# 按照开盘价大小进行排序 , 使用ascending指定按照大小排序 data.sort_values(by="open", ascending=True).head() 结果: 例二: # 按照多个键进行排序 data.sort_values(by=['open', 'high']) 结果: (2)使用df.sort_index(ascending=)给索引进行排序 这个股票的日期索引原来是从大到小,现在重新排序,...
.sort_index(axis=0,ascending=True,inplace=False) ii)按值(values)对pands对象进行排序 .sort_values(by,axis=0,ascending=True,inplace=False) IV. 丢弃指定轴上的项———用来删行/删列 .drop(labels=None,axis=0,inplace=False) V. DataFrame缺失值处理 i) 缺失值/非缺失值筛选 df[df['手续费']...
sort("pro", descending=True) .limit(5) ) df = q.collect() print(df) Missing data 代码语言:javascript 代码运行次数:0 运行 AI代码解释 df = pl.DataFrame( { "value": [1, None], }, ) print(df) null_count_df = df.null_count() print(null_count_df) df = pl.DataFrame( { "...
s.astype(float) # 将Series中的数据类型更改为float类型 s.replace(1,'one') # ‘one’代替所有等于1的值 s.replace([1,3],['one','three']) # 'one'代替1,'three'代替3 df.rename(columns=lambdax:x+1) # 批量更改列名 df.rename(columns={'old_name':'new_ name'}) # 选择性更改列名 df...
nlargest() Sort the DataFrame by the specified columns, descending, and return the specified number of rows notna() Finds values that are not not-a-number notnull() Finds values that are not NULL nsmallest() Sort the DataFrame by the specified columns, ascending, and return the specified nu...
data['origin'].replace("america","America",inplace=True) # 将第一个值替换为第二个值,inplace默认为Falsedata['origin'] 输出结果: data['money'].replace(-10,np.nan,inplace=True) # 将负值替换为空值data['money'].replace(np.nan,data['money'].mean(),inplace=True) # 将空值替换为均值...
Applies/removes sorting (Ascending/Descending/Clear) to the column selected Important: as you add sorts they sort added will be added to the end of the multi-sort. For example: ActionSort click "a" sort asc a (asc) click "b" a (asc) sort desc a (asc), b(desc) click "a" a ...
01.012.023.0dtype:float64 我们可以看到,如果我们不指定dtype, 那么其会自行推断 data = np.array(['a','b','c','d']) s = pd.Series(data, index=np.arange(100,104)) s 100a101b102c103ddtype:object 利用dict来创建series data = {'a':0,"b":1,'c':2} ...
s2 = s.str.replace("polar","pola") print(s2) from datetime import date start = date(2001, 1, 1) stop = date(2001, 1, 9) s = pl.date_range(start, stop, interval="2d", eager=True) print(s.dt.day) DataFrame 是一个二维数据结构,由一个或多个 Series 支持,可以看作是对一系列(...
.sort("pro", descending=True) .limit(5) ) df = q.collect() print(df) # 6. 缺失值df = pl.DataFrame( { "value": [1, None], }, ) print(df) null_count_df = df.null_count() print(null_count_df) df = pl.DataFrame(