In [1]:

    

import pandas as pd
import numpy as np


    

In [2]:

    

s = pd.Series([0, 1, 2], dtype=np.float64)
print(s.dtype)


    

    




float64

In [3]:

    

s = pd.Series([0, 1, 2], dtype='float64')
print(s.dtype)


    

    




float64

In [4]:

    

s = pd.Series([0, 1, 2], dtype='f8')
print(s.dtype)


    

    




float64

In [5]:

    

s = pd.Series([0, 1, 2], dtype='float')
print(s.dtype)


    

    




float64

In [6]:

    

s = pd.Series([0, 1, 2], dtype=float)
print(s.dtype)


    

    




float64

In [7]:

    

s = pd.Series([0, 1, 2], dtype='uint')
print(s.dtype)


    

    




uint64

In [8]:

    

s_object = pd.Series([0, 0.1, 'abc', pd.np.nan])
print(s_object)


    

    




0      0
1    0.1
2    abc
3    NaN
dtype: object

In [9]:

    

print(s_object.map(type))


    

    




0      <class 'int'>
1    <class 'float'>
2      <class 'str'>
3    <class 'float'>
dtype: object

In [10]:

    

s_str_constructor = pd.Series([0, 0.1, 'abc', pd.np.nan], dtype=str)
print(s_str_constructor)


    

    




0      0
1    0.1
2    abc
3    nan
dtype: object

In [11]:

    

print(s_str_constructor.map(type))


    

    




0    <class 'str'>
1    <class 'str'>
2    <class 'str'>
3    <class 'str'>
dtype: object

In [12]:

    

s_str_astype = s_object.astype(str)
print(s_str_astype)


    

    




0      0
1    0.1
2    abc
3    nan
dtype: object

In [13]:

    

print(s_str_astype.map(type))


    

    




0    <class 'str'>
1    <class 'str'>
2    <class 'str'>
3    <class 'str'>
dtype: object

In [14]:

    

print(s_str_astype.str.len())


    

    




0    1
1    3
2    3
3    3
dtype: int64

In [15]:

    

print(s_object.str.len())


    

    




0    NaN
1    NaN
2    3.0
3    NaN
dtype: float64

In [16]:

    

print(s_object.astype(str).str.len())


    

    




0    1
1    3
2    3
3    3
dtype: int64

In [17]:

    

print(s_object)


    

    




0      0
1    0.1
2    abc
3    NaN
dtype: object

In [18]:

    

print(s_object.map(type))


    

    




0      <class 'int'>
1    <class 'float'>
2      <class 'str'>
3    <class 'float'>
dtype: object

In [19]:

    

print(s_object.isnull())


    

    




0    False
1    False
2    False
3     True
dtype: bool

In [20]:

    

print(s_object.dropna())


    

    




0      0
1    0.1
2    abc
dtype: object

In [21]:

    

print(s_str_astype)


    

    




0      0
1    0.1
2    abc
3    nan
dtype: object

In [22]:

    

print(s_str_astype.map(type))


    

    




0    <class 'str'>
1    <class 'str'>
2    <class 'str'>
3    <class 'str'>
dtype: object

In [23]:

    

print(s_str_astype.isnull())


    

    




0    False
1    False
2    False
3    False
dtype: bool

In [24]:

    

print(s_str_astype.dropna())


    

    




0      0
1    0.1
2    abc
3    nan
dtype: object

In [25]:

    

s_str_astype_nan = s_str_astype.replace('nan', pd.np.nan)
print(s_str_astype_nan)


    

    




0      0
1    0.1
2    abc
3    NaN
dtype: object

In [26]:

    

print(s_str_astype_nan.map(type))


    

    




0      <class 'str'>
1      <class 'str'>
2      <class 'str'>
3    <class 'float'>
dtype: object

In [27]:

    

print(s_str_astype_nan.isnull())


    

    




0    False
1    False
2    False
3     True
dtype: bool