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 4convert a pandas df to a numpy array
x = df.to_numpy()
xconvert pandas dataframe to numpy dataframe
DataFrame.to_numpy(dtype=None, copy=False, na_value=<object object>)converting numpy array to dataframe
import numpy as np
import pandas as pd
# Creating a 2 dimensional numpy array
>>> data = np.array([[5.8, 2.8], [6.0, 2.2]])
>>> print(data)
>>> data
array([[5.8, 2.8],
[6. , 2.2]])
# Creating pandas dataframe from numpy array
>>> dataset = pd.DataFrame({'Column1': data[:, 0], 'Column2': data[:, 1]})
>>> print(dataset)
Column1 Column2
0 5.8 2.8
1 6.0 2.2np 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))Copyright © 2021 Codeinu
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