10)# 读取数据df = pd.read_csv('subway.csv', header=None, names=['city','line','station'], encoding='gbk')# 各个城市地铁线路情况df_line = df.groupby(['city','line']).count().reset_index()print(df_line)
DataFrame(bool_array, index=index, columns = ['train', 'val', 'test']) df.to_csv(filename) print() 这段代码定义了一个名为save_splits的函数,用于将数据集的拆分结果保存到CSV文件中。逐行解释如下: def save_splits(split_datasets, column_keys, filename, boolean_style=False)::定义一...
c=(Bar()#创建柱状图.add_xaxis(city_job_top20.index.tolist())#添加x轴数据.add_yaxis('数据分析就业岗位数量', city_job_top20.values.tolist())#添加y轴数据.set_global_opts(#设置全局参数title_opts=opts.TitleOpts(title='一周内Python就业岗位数量'), #设置标题datazoom_opts=opts.DataZoomOpts(...
'Season','region','Medal','Nums']medal_data=medal_data.sort_values(by="Year",ascending=True)medal_data=data.groupby(['Year','Season','region','Medal'])['Event'].nunique().reset_index()medal_data.columns=['Year','Season','region','Medal...
['chr']==chrom].reset_index()list_ctyo_start=[]list_ctyo_end=[]foridx,rowindf_chr.iterrows():cyto_start=int(row['start'])cyto_end=int(row['end'])ifint(pos_start)>=cyto_start:list_ctyo_start.append(row['cyto'])ifint(pos_end)<=cyto_end:list_ctyo_end.append(row['cyto']...
reset_index() df_group_sales = df[['sales', 'group']].groupby('group').mean().reset_index() df_group_str = [str(i) for i in df_group_sales['group']] print(df_group_str) # 生成柱状图 bar = ( Bar() .add_xaxis(df_group_str) .add_yaxis("", list(df_group_...
reset_index(drop=False) data_mark.rename(columns={'index': 'index_old'}, inplace=True) data_mark['rank0'] = data_mark['index_old'].groupby(data_mark['group']).rank() data_mark['pinming_rank'] = data_mark['rank0'].astype(int) def __cal_rank_mark(x): rst = str(...
counts_station = counts_station.sort_values(by = '高铁车次',ascending = False).reset_index(drop =True) counts_city = counts_station.copy() #合并部分城市不同火车站过车次数 counts_city = counts_city.groupby('车站')['总车次','高铁车次','普快车次'].sum() ''' 作为城际交通最方便的一种...
dates = dates.reset_index(drop=True)# Drop redundant columns dates = dates.drop(["Symbol", "Company"], axis=1)# Convert types for cn in ["EPS Estimate", "Reported EPS", "Surprise(%)"]: dates.loc[dates[cn] == '-', cn] = float("nan") ...
--hard 源码也会回退到某个版本,commit和index 都会回退到某个版本.(注意,这种方式是改变本地代码仓库源码) 1. 2. 3. 当然有人在push代码以后,也使用 reset --hard <commit…> 回退代码到某个版本之前,但是这样会有一个问题,你线上的代码没有变,线上commit,index都没有变,当你把本地代码修改完提交的时...