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...
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
使用pandas的astype方法将指定列的数据类型转换为int。 python # 将指定列的数据类型转换为int df[column_to_convert] = df[column_to_convert].astype(int) 更新CSV文件,将转换后的int类型数据写回: 使用pandas的to_csv方法将更新后的DataFrame写回到CSV文件中。 python # 将更新后的DataFrame写回到CSV文件 ...
pandas 0.24+ 转换带有缺失值的数字的解决方案: df = pd.DataFrame({'column name':[7500000.0,7500000.0, np.nan]}) print (df['column name']) 0 7500000.0 1 7500000.0 2 NaN Name: column name, dtype: float64 df['column name'] = df['column name'].astype(np.int64) ValueError:无法将非有限...
Name: column name, dtype: float64 df['column name'] = df['column name'].astype(np.int64) ValueError:无法将非有限值(NA或INF)转换为整数 #http://pandas.pydata.org/pandas-docs/stable/user_guide/integer_na.html df['column name'] = df['column name'].astype('Int64') print (df['colu...
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("*** ...
Converting int to float due to an insertion in another columnLet us understand with the help of an example,Example# Importing pandas package import pandas as pd # Importing numpy package import numpy as np # Creating a dictionary d = { 'int':[], 'string':[] } # Creati...
By using pandas DataFrame.astype() and pandas.to_numeric() methods you can convert a column from string/int type to float. In this article, I will explain
6)Example 5: Convert pandas DataFrame Column from Integer to Float Using to_numeric() Function 7)Video, Further Resources & Summary Let’s jump right to the examples. Example Data & Add-On Libraries First, we have to import thepandas libraryto Python: ...
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 ...