creata daframe python
d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d)
df
Awful Alpaca
d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d)
df
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 = {'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',...])
d = {'col1': [1, 2], 'col2': [3, 4]}
>>> df = pd.DataFrame(data=d)
>>> df
col1 col2
0 1 3
1 2 4# Import pandas
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(df)
'''
OUTPUT
Name Age
0 Tom 20
1 Nick 21
2 Krish 19
3 Jack 18
'''