for i in range(10): data.append([i, i**2, i**3]) 创建数据帧并指定列名: 代码语言:txt 复制 df = pd.DataFrame(data, columns=['Number', 'Square', 'Cube']) 完成上述步骤后,你将得到一个包含三列数据的数据帧df,每一列分别表示数字、平方和立方。你可以根据实际需求进行进一步的数据处理和分...
for i in books.index: books["ID"].at[i]=i+1 # 方法2: for i in range(0,20): # books["ID"].at[i]=i+1 这是先找出指定的那一列(Series),再找到要替换的那一行 books.at[i,"ID"]=i+1 # 这是直接在二维表(DataFrame)里指定第几行,第几列要替换 print(books) print("===>",book...
for i in range(len(df)): print(df.loc[i, "Name"], df.loc[i, "Age"]) 输出 Given Dataframe : Name Age Stream Percentage 0 Ankit 21 Math 88 1 Amit 19 Commerce 92 2 Aishwarya 20 Arts 95 3 Priyanka 18 Biology 70 Iterating over rows using loc function : Ankit 21 Amit 19 Aishwary...
st = [] for i in range(len(jd)): s = str(jd[i]) n = s.find('要求') m = s.find('资格') if n > 0: t = s[n:].find('\n\n') st.append(s[n:t+n]) elif m > 0: t = s[m:].find('\n\n') st.append(s[m:t+m]) else: st.append(['']) df['职位要求']...
for i in range(len(data)): if type(data.iloc[i,13]) != float: temp = temp.append(data.loc[i]) temp 63异常值处理 题目:打印所有换手率为--的行 难度:⭐⭐⭐ 答案 data[data['换手率(%)'].isin(['--'])] 备注 通过上一题我们发现换手率的异常值只有-- 64数据处理 题目:重置data...
for i in df.itertuples(): print(i[3]) #某列, 使用列序号,获取整行, 类型为元组 2.3.2用行号和列号遍历2 for i in range(0 , len(df)): #len(df)总行数 for j in range(0,df.shape[1]): #df.shape[1]总列数 a = df.iloc[ [i] , [j] ] ...
for i in range(len(df)): df.iloc[i, col_no] = df['A'].iloc[i] + df['C'].iloc[i] 1. 2. 3. 4. 用loc无需先给E列赋空值: for i in df.index: df.loc[i, 'E'] = df.loc[i, 'A'] + df.loc[i, 'C'] 1. ...
for i in range(len(df)): df.ix[i,0] = df.ix[i,0].to_pydatetime().strftime("%m-%d") df.head() 1. 2. 3. 4. 26 数据查看 题目:查看索引、数据类型和内存信息 难度:⭐ 期望输出 <class 'pandas.core.frame.DataFrame'> RangeIndex: 135 entries, 0 to 134 ...
k =[]foriinrange(len(data)):iftype(data.iloc[i,13]) !=float: k.append(i) data.drop(labels=k,inplace=True) 66.绘制换手率的密度曲线 data['换手率(%)'].plot(kind='kde') 67.计算前一天与后一天收盘价的差值 data['收盘价(元)'].diff() ...
(num_values, dtype=np.int64)...: for i in range(num_values):...: if self.use_expanding[i]:...: start[i] = 0...: end[i] = i + 1...: else:...: start[i] = i...: end[i] = i + self.window_size...: return start, end...:In [46]: indexer = CustomIndexer(win...