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 9dataframe 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 9how 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.
dfhow 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.
dfcreate 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})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)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.
dfCopyright © 2021 Codeinu
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