DataFrame中的每一列可以有不同的数据类型,包括对象(object)、整数(int)、浮点数(float)等。 转换方法 假设我们有一个DataFrame df,其中有一列名为 column_name,我们希望将其转换为整数类型。 代码语言:txt 复制 import pandas as pd # 示例DataFrame data = {'column_name': ['1', '2', '3', '4']...
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)...
一种解决方法是使用Pandas类型Int64（又名pandas.Int64Dtype()）而不是int，这会将NaN转换为pandas.NA：
Method 1 : Convert float type column to int using astype() method Here we are going to convert the float type column in DataFrame to integer type usingastype()method. we just need to passintkeyword inside this method. Syntax: dataframe['column'].astype(int) ...
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 change one or more columns in a Pandas DataFrame into a numeric object. This function convert...
如果要创建一个DataFrame,可以直接通过dtype参数指定类型: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 df=pd.DataFrame(a,dtype='float')#示例1df=pd.DataFrame(data=d,dtype=np.int8)#示例2df=pd.read_csv("somefile.csv",dtype={'column_name':str}) ...
用户可以通过多种方式设置 DataFrame 的索引: import pandas as pd # 使用字典创建 DataFrame 并指定列名作为索引 mydata = {'Column1': [1, 2, 3], 'Column2': ['a', 'b', 'c']} df = pd.DataFrame(mydata) df # 输出 Column1 Column2 0 1 a 1 2 b 2 3 c 指定行索引: # 指定...
<class 'pandas.core.frame.DataFrame'> RangeIndex: 4 entries, 0 to 3 Data columns (total 8 columns): # Column Non-Null Count Dtype --- --- --- --- 0 string_col 4 non-null object 1 int_col 4 non-null int64 2 float_col 4 non-null...
Convert Pandas DataFrame Column tointWith Rounding Off We can round off thefloatvalue tointby usingdf.round(0).astype(int). importpandasaspdimportnumpyasnp df=pd.DataFrame(np.random.rand(5,5)*5)print("*** Random Float DataFrame ***")print(df)print("***")print("***")print("*** ...