Answers for "array to dataframe python"

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

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
Posted by: Guest on August-25-2021
0

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      2.2
Posted by: Guest on September-17-2020

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