Example 1: creata daframe python
d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d)
df
Example 2: 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})
Example 3: dataframein python
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',...])
Example 4: pandas dataframe
>>> df2 = pd.DataFrame(np.array([[23, 99, 78], [65, 95, 90], [90, 98, 96]]),
... columns=['krish', 'ishwar', 'raj'])
>>> df2
a b c
0 1 2 3
1 4 5 6
2 7 8 9
Example 5: define a dataframe using pandas
In [2]: df = pd.DataFrame(
...: {
...: "Name": [
...: "Braund, Mr. Owen Harris",
...: "Allen, Mr. William Henry",
...: "Bonnell, Miss. Elizabeth",
...: ],
...: "Age": [22, 35, 58],
...: "Sex": ["male", "male", "female"],
...: }
...: )
...:
In [3]: df
Out[3]:
Name Age Sex
0 Braund, Mr. Owen Harris 22 male
1 Allen, Mr. William Henry 35 male
2 Bonnell, Miss. Elizabeth 58 female
Example 6: pd dataframe
df = pd.DataFrame ({"x": x_array, "y": y_array})