python: converting an numpy array data type from int64 to int

Question

I am somewhat new to python and I am using python modules in another program (ABAQUS). The question, however, is completely python related.

In the program, I need to

Answer 1

numpy.ndarray.tolist will do it:

a.tolist()

If your data is a pandas series you can call their tolist wrapper with the same result.

Answer 2

@J.F. Sebastian's answer:

a.astype(numpy.int32)

Answer 3

Use the item() method for numpy.int64 object, as Mike T's answer in another similar question explained.

Official documentation is here: https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.chararray.item.html#numpy.chararray.item

Answer 4

If it's a pandas serise, you can first convert it to Dataframe, then use df.to_dict(), then the numpy.int64 will convert to int

In [1]: import pandas as pd

In [2]: import numpy as np

In [3]: df = pd.DataFrame(np.random.randint(5,size=(3,4)),
index=np.arange(3))

In [4]: type(df[0][0])

Out[4]: numpy.int64

In [5]: dict_of_df = df.to_dict()

In [6]: type(dict_of_df[0][0])

Out[6]: int