PYTHON

dataframein python

import pandas as pd

data = {'First Column Name':  ['First value', 'Second value',...],
        'Second Column Name': ['First value', 'Second value',...],
         ....
        }

df = pd.DataFrame (data, columns = ['First Column Name','Second Column Name',...])

dataframe in python

# 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)

pd.datafram

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

dataframe python

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

pandas dataframe

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

data frame

>>> 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

pd dataframe

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

Pandas DataFrame

import pandas as pd

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

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

dataframe

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