下面是一个简单的示例代码,演示如何获取DataFrame的最后一行数据: importpandasaspd# 创建一个示例DataFramedata={'A':[1,2,3,4],'B':['a','b','c','d']}df=pd.DataFrame(data)# 获取DataFrame的最后一行数据last_row=df.iloc[-1]print(last_row) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 在...
def ISOtoGBK(data): for index, row in data.iteritems(): data.fillna(inplace=True, value="")#把空值替换为空格 if (data[index].dtypes!="datetime64[ns]")& (data[index].dtypes!="int64"): data[index]=data[index].apply(lambda x:x.encode('latin-1').decode('gbk')) return data 1...
axis, level, fill_value])减法,元素指向DataFrame.mul(other[, axis, level, fill_value])乘法,元素指向DataFrame.div(other[, axis, level, fill_value])小数除法,元素指向DataFrame.truediv(other[, axis, level, …])真除法,元素指向DataFrame.floordiv(other[, axis, level, …])向下取整除法,元素...
df.sort_value() 按值排序 常用的是纵向排序,也就是默认的axis=0的相关操作 sort_index()参数(axis=0, level=None, ascending=True, inplace=False, kind='quicksort', na_position='last', sort_remaining=True, by=None) axis=0 纵向排序(行索引),axis=1 横向排序(列索引) ascending 排序方式,True为...
DataFrame(data, columns=['date', 'variable', 'value']) df = unpivot(tm.makeTimeDataFrame()) df[: 5] df.pivot(index='date', columns='variable',values='value' )[: 5] 4.2 melt melt与pivot刚好相反,相当于将表变长 cheese = pd.DataFrame({'first': ['John', 'Mary'], 'last': ['...
,字典中的value就是Series对象中的值 print(obj['a']) # 访问到索引值为a的对象的值 2 DataFrame类型 DataFrame 是一个表格型的数据结构,它含有一组有序的列...DataFrame 本身有行索引,也有列索引。这里需要注意一下,它是拥有列索引的,这一点是我们之前没有接触过的。...DataFrame类型可以直接想象成是我们...
DataFrame.itertuples([index, name])Iterate over DataFrame rows as namedtuples, with index value as first element of the tuple. DataFrame.lookup(row_labels, col_labels)Label-based “fancy indexing” function for DataFrame. DataFrame.pop(item)返回删除的项目 ...
bfill() Replaces NULL values with the value from the next row bool() Returns the Boolean value of the DataFrame columns Returns the column labels of the DataFrame combine() Compare the values in two DataFrames, and let a function decide which values to keep combine_first() Compare two Data...
my_portfolio = {'BTC':1.0, 'XRP':0, 'DSH':0, 'XMR':0, 'TotalBTCValue':1.0} _endPoint = 'https://www.quandl.com/api/v3/datasets/BITFINEX/' _symbolls = ['BTCEUR','XRPBTC','DSHBTC','IOTBTC','XMRBTC'] _startDate = '2017-01-01' ...
(row);//1;A;1DataFrameidxExample=dataFrame.selectByIndex("id_name_idx",3,"A");idxExample.print();/*ID NAME UID3 A 43 A 8*/idxExample.getStringColumn("NAME").map((value->value+"_idx_example"));idxExample.print();/*ID NAME UID3 A_idx_example 43 A_idx_example 8*/dataFrame....