PYTHON

how to create dataframe in python

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.
df

create a df in pandas

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',...])
print (df)

how do we create a dataframe in python

# Import pandas library 
import pandas as pd 
  
# initialize list of lists 
data = [['Group A', 85], ['Group B', 92], ['Group C', 88]] 
  
# Create the pandas DataFrame 
df = pd.DataFrame(data, columns = ['Name', 'Score']) 
  
# print dataframe. 
df 

create a dataframe python

import numpy as np
import pandas as pd
vect1=np.zeros(10)
vect2=np.ones(10)
df=pd.DataFrame({'col1':vect1,'col2':vect2})

dataframe create

>>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
...                    columns=['a', 'b', 'c'])
>>> df2
   a  b  c
0  1  2  3
1  4  5  6
2  7  8  9

creating a pandas df

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

pandas make new dataframe

df = pd.DataFrame({'column1':[1,2,3],'column2':[4,5,6])

create panda DataFrame

import pandas as pd
data = {"Name": ['Phillip', 'Donald', 'Fankhola', 'Mixo', 'Delight', 'Vuyo'],
        "Surname": ['Moyo', 'Phutiane', 'Siphotoma', 'Ngobeni', 'Chauke', 'Shabango'],
       "Age": [25, 23, 24, 24, 23, 23]}

df = pd.DataFrame(data)
df

create a dataframe python

import pandas as pd
import numpy as np
df = pd.DataFrame(np.array([[1, 2, 3, 5], [4, 5, 6, 7], [7, 8, 9, 1]]), 
                  columns=['a', 'b', 'c', 'd'])

create data frame in panda

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

How to create DataFrames

import pandas as pd
data = {
	"A":[1,2,3],
    "B":[4,5,6],
    "C":[7,8,9]
}
index = [1,2,3,4,5,6,7,8,9]

pd.DataFrame(data=data, index=index)

create panda DataFrame

import pandas as pd
data = {"Name": ['Phillip', 'Donald', 'Fankhola', 'Mixo', 'Delight', 'Vuyo'],
        "Surname": ['Moyo', 'Phutiane', 'Siphotoma', 'Ngobeni', 'Chauke', 'Shabango'],
       "Age": [25, 23, 24, 24, 23, 23]}

df = pd.DataFrame(data)
df

create panda DataFrame

import pandas as pd
data = {"Name": ['Phillip', 'Donald', 'Fankhola', 'Mixo', 'Delight', 'Vuyo'],
        "Surname": ['Moyo', 'Phutiane', 'Siphotoma', 'Ngobeni', 'Chauke', 'Shabango'],
       "Age": [25, 23, 24, 24, 23, 23]}

df = pd.DataFrame(data)
df

creating dataframe

import pandas as pd
 
# initialise data of lists.
data = {'Name':['Tom', 'nick', 'krish', 'jack'],
        'Age':[20, 21, 19, 18]}
 
# Create DataFrame
df = pd.DataFrame(data)
 
# Print the output.
df

Create Pandas DataFrame

import pandas as pd

boxes = {'Color': ['Green','Green','Green','Blue','Blue','Red','Red','Red'],
         'Shape': ['Rectangle','Rectangle','Square','Rectangle','Square','Square','Square','Rectangle']
        }
df = pd.DataFrame(boxes, columns = ['Color', 'Shape'])

print(df)

create data frame in panda

# Import pandas library
import pandas as pd
 
# initialize list of lists
data = [['tom', 10], ['nick', 15], ['juli', 14]]
 
# Create the pandas DataFrame
df = pd.DataFrame(data, columns=['Name', 'Age'])
 
# print dataframe.
df

create python dataframe

# Python code demonstrate creating
# pandas DataFrame with indexed by
  
# DataFrame using arrays.
import pandas as pd
  
# initialize data of lists.
data = {'Name': ['Tom', 'Jack', 'nick', 'juli'],
        'marks': [99, 98, 95, 90]}
  
# Creates pandas DataFrame.
df = pd.DataFrame(data, index=['rank1',
                               'rank2',
                               'rank3',
                               'rank4'])
  
# print the data


grouped = df.groupby(['class', 'avg calories per unit'])
grouped

How to create a new Dataframe in python

df_New = df[['MONTH','DAY', 'DAY_OF_WEEK', 'ORIGIN_AIRPORT','FLIGHT_NUMBER', 'DESTINATION_AIRPORT','DEPARTURE_TIME', 'DEPARTURE_DELAY', 'ARRIVAL_TIME', 'ARRIVAL_DELAY', 'CANCELLED', 'DIVERTED', 'DISTANCE']]
df_New.head()

create data frame in panda

# Python code demonstrate creating
# pandas DataFrame with indexed by
 
# DataFrame using arrays.
import pandas as pd
 
# initialize data of lists.
data = {'Name': ['Tom', 'Jack', 'nick', 'juli'],
        'marks': [99, 98, 95, 90]}
 
# Creates pandas DataFrame.
df = pd.DataFrame(data, index=['rank1',
                               'rank2',
                               'rank3',
                               'rank4'])
 
# print the data
df

Create a pandas dataframe

import pandas as pd
s = pd.Series()
print(s)