importnumpyasnpdefcheck_nan_in_list(lst):arr=np.array(lst)nan_mask=np.isnan(arr)ifnp.any(nan_mask):print("列表中含有NaN值")else:print("列表中不含有NaN值")# 测试代码list_with_nan=[1,2,np.nan,4,5]list_without_nan=[1,2,3,4,5]check_nan_in_list(list_with_nan)# 输出:列表中...
import math def check_nan(data): if isinstance(data, float) and math.isnan(data): print("The value is NaN") elif isinstance(data, list) or isinstance(data, tuple): for item in data: check_nan(item) elif isinstance(data, dict): for key, value in data.items(): check_nan(key...
def my_abs(x): if not isinstance(x, (int, float)): raise TypeError('bad operand type') if x >= 0: return x else: return -x 1. 2. 3. 4. 5. 6. 7. 8. #默认参数 import math def move(x, y, step, angle=0): nx = x + step * math.cos(angle) ny = y - step * ma...
Python pandas: check if any value is NaN in DataFrame # 查看每一列是否有NaN:df.isnull().any(axis=0)# 查看每一行是否有NaN:df.isnull().any(axis=1)# 查看所有数据中是否有NaN最快的:df.isnull().values.any()# In [2]: df = pd.DataFrame(np.random.randn(1000,1000))In [3]: df[d...
Pythonpandas检查数据中是否有NaN的⼏种⽅法Python pandas: check if any value is NaN in DataFrame # 查看每⼀列是否有NaN：df.isnull().any(axis=0)# 查看每⼀⾏是否有NaN：df.isnull().any(axis=1)# 查看所有数据中是否有NaN最快的：df.isnull().values.any()# In [2]: df = pd....
numpy.isnan Another performant option if you're running older versions of pandas. np.isnan(df.values) array([[False, True], [False, False], [ True, False]]) np.isnan(df.values).any() # True Alternatively, check the sum: np.isnan(df.values).sum() # 2 np.isnan(df.values)....
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59 Check if single cell value is NaN in Pandas 6 Pandas unit testing: How to assert equality of NaT and NaN values? 11 unittest - how to assert if the two possibly NaN values are equal 3 unittest check for Nan 2 How to do unit test to check input is not null in Python 1 ...
run pip freezeCommands:check ChecksforPyUp Safety security vulnerabilities and againstPEP508markers providedinPipfile.clean Uninstalls all packages not specifiedinPipfile.lock.graph Displays currently-installed dependency graph information.install Installs provided packages and adds them to Pipfile,or(ifno ...
Python program to fast check for NaN in NumPy # Import numpyimportnumpyasnp# Creating a numpy arrayarr=np.array([1,2,3,4,np.nan])# Display original arrayprint("Original Array:\n",arr,"\n")# Check for nanres=np.isnan(np.min(arr))# Display resultprint("Result:\n",res,"\n")...