'close', 'high', 'low', 'volume', '成交额', '振幅', '涨跌幅', '涨跌额', '换手率'] data.columns = columnsfor m in columns[1:]: data[m] = pd.to_numeric(data[m]) data.sort_index(ascending=True, ignore_index=True, inplace=True)return dataexcept:passimport time while...
字典数据{} #result用来接收被装饰函数的返回值 result =...itcast1 def add(num1, num2): print(num1+num2) add(100, 200) # inner(100, 200) # 函数中如果没有使用return返回值...,默认情况函数也是有返回值的,默认返回None @itcast1 def minus(num1,num2): return num1-num2 ret = minus(...
如果重复需要用比如pandas,后面再import,之前的话都是灰色了fromdatetimeimportdatetimeimportmatplotlib.pyplotaspltimportosfromcollectionsimportOrderedDict# python 3.7 needfrommultiprocessingimportPool,cpu_countfromtypingimportList,Union,Dict,Tupleimportrandom
all #Return True if bool(x) is True for all values x in the iterable.If the iterable is empty, return True. 3. any #Return True if bool(x) is True for any x in the iterable.If the iterable is empty, return False. 4. ascii #Return an ASCII-only representation of an object,asci...
--- Series from Python List (custom index) ---") print(s_from_list_custom_index) # 输出: # a 10 # b 20 # c 30 # d 40 # e 50 # dtype: int64 # 2. 从 NumPy 数组创建 Series # 这是非常常见的方式,因为 Pandas 底层大量依赖 NumPy ...
return Results '''F7函数''' def F7(X): dim = X.shape[0] Temp = np.arange(1,dim+1,1) Results=np.sum(Temp*(X**4))+np.random.random() return Results '''F8函数''' def F8(X): Results=np.sum(-X*np.sin(np.sqrt(np.abs(X))) return...
notnull()] #剔除空值 return lagrange(y.index, list(y))(n) #插值并返回插值结果 #逐个元素判断是否需要插值 for i in data.columns: for j in range(len(data)): if (data[i].isnull())[j]: #如果为空即插值。 data[i][j] = ployinterp_column(data[i], j) data.to_excel(outputfile)...
names.append(name.strip())returnnames# 提取文本信息defextract_content(filename):returnopen_file(filename)# 统计人物出现频数defcount_frequency(names, content): data = []fornameinnames: num =sum(1forlineincontentifnameinline) data.append((name, num))returndata# 生成词云defgenerate_wordcloud(data...
1、导入Python包及数据概览 #导入包importpandasaspdimportnumpyasnpimportmatplotlib.pyplotaspltimportmatplotlib%matplotlib inline matplotlib.rcParams['font.sans-serif']=['SimHei']matplotlib.rcParams['axes.unicode_minus']=Falseimportseabornassnsimportcopyfromscipyimportstatsfromsklearn.ensembleimportRandomForestReg...
xticks=np.linspace(0,len(data),(len_xticks+1)).astype(int).tolist()[:-1]#被显示的横坐标刻度值的位置 plt.xticks(data.index[xticks],rotation=270) plt.ylabel(ylabel,fontsize=15) plt.xlabel(xlabel,fontsize=15) plt.grid(True,alpha=0.2) ...