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
Write a Pandas program to cast a column from float to int and then compute the difference between the original and converted columns. Go to: Next:Write a Pandas program to remove infinite values from a given DataFrame.
Python program to round when converting float to integer# Importing pandas package import pandas as pd # Importing numpy package import numpy as np # Creating a dictionary d = {'a':[4.5,6.7,6.4,2.4,7.5]} # Creating a DataFrame df = pd.DataFrame(d) # Display Original df print("Original...
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}) 对于单列或者Series 下面是一个字符串Seriess的例子,它的dtype为object: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 >>>s=pd.Series(['1'...
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...
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 ...
importpandasaspd# 创建一个 DataFramedata={'column1':['1','2','3','4']}df=pd.DataFrame(data)# 链式调用,先转换为 int,再转为 floatdf['column1']=df['column1'].astype(int).astype(float)print(df) Python Copy Output: 示例7:使用 apply 方法进行转换 ...
If we insert a NaN value in an int column, pandas will convert int values to float values which is obvious but if we insert a nan value in a string column, it will also convert the int value to float value hence it recasts a column on insertion in another column....
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}) 对于单列或者Series 下面是一个字符串Seriess的例子,它的dtype为object:
# Example 6: Convert "Fee" from float # To int and replace NaN values df['Fee'] = df['Fee'].fillna(0).astype(int) print(df.dtypes) To run some examples of converting the column to integer dtype in Pandas DataFrame, let’s create Pandas DataFrame using data from a dictionary. ...