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 9create 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)creata daframe python
d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d)
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})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'])Copyright © 2021 Codeinu
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