Pandas格式化DataFrame的浮点数列

在呈现数据的同时，以所需的格式显示数据也是一个重要而关键的部分。有时，值太大了，我们只想显示其中所需的部分，或者我们可以说以某种所需的格式。

让我们看看在Pandas中格式化DataFrame的数值列的不同方法。

例1：将列值四舍五入到两位小数

# import pandas lib as pd 
import pandas as pd # create the data dictionary 
data = {'Month' : ['January', 'February', 'March', 'April'], 'Expense': [ 21525220.653, 31125840.875, 23135428.768, 56245263.942]} # create the dataframe 
dataframe = pd.DataFrame(data, columns = ['Month', 'Expense']) print("Given Dataframe :\n", dataframe) # round to two decimal places in python pandas 
pd.options.display.float_format = '{:.2f}'.formatprint('\nResult :\n', dataframe)

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例2：用逗号格式化整数列，并四舍五入到两位小数

# import pandas lib as pd 
import pandas as pd # create the data dictionary 
data = {'Month' : ['January', 'February', 'March', 'April'], 'Expense':[ 21525220.653, 31125840.875, 23135428.768, 56245263.942]} # create the dataframe 
dataframe = pd.DataFrame(data, columns = ['Month', 'Expense']) print("Given Dataframe :\n", dataframe) # Format with commas and round off to two decimal places in pandas 
pd.options.display.float_format = '{:, .2f}'.formatprint('\nResult :\n', dataframe)

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例3：格式划列与逗号和$符号，并四舍五入到两位小数

# import pandas lib as pd 
import pandas as pd # create the data dictionary 
data = {'Month' : ['January', 'February', 'March', 'April'], 'Expense':[ 21525220.653, 31125840.875, 23135428.768, 56245263.942]} # create the dataframe 
dataframe = pd.DataFrame(data, columns = ['Month', 'Expense']) print("Given Dataframe :\n", dataframe) # Format with dollars, commas and round off 
# to two decimal places in pandas 
pd.options.display.float_format = '${:, .2f}'.formatprint('\nResult :\n', dataframe)