Df to np array

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)

Df to np array

df = pd.DataFrame({"A": [1, 2], "B": [3.0, 4.5]})
>>> df.to_numpy()
array([[1. , 3. ],
       [2. , 4.5]])

Source: pandas.pydata.org

Convert pandas dataframe to numpy dataframe

DataFrame.to_numpy(dtype=None, copy=False, na_value=<object object>)

Np 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))

Source: datatofish.com

List dataframe to numpy array

df.values

array([[nan, 0.2, nan],
       [nan, nan, 0.5],
       [nan, 0.2, 0.5],
       [0.1, 0.2, nan],
       [0.1, 0.2, 0.5],
       [0.1, nan, 0.5],
       [0.1, nan, nan]])

Source: stackoverflow.com

Similar codes

0 vote186 views1 answer
How to fetch only the columns from a datframe which has a particular datatype
Python
18 votes166 views2 answers
Check if variable is defined
Python
0 vote181 views2 answers
Instabot source code python library
Python
3 votes187 views3 answers
Python hash string
Python
0 vote187 views1 answer
Model o weight
Python
-1 vote180 views1 answer
Check for null values in rows pyspark
Python
2 votes185 views3 answers
Sum elements array with step numy
Python
30 votes194 views3 answers
Iterate through all files in directory python
Python
37 votes178 views4 answers
How to add data to pandas dataframe
Python
5 votes205 views1 answer
Dataframe from arrays python
Python