#!/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") ser_empty = pd.Series({"empty_index":[]}) print("ser_empty:",ser_empty) if ser_empty.empty: print("ser_empty is empty") else: print("ser_empty is not empty") # ser_empty is not empty ser_empty2 = pd.Series() 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")
E:\remote_project\lianghua2023\monitor\venv\Scripts\python.exe E:/remote_project/lianghua2023/monitor/app/henry/helloC.py E:/remote_project/lianghua2023/monitor/app/henry/helloC.py:23: DeprecationWarning: The default dtype for empty Series will be 'object' instead of 'float64' in a future version. Specify a dtype explicitly to silence this warning. ser_empty2 = pd.Series() df_empty: Empty DataFrame Columns: [empty_index] Index: [] df_empty is empty ser_empty: empty_index [] dtype: object ser_empty is not empty ser_empty2: Series([], dtype: float64) ser_empty2 is empty Process finished with exit code 0
标签:empty2,python,Series,DataFrame,df,print,empty,ser From: https://www.cnblogs.com/music-liang/p/17202612.html