2.将float转化为int df['test']=df['test'].apply(np.int64) 0 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 Name: test, dtype: int64 <class 'int'> <class 'int'> <class 'int'> <class 'int'> <class 'int'> <class 'int'> <class 'int'> <class 'int'> <class 'int'> Pro...
转换int类型:data[['m']] = data[['m']].astype(int) 报错:OverflowError: Python int too large to convert to C long 解决:data[['m']] = data[['m']].astype('int64') 即可! 参考文档: https://blog.csdn.net/weixin_43187555/article/details/103995364...
You can use pandasDataFrame.astype()function to convert column to int(integer). You can apply this to a specific column or to an entire DataFrame. To cast the data type to a 64-bit signed integer, you can use numpy.int64, numpy.int_, int64, or int as param. To cast to a32-bit ...
convert_dict={'A':int, 'C':float} df=df.astype(convert_dict) print(df.dtypes) 输出: 注:本文由VeryToolz翻译自Convert the data type of Pandas column to int,非经特殊声明,文中代码和图片版权归原作者vaishalianand1276所有,本译文的传播和使用请遵循“署名-相同方式共享 4.0 国际 (CC BY-SA 4.0)...
Different methods to convert column to int in pandas DataFrame Create pandas DataFrame with example data Method 1 : Convert float type column to int using astype() method Method 2 : Convert float type column to int using astype() method with dictionary Method 3 : Convert float type colu...
To implement all the methods in this article, we will have to import the Pandas package. Use the to_numeric() function to convert column to int The simplest and the most basic way to convert the elements in a Pandas Series or DataFrame to int. The to_numeric() function is used to ...
# Quick examples of pandas convert float to integer# Converting "Fee" from float to int# Using DataFrame.astype()df["Fee"]=df["Fee"].astype(int)print(df.dtypes)# Converting "Fee" and "Discount" from float to int# Using DataFrame.astype()df=df.astype({"Fee":"int","Discount":"int...
df['a_int'] = pd.to_numeric(df['a'], errors='coerce').fillna(0) 红框为转换后数据 所属组数据列中包含一个非数值,用astype()转换会出现错误,然而用to_numeric()函数处理就优雅很多。 3.2to_datetime # 定义转换前数据 df = pd.DataFrame({'month': [5, 5, 5], 'day':[11, 3, 22], ...
数值类型包括int和float。 转换数据类型比较通用的方法可以用astype进行转换。 pandas中有种非常便利的方法to_numeric()可以将其它数据类型转换为数值类型。 pandas.to_numeric(arg, errors='raise', downcast=None) arg:被转换的变量,格式可以是list,tuple,1-d array,Series ...
# import pandas libraryimportpandasaspd# dictionaryData = {'Name':['GeeksForGeeks','Python'],'Unique ID':['900','450']}# create a dataframe objectdf = pd.DataFrame(Data)# convert string to an integerdf['Unique ID'] = df['Unique ID'].astype(int)# show the dataframeprint(df) ...