python-pandas DataFrame,Series笔记2

 

官方博客地址:

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.empty.html#pandas.DataFrame.empty

https://pandas.pydata.org/pandas-docs/stable/reference/frame.html

笔记地址:

https://note.youdao.com/s/LFip7Cc5

 

python pandas 笔记2

#!/usr/bin/evn python

import numpy as np
import pandas as pd

df_empty = pd.DataFrame({"empty_index":[]})
print("df_empty:",df_empty)

if df_empty.empty:
    print("df_empty is empty")  # df_empty is empty
else:
    print("df_empty is not empty")
    
df_empty: Empty DataFrame
Columns: [empty_index]
Index: []
df_empty is empty
ser_empty = pd.Series({"empty_index":[]})
print("ser_empty:",ser_empty)
print("len(ser_empty):", len(ser_empty))

if ser_empty.empty:
    print("ser_empty is empty")
else:
    print("ser_empty is not empty") # ser_empty is not empty
ser_empty: empty_index    []
dtype: object
len(ser_empty): 1
ser_empty is not empty
# 创建一个空的series对象,并指它的元素类型是float64
ser_empty2 = pd.Series([], dtype='float64')
print("ser_empty2:",ser_empty2)
if ser_empty2.empty:
    print("ser_empty2 is empty") # ser_empty2 is empty
else:
    print("ser_empty2 is not empty")
ser_empty2: Series([], dtype: float64)
ser_empty2 is empty
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

 

posted @ 2023-03-10 10:47  He_LiangLiang  阅读(17)  评论(0编辑  收藏  举报