Answers for "convert numpy array to dataframe"

4

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
Posted by: Guest on May-07-2020
5

dataframe from arrays python

import pandas as pd
df=pd.DataFrame({'col1':vect1,'col2':vect2})
Posted by: Guest on March-20-2020
4

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
Posted by: Guest on October-30-2020
3

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)
Posted by: Guest on September-10-2020
0

get pandas dataframe as numpy array

>>> df = pd.DataFrame({"A": [1, 2], "B": [3.0, 4.5]})
>>> df.to_numpy()
array([[1. , 3. ],
       [2. , 4.5]])
Posted by: Guest on May-02-2020
0

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))
Posted by: Guest on November-08-2021

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