convert array to dataframe python
np.random.seed(123)
e = np.random.normal(size=10)
dataframe=pd.DataFrame(e, columns=['a'])
print (dataframe)
a
0 -1.085631
1 0.997345
2 0.282978
3 -1.506295
4 -0.578600
5 1.651437
6 -2.426679
7 -0.428913
8 1.265936
9 -0.866740
e_dataframe=pd.DataFrame({'a':e})
print (e_dataframe)
a
0 -1.085631
1 0.997345
2 0.282978
3 -1.506295
4 -0.578600
5 1.651437
6 -2.426679
7 -0.428913
8 1.265936
9 -0.866740dataframe 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 4numpy 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()
xConvert 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: ")
dfCopyright © 2021 Codeinu
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