# 使用 numpy 库中的 isnan 函数检查ifnp.isnan(x):x=0# 或者其他合适的值 # 转换为整数 x=int(x) 通过上述方法,我们可以避免ValueError: cannot convert float NaN to integer这个错误。 结语 在本篇文章中,我们讨论了ValueError: cannot conv
# install numpy pip install numpy # import numpy import numpy as npNext, we will use np.array() function to convert the list of floats to integer.int_list = np.array(float_list).astype(int).tolist() print(int_list) # [1, 3, 5]...
# 尝试解决方法(无效)ifinst_com[0]==float(np.NaN)orinst_com[1]==float(np.NaN):continue 最后,在网上看到用 a!=a判断,即NaN自己是不等于自己的,可以看到程序判断成功并跳过NaN! 解决(有效): a=inst_com[0]b=inst_com[1]ifa!=aorb!=b:print("跳过!")continue 参考: Python中怎么判断一个浮点...
integer_number = int(rounded_number) # Or simply: int(round(float_number)) print(integer_number) Output: 8 You can refer to the below screenshot to see the output. Theround()function rounds to the nearest integer. If the decimal part is exactly 0.5, Python rounds to thenearest even num...
接着,我们使用fillna(0)方法将所有NaN值替换为0(这里以0为例,实际使用时可以根据需要替换为其他值)。最后,我们使用astype(int)方法将替换后的DataFrame中的float列转换为整数。这样,即使在原始数据中存在NaN值,我们也能避免在转换过程中出现cannot convert float NaN to integer错误。
有时会遇到类似于ValueError: cannot convert float NaN to integer的错误。
Use data structures or libraries that handle missing values easily, such as pandas or numpy. Validate and sanitize input data to ensure it does not contain NaN values. FAQs What is the ValueError: Cannot Convert Float NaN to Integer?
When concatenating empty list with a list of INTEGERS result is an array of FLOATS. Since numpy 1.12 you can not use floats (result of such concatenation) for indexing without additional convertion from float to integer. Following exampl...
有时会遇到类似于ValueError: cannot convert float NaN to integer的错误。这个错误通常...
成功解决ValueError: cannot convert float NaN to integer,成功解决ValueError:cannotconvertfloatNaNtointeger目录解决问题解决思路解决方法1、如果是少量数据2、如果是在dataframe中解决问题ValueError:cannotconvertfloatNaNtointeger解决思路值错误:不能将浮点NaN转换