# 保留价格的两位有效数字df['价格']=df['价格'].apply(lambdax:round(x,2))# Round to 2 decimal placesprint("格式化后的 DataFrame:")print(df)# 打印格式化后的 DataFrame 1. 2. 3. 4. 第四步:查看格式化后的 DataFrame 我们在上一步中已经打印了格式化后的 DataFrame,如下所示: # 查看格式化后...
For those that come here not because wanted to round the DataFrame but merely want to limit the displayed value to n decimal places, use pd.set_option instead. This methods will make all printed DataFrame on your notebook follow the option. import pandas as pd pd.set_option('precisi...
用法:DataFrame.round(decimals=0, *args, **kwargs) 参数: decimals:Number of decimal places toroundeach column to. If an int is given,roundeach column to the same number of places. Otherwise dict and Seriesroundto variable numbers of places. Column names should be in the keys if decimals...
最后,我们可以使用print()函数输出保留指定小数位数的DataFrame。 print(df_round) 1. 通过以上代码,我们将保留两位小数的DataFrame打印出来。 完整代码示例 importpandasaspd data={'col1':[0.123456,1.234567,12.345678],'col2':[0.987654,9.876543,98.765432]}df=pd.DataFrame(data)df_round=df.round(2)print(df_...
让我们使用dataframe.round()函数将数据框中的所有十进制值四舍五入到小数点后 3 位。 df.round(3) 复制 输出: 示例#2:使用round()函数将数据框中的所有列四舍五入到不同的位置。 # importing pandas as pdimportpandasaspd# importing numpy as npimportnumpyasnp# setting the seed to re-create the da...
You can pass a dict-like object toDataFrame.roundto set different precision levels for different columns. So you need to transpose a single column DataFrame (constructed fromResultscolumn) twice: df['Results'] = df[['Results']].T.round(df['decimal']).T ...
示例1: round ▲点赞 6▼ # 需要导入模块: from pandas.core.frame import DataFrame [as 别名]# 或者: from pandas.core.frame.DataFrame importround[as 别名]defround(self, decimals=0, *args, **kwargs):""" Round each value in a Series to the given number of decimals. ...
return q.toRotationMatrix(); } std::string rond_num(double value,int weishu) { // Round the number to 2 decimal places double roundedValue = std::round(value * 100.0) / 100.0; // Use a string stream to format the number std::ostringstream oss; oss << std::fixed << std::setpreci...
DataFrameround方法应该可以工作...
this function will return a pandas dataframe of adjusted open, adjusted high, adjusted low, adjusted close and volume rounded to 4 decimal places """ if not (ALPHA_VANTAGE_DIR_PATH / f"{ticker}.csv").exists(): return None df = pd.read_csv( ...