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 2000-01-02 1 1.212112 0.119209 -1.044236 2000-01...
header=0,index_col=0)name=os.path.split(tsvFile)[-1][:-4]#thisoptions is very arbitaryfor_typeintypeL:# add _ to type to avoid override Python innerfunction`type`expr_type=expr.loc[:,[_type]]expr_type.columns=[name]resultD[_type].append(expr_type)returnresultD...
importpandasaspd# 创建示例数据data={'category':['A','B','A','B','A'],'subcategory':['X','X','Y','Y','X'],'sales':[100,200,150,300,120]}df=pd.DataFrame(data)# 使用sum()计算每个类别的总销售额result=df.groupby('category')['sales'].sum()print("Sum of sales by category...
import pandas as pd import numpy as np # 创建DataFrame对象 index = pd.date_range("2024-04-...
-032-2.104569-0.4949291.0718042000-01-043-0.706771-1.0395750.2718602000-01-0540.5670200.276232-1.0874012000-01-0650.113648-1.4784270.5249882000-01-0760.577046-1.715002-1.0392682000-01-087-1.157892-1.3443120.844885In [22]: dfa['A'] = list(range(len(dfa.index))) # usethisform to create anewcolumn...
(key, axis=axis)1715 except IndexError as err:1716 # re-raise with different error message, e.g. test_getitem_ndarray_3dFile ~/work/pandas/pandas/pandas/core/generic.py:4153, in NDFrame._take_with_is_copy(self, indices, axis)4144 """4145 Internal version of the `take` method that ...
#Series object representing the "NDB_No" column.#ndb_col = food_info["NDB_No"]#根据"NDB_No"这个列名来打印此列#print(ndb_col)#Alternatively, you can access a column by passing in a string variable.col_name ="NDB_No"ndb_col=food_info[col_name]print(ndb_col) ...
df.to_excel("path_to_file.xlsx", index_label="label", merge_cells=False)• 1 为了将单独的DataFrame写入单个 Excel 文件的不同工作表中,可以传递一个ExcelWriter。 with pd.ExcelWriter("path_to_file.xlsx") as writer:df1.to_excel(writer, sheet_name="Sheet1")df2.to_excel(writer, sheet_...
# Alternatively, you can access a column by passing in a string variable. #col_name = "NDB_No" #ndb_col = food_info[col_name] #columns = ["Zinc_(mg)", "Copper_(mg)"] #zinc_copper = food_info[columns] #print zinc_copper ...
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...