Language python

Source: chat.openai.com

Tags: pandas pa

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Contributed on Jun 26 2023

Thomas

0 Answers Avg Quality 2/10

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