df['col'] = df['col'].astype(int) print(df) # Output: # col # 0 1 # 1 2 # 2 3 # 3 4 Copy Note that when converting float values to integers, the decimal part of the float will be truncated (not rounded). For example, the value 1.5 will be converted to 1, and the ...
在处理Pandas中遇到的ValueError: cannot convert float NaN to integer错误时,我们可以按照以下步骤来解决: 理解错误原因: Pandas无法将包含NaN(Not a Number)的浮点数直接转换为整数,因为整数类型不支持NaN值。 查找包含NaN的数据: 使用isnull()或isna()方法可以检查DataFrame或Series中的NaN值。 示例代码: pytho...
当我们在使用Python进行数值计算时，有时会遇到类似于ValueError: cannot convert float NaN to ...
Thedf.astype(int)converts Pandasfloattointby negelecting all the floating point digits. df.round(0).astype(int)rounds the Pandasfloatnumber closer to zero. This method provides functionality to safely convert non-numeric types (e.g. strings) to a suitable numeric type. ...
Use pandas DataFrame.astype(int) and DataFrame.apply() methods to cast float column to integer(int/int64) type. I believe you would know float is bigger
这是Python中ValueError: cannot convert float NaN to integer的示例: # import pandasimportpandas# read csv filedf = pandas.read_csv('itemprice.csv')# convert to an integer typedf['price']=df['price'].astype(int) 输出: pandas.errors.IntCastingNaNError: Cannot convert non-finite values (NA...
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 convert float NaN to integer错误的原因和解决方法。首先,我们需要检查数据中是否存在NaN值,并根据实际情况进行处理。如果数据中并不包...
Pandas version checks I have checked that this issue has not already been reported. I have confirmed this bug exists on the latest version of pandas. I have confirmed this bug exists on the main branch of pandas. Reproducible Example imp...
column is the float type column to be converted to integer Example: Python program to convert cost column to int # import the module import pandas # consider the food data food_input={'id':['foo-23','foo-13','foo-02','foo-31'], 'name':['ground-nut oil','almonds','flour',...
从pandas版本0.24.0开始，我们有了nullable integer数据类型：