dataframe from arrays python
import pandas as pd
df=pd.DataFrame({'col1':vect1,'col2':vect2})
dataframe from arrays python
import pandas as pd
df=pd.DataFrame({'col1':vect1,'col2':vect2})
numpy arrauy to df
numpy_data = np.array([[1, 2], [3, 4]])
df = pd.DataFrame(data=numpy_data, index=["row1", "row2"], columns=["column1", "column2"])
print(df)
convert a pandas df to a numpy array
x = df.to_numpy()
x
convert pandas dataframe to numpy dataframe
DataFrame.to_numpy(dtype=None, copy=False, na_value=<object object>)
convert numpy array to dataframe
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))
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