DataFrame(mydata) df # 输出 Column1 Column2 0 1 a 1 2 b 2 3 c 指定行索引: # 指定行索引 df.index = ['row1', 'row2', 'row3'] df # 输出 Column1 Column2 row1 1 a row2 2 b row3 3 c 使用另一个 Series 或数组作为索引: # 使用另一个 Series 或数组作为索引 i
Pandas中一共有三种数据结构,分别为:Series、DataFrame和MultiIndex(老版本中叫Panel)。 其中Series是一维数据结构,DataFrame是二维的表格型数据结构,MultiIndex是三维的数据结构。 1.2.1 Series Series是一个类似于一维数组的数据结构,它能够保存任何类型的数据,比如整数、字符串、浮点数等,主要由一组数据和与之相关的索...
Multiple Series can be combined to create a DataFrame, treating each Series as a column. Thepd.concat()function is commonly used to concatenate multiple Series objects along columns or rows to form a DataFrame. When creating a DataFrame from multiple Series, Pandas aligns the Series by their in...
A series is a one-dimensional array-like object containing a sequence of values(of similar types to NumPy types) and an associated array of data labels, called it's index. The simplest(简明来说) Series is formed from only an array of data. -> Series像是一个有索引的一维NumPy数组. obj ...
Creating aSeriesby passing a list of values, letting pandas create a default integer index: In [4]:s=pd.Series([1,3,5,np.nan,6,8])In [5]:sOut[5]:0 1.01 3.02 5.03 NaN4 6.05 8.0dtype: float64 Creating aDataFrameby passing a numpy array, with a datetime index and labeled column...
Now, we can create a DataFrame from the series object using the `pd.DataFrame()` method. For example, df = pd.DataFrame(s) This will create a DataFrame with two columns: one for the index and one for the values in the series. To assign a name to the column containing the values ...
DatetimeIndex:时间戳索引容器,当DataFrame/Series的索引为Timestamp对象时自动生成,支持df.index.year快速提取时间组件 Period:表示时间区间的特殊类型,如pd.Period('2025-06', freq='M')创建六月整月对象 Timedelta:时间间隔类型,支持pd.Timedelta(days=2, hours=3)格式化创建 ...
1. DataFrameDataFrame是Pandas中最重要的数据结构之一，可以看作是一种二维表格数据结构，类似于Excel中的电子表格。如下图所示，一个表格在excel和pandas中的展示方式保持一致：DataFrame由行和列组成，每一列可以包含不同的数据类型（如整数、浮点数、字符串等），并且可以对数据进行灵活的操作和分析。它的具体结构在...
DatetimeIndex:时间戳索引容器,当DataFrame/Series的索引为Timestamp对象时自动生成,支持df.index.year快速提取时间组件 Period:表示时间区间的特殊类型,如pd.Period('2025-06', freq='M')创建六月整月对象 Timedelta:时间间隔类型,支持pd.Timedelta(days=2, hours=3)格式化创建 ...
Thus, whever you see pd in code, it is refering to pandas. You may also find it easier to import Series and Dataframe into the local namespace since they are frequently used: "from pandas import Series DataFrame" To get start with pandas, you will need to comfortable(充分了解) with it...