import pandas as pd # 创建一个空的DataFrame df = pd.DataFrame() # 检查DataFrame是否为空 if df.empty: print("DataFrame is empty") else: print("DataFrame is not empty") 通过上述步骤,你可以轻松地在Pandas中判断DataFrame是否为空。
By usingpandas.DataFrame.emptyattribute you can check if DataFrame is empty or not. We refer DataFrame as empty when it has zero rows. This pandas DataFrameemptyattribute returns a Boolean value; valueTruewhen DataFrame is empty andFalsewhen it is empty. Advertisements We are often required to ...
如何检查大熊猫是否DataFrame为空?在我的情况下,我想在终端打印一些消息,如果它DataFrame是空的.aIK*_*Kid 390 您可以使用该属性df.empty检查它是否为空:if df.empty: print('DataFrame is empty!') Run Code Online (Sandbox Code Playgroud) 来源:熊猫文档@Quant - 文档讨论了为什么__bool__在这里引发数据...
它比 empty 快得多。 len(df.index) 甚至更快。 import pandas as pd import numpy as np df = pd.DataFrame(np.random.randn(10000, 4), columns=list('ABCD')) def empty(df): return df.empty def lenz(df): return len(df) == 0 def lenzi(df): return len(df.index) == 0 ''' %tim...
apply(lambda x: 'value if condition is met' if x condition else 'value if condition is not met') 使用lambada实现案例1的代码如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import pandas as pd numbers = {'set_of_numbers': [1,2,3,4,5,6,7,8,9,10]} df = pd.DataFrame(...
3. False,总时返回DataFrame 注意:在0.23.0版本后,要需要让result_type='reduce'才能生效。(所以我说要看不同版本各自的文档) reduce : boolorNone,defaultNoneTrytoapply reduction procedures.Ifthe DataFrameisempty, `apply` will use `reduce`todetermine whether the result ...
python pandas 构造空的DataFrame,Series对象 有时候根据工作需要,需要构造空的DataFrame, Series对象 #!/usr/bin/evn pythonimportnumpy as npimportpandas as pd df_empty= pd.DataFrame({"empty_index":[]})print("df_empty:",df_empty)ifdf_empty.empty:print("df_empty is empty")#df_empty is empty...
现在我们将使用DataFrame.empty属性,以检查给定的 DataFrame 是否为空。 # check if there is any element# in the given dataframe or notresult = df.empty# Print the resultprint(result) 输出: 正如我们在输出中看到的,DataFrame.empty属性已返回False指示给定的数据帧不为空。
5. Check if DataFrame is Empty DataFrame.empty property is used to check if a DataFrame is empty or not. When it is empty it returnsTrueotherwiseFalse. DataFrame is considered non-empty if it contains 1 or more rows. Having all rows with NaN values is still considered a non-empty DataFra...
import pandas as pd df = pd.DataFrame() if df.empty: print('DataFrame is empty!') Output: DataFrame is empty! 在创建 DataFrame 时指定索引和列名称 import pandas as pd values = ["India", "Canada", "Australia", "Japan", "Germany", "France"] code = ["IND", "CAN", "AUS", "JA...