'FEMALE':'GIRL', 'female': 'girl'}, inplace=True)end_time = time.time()dict_time = end_time - start_timeprint("Time using .replace() with dictionary: {} sec".format(dict_time))names
dict_time = end_time - start_timeprint("Time using .replace() with dictionary: {} sec".format(dict_time)) names = pd.read_csv('Popular_Baby_Names.csv') start_time =time.time() names['Gender'].replace('MALE','BOY', inplace=True) names['Gender'].replace('FEMALE','GIRL', inpla...
print("Time using .replace() with dictionary: {} sec".format(dict_time)) names = pd.read_csv('Popular_Baby_Names.csv') start_time = time.time() names['Gender'].replace('MALE', 'BOY', inplace=True) names['Gender'].replace('FEMALE', 'GIRL', inplace=True) names['Gender'].repla...
第二种方法是使用panda的内置函数.replace(),如下所示: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 start_time=time.time()names['Gender'].replace('female','FEMALE',inplace=True)end_time=time.time()replace_time=end_time-start_timeprint("Time using replace(): {} sec".format(replace_t...
.replace()method is used to replace the target value with the desired value. This method searches all the appearances of the target value and replaces all the appearances with the desired value. The target value and desired value can be passed in the form of key and value of a dictionary...
而replace() 不是一个字符串方法,它提供了一种方便的方式来使用映射或词汇表来转换某些值。它需要一个dictionary来定义映射 {from : to}。 警告 还有一个可用的replace()方法,可以替换特定的字符集。但是,当有多个值的映射时,这将变得: 代码语言:javascript 代码运行次数:0 运行 复制 titanic["Sex_short"] =...
names = pd.read_csv('Popular_Baby_Names.csv') start_time = time.time() names['Gender'].replace({'MALE':'BOY', 'FEMALE':'GIRL', 'female': 'girl'}, inplace=True) end_time = time.time() dict_time = end_time - start_time print("Time using .replace() with dictionary: {} sec...
newval = df.replace({y: mydictionary}, inplace=True, regex=True, value=None) print("old: " + str(oldval) + " new: " + str(newval)) # 7. update the cell ws.cell(row=rangerow, column=col).value = newval else: print("not in the string") ...
# importing pandas packageimportpandasaspd# making data frame from csv filedata=pd.read_csv("employees.csv")# filling a null values using fillna()data["Gender"].fillna("No Gender",inplace=True)data 代码5:使用replace()方法填充空值 # importing pandas packageimportpandasaspd# making data frame ...
5. Replace with Dictionary You can also replace a column values in a Pandas DataFrame with a dictionary by using thereplace()function. Thereplace()function allows you to specify a dictionary that maps values in the column to the new values you want to replace them with. ...