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 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: []dataframe create
>>> 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 9how do we create a dataframe in python
# Import pandas library
import pandas as pd
# initialize list of lists
data = [['Group A', 85], ['Group B', 92], ['Group C', 88]]
# Create the pandas DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Score'])
# print dataframe.
dfHow to create DataFrames
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)pandas make new dataframe
df = pd.DataFrame({'column1':[1,2,3],'column2':[4,5,6])Copyright © 2021 Codeinu
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