import numpy as np import pandas as pd vect1=np.zeros(10) vect2=np.ones(10) df=pd.DataFrame({'col1':vect1,'col2':vect2})
d = {'col1': [1, 2], 'col2': [3, 4]} df = pd.DataFrame(data=d) df
import pandas as pd d = {'one' : pd.Series([1, 2, 3], index=['a', 'b', 'c']), 'two' : pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd'])} df = pd.DataFrame(d) print df
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',...])
Pandas DataFrames make manipulating your data easy, from selecting or replacing columns and indices to reshaping your data.