np array to df
import numpy as np
import pandas as pd
my_array = np.array([[11,22,33],[44,55,66]])
df = pd.DataFrame(my_array, columns = ['Column_A','Column_B','Column_C'])
print(df)
print(type(df))
np array to df
import numpy as np
import pandas as pd
my_array = np.array([[11,22,33],[44,55,66]])
df = pd.DataFrame(my_array, columns = ['Column_A','Column_B','Column_C'])
print(df)
print(type(df))
convert two numpy array to pandas dataframe
import pandas as pd
import numpy as np
images = np.array(images)
label = np.array(label)
dataset = pd.DataFrame({'label': label, 'images': list(images)}, columns=['label', 'images'])
how to convert pandas series to 2d numpy array
a = np.array(s.values.tolist())
print (a)
[[ 0. 0.]
[ 0. 0.]
[ 0. 0.]
[ 0. 0.]
[ 0. 0.]]
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