df["Order Date"] = pd.to_datetime(df["Order Date"]) to_numeric()可以将列转换为数字数据类型(例如,整数或浮点数)。 # Convert data type of Order Quantity column to numeric data type df["Order Quantity"] = pd.to_numeric(df["Order Quantity"]) to_timedelta()方法将列转换为timedelta数据类型...
没有则返回-1 :param data_col: 查询的列 :param val: 具体取值 """ va...
- Convert to float type"""new_val= val.replace(',','').replace('$','')returnfloat(new_val) df_2= pd.read_csv("https://github.com/chris1610/pbpython/blob/master/data/sales_data_types.csv?raw=True",dtype={'Customer Number':'int'},converters={'2016': convert_currency,'2017': ...
defconvert_currency(val):"""Convert the string number value to a float - Remove $ - Remove commas - Convert to float type"""new_val= val.replace(',','').replace('$','')returnfloat(new_val) df_2= pd.read_csv("https://github.com/chris1610/pbpython/blob/master/data/sales_data_...
- Convert to float type """ new_val = val.replace(',','').replace('$', '') return float(new_val) 该代码使用 python 的字符串函数去除“$”和“,”,然后将值转换为浮点数 也行有人会建议我们使用 Decimal 类型的货币。但这不是 pandas 中的内置数据类型,所以我们使用 float 方法 ...
(key) 1123 # Convert generator to list before going through hashable part 1124 # (We will iterate through the generator there to check for slices) 1125 if is_iterator(key): File ~/work/pandas/pandas/pandas/core/series.py:1237, in Series._get_value(self, label, takeable) 1234 return ...
convert_dtypes方法可以用来进行比较智能的数据类型转换。 print(df.dtypes) ''' 国家object 受欢迎度 int64 评分float64 向往度 float64 over_long int64 dtype: object ''' dfn = df.convert_dtypes() print(dfn.dtypes) ''' 国家string 受欢迎度 Int64 ...
(key) 1123 # Convert generator to list before going through hashable part 1124 # (We will iterate through the generator there to check for slices) 1125 if is_iterator(key): File ~/work/pandas/pandas/pandas/core/series.py:1237, in Series._get_value(self, label, takeable) 1234 return ...
(key) 1123 # Convert generator to list before going through hashable part 1124 # (We will iterate through the generator there to check for slices) 1125 if is_iterator(key): File ~/work/pandas/pandas/pandas/core/series.py:1237, in Series._get_value(self, label, takeable) 1234 return ...
如果未来增加了新类型,convert_dtypes方法也会同步更新,并支持新的变量类型。 以上就是本次分享的所有内容,如果你觉得文章还不错,欢迎关注公众号:Python编程学习圈,每日干货分享,发送“J”还可领取大量学习资料,内容覆盖Python电子书、教程、数据库编程、Django,爬虫,云计算等等。或是前往编程学习网,了解更多编程技术知...