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})
make pandas df from np array
numpy_data = np.array([[1, 2], [3, 4]])
df = pd.DataFrame(data=numpy_data, index=["row1", "row2"], columns=["column1", "column2"])
print(df)
>>>
column1 column2
row1 1 2
row2 3 4
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 Dataframe to an array
import numpy as np
import pandas as pd
arr = np.random.rand(4, 3)
print("Numpy array:")
print(arr)
# convert numpy array to dataframe
df = pd.DataFrame(arr, columns =['A', 'B', 'C'])
print("nPandas DataFrame: ")
df
convert pandas dataframe to numpy dataframe
DataFrame.to_numpy(dtype=None, copy=False, na_value=<object object>)
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