In [21]: sa.a = 5 In [22]: sa Out[22]: a 5 b 2 c 3 dtype: int64 In [23]: dfa.A = list(range(len(dfa.index))) # ok if A already exists In [24]: dfa Out[24]: A B C D 2000-01-01 0 0.469112 -1.509059 -1.135632 2000-
a5b2c3dtype: int64 In [20]: dfa.A = list(range(len(dfa.index))) # okifA already exists In [21]: dfa Out[21]: A B C D2000-01-010-0.282863-1.509059-1.1356322000-01-021-0.1732150.119209-1.0442362000-01-032-2.104569-0.4949291.0718042000-01-043-0.706771-1.0395750.2718602000-01-0540.56702...
Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fastHDF5format; Intelligentdata alignmentand integrated handling of missing data: gain automatic label-based alignment in computations and easily manip...
一个Series、Index或DataFrame的列可以直接由pyarrow.ChunkedArray支持,这类似于 NumPy 数组。要从主要的 pandas 数据结构构造这些,您可以在dtype参数中传入类型后跟[pyarrow]的字符串,例如"int64[pyarrow]"。 In [1]: ser = pd.Series([-1.5,0.2,None], dtype="float32[pyarrow]") In [2]: ser Out[2]:0...
(self, start, end, step)674 # GH#33146 if start and end are combinations of str and None and Index is not675 # monotonic, we can not use Index.slice_indexer because it does not honor the676 # actual elements, is only searching for start and end677 if (678 check_str_or_none(...
DataFrame2带标签的，大小可变的，二维异构表格(行：index；列：columns)2. 生成对象 2.1 Series impor...
index_col='column1')读取 Excel 文件# 读取第一个工作簿df=pd.read_excel('filename.xlsx',sheet_...
T Return the transpose,whichisby definition self.array The ExtensionArray of the data backing this SeriesorIndex.at Access a single valuefora row/column label pair.attrs Dictionary ofglobalattributes of this dataset.axes Return alistof the row axis labels.dtype Return the dtypeobjectof the under...
2. Add Column Name to Pandas Series By usingnameparam you can add a column name to Pandas Series at the time of creation usingpandas.Series()function. The row labels of the Series are called theindexand the Series can have only one column. A List, NumPy Array, and Dict can be turned...
With the index argument, you can name your own labels.Example Create your own labels: import pandas as pd a = [1, 7, 2]myvar = pd.Series(a, index = ["x", "y", "z"]) print(myvar) Try it Yourself » When you have created labels, you can access an item by referring to ...