/Python/Convert numpy array to dataframe

Convert numpy array to dataframe

Dataframe from arrays python

import pandas as pd
df=pd.DataFrame({'col1':vect1,'col2':vect2})

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 -0.866740

Source: stackoverflow.com

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

Source: kite.com

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 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))

Source: datatofish.com

Similar codes

0 vote76 views1 answer
Fading hex color python
Python
0 vote99 views1 answer
What is {:02d}:{:02d} in python
Python
0 vote104 views1 answer
Jaccard distance python
Python
1 vote99 views1 answer
Get number of key in dictionary python
Python
0 vote94 views1 answer
Relative path django
Python
0 vote98 views1 answer
Create table numpy
Python
0 vote102 views1 answer
Python evaluate string
Python
19 votes105 views6 answers
Pandas change column order
Python
1 vote98 views2 answers
Beautifulsoup python set text
Python
13 votes107 views6 answers
Character in python
Python