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it's_flat answered on March 11, 2021 Popularity 10/10 Helpfulness 3/10

answer pd.datafram

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pd.datafram

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data = np.array([(1, 2, 3), (4, 5, 6), (7, 8, 9)],
...                 dtype=[("a", "i4"), ("b", "i4"), ("c", "i4")])
>>> df3 = pd.DataFrame(data, columns=['c', 'a'])
...
>>> df3
   c  a
0  3  1
1  6  4
2  9  7

Popularity 10/10 Helpfulness 3/10 Language python

Source: pandas.pydata.org

Tags: python

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Contributed on Jun 30 2022

it's_flat

0 Answers Avg Quality 2/10

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dataframe in python

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# Python code demonstrate creating 
# DataFrame from dict narray / lists 
# By default addresses.
 
import pandas as pd
 
# intialise data of lists.
data = {'Name':['Tom', 'nick', 'krish', 'jack'],
        'Age':[20, 21, 19, 18]}
 
# Create DataFrame
df = pd.DataFrame(data)
 
# Print the output.
print(df)

Popularity 10/10 Helpfulness 4/10 Language python

Source: www.geeksforgeeks.org

Tags: dataframe data

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Contributed on Jan 07 2022

pra's play

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dataframe

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import pandas as pd 
 
# Creating a dictionary to store data
data = {'Name':['Tony', 'Steve', 'Bruce', 'Peter' ],
        'Age': [35, 70, 45, 20] } 
 
# Creating DataFrame 
df = pd.DataFrame(data) 
 
# Print the dataframe
df

Popularity 10/10 Helpfulness 3/10 Language python

Source: www.geeksforgeeks.org

Tags: dataframe data

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Contributed on Nov 13 2022

Sirada Boonchuay

0 Answers Avg Quality 2/10

pd dataframe

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df = pd.DataFrame ({"x": x_array, "y": y_array})

Popularity 10/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: dataframe data

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Contributed on Mar 11 2021

Light Lynx

0 Answers Avg Quality 2/10

dataframe python

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# import pandas as pd  
import pandas as pd  
  
# Calling DataFrame constructor  
df = pd.DataFrame()  
  
print(df)

Popularity 10/10 Helpfulness 3/10 Language python

Source: www.javatpoint.com

Tags: dataframe data

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Contributed on Mar 29 2022

Giulia Potgens

0 Answers Avg Quality 2/10

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 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

Source: Grepper

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

pd.datafram

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