initialize pandas dataframe with column names
column_names = ["a", "b", "c"]
df = pd.DataFrame(columns = column_names)initialize pandas dataframe with column names
column_names = ["a", "b", "c"]
df = pd.DataFrame(columns = column_names)create dataframe with column names pandas
In [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: []create empty pandas dataframe
df = pd.DataFrame(columns=['a', 'b', 'c'])creata daframe python
d = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data=d)
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})python initialise dataframe
import pandas as pd
data = [[0, 0, 0] , [1, 1, 1]]
columns = ['A', 'B', 'C']
df = pd.DataFrame(data, columns=columns)Copyright © 2021 Codeinu
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