to_dataframe pandas
df = pd.DataFrame(my_series)to_dataframe pandas
df = pd.DataFrame(my_series)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 9create 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})create dataframe panndas
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',...])
print (df)dataframe to tf data
dataset = tf.data.Dataset.from_tensor_slices((df.values, target.values))
FROM df to tf!!!! datasets!!!Copyright © 2021 Codeinu
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