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.
dfIn [4]: import pandas as pd
In [5]: df = pd.DataFrame(columns=['A','B','C','D','E','F','G'])
In [6]: df
Out[6]:
Empty DataFrame
Columns: [A, B, C, D, E, F, G]
Index: []import numpy as np
import pandas as pd
vect1=np.zeros(10)
vect2=np.ones(10)
df=pd.DataFrame({'col1':vect1,'col2':vect2})>>> 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
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)
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'])