通过布尔数组获取值: 代码语言:javascript 代码运行次数:0 运行 复制 In [56]: df1.loc['a'] > 0 Out[56]: A True B False C False D False Name: a, dtype: bool In [57]: df1.loc[:, df1.loc['a'] > 0] Out[57]: A a 0.132003 b 1.130127 c 1.024180 d 0.974466 e 0.545952 f -...
df.at([index, column]) access single element df.reset_index() df.append() smilar to pd.concat df.query('condition') such as 'a>100 and 'b<20' df.to_html() df.max() default axis=0, return maximum of every column df.max().max() maximum of the table df.mean() ...
复制 df.info() <class 'pandas.core.frame.DataFrame'> RangeIndex: 6040 entries, 0 to 6039 Data columns (total 5 columns): UserID 6040 non-null int64 Gender 6040 non-null object Age 6040 non-null int64 Occupation 6040 non-null int64 Zip-code 6040 non-null object dtypes: int64(3), obje...
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 into a pandas Series. Let’screate ...
5. Rename the Column by Index or Position Torename the column by Index/positioncan be done by usingdf.columns.values[index]='value. Index or position can be used interchanging to access columns at a given position. By using this you can rename the first column to the last column. ...
read_excel可以通过将sheet_name设置为工作表名称列表、工作表位置列表或None来读取多个工作表。可以通过工作表索引或工作表名称指定工作表,分别使用整数或字符串。 ### 读取MultiIndex read_excel可以通过将列列表传递给index_col和将行列表传递给header来读取MultiIndex索引。如果index或columns具有序列化级别名称,也可以...
│ column_0 ┆ column_1 │ │ --- ┆ --- │ │ i64 ┆ i64 │ ╞══════════╪══════════╡ │ 0 ┆ 3 │ │ 2 ┆ 7 │ └──────────┴──────────┘ """# 由于我们没有指定列名,因此 Polars 会自动以 column_0、column_1、··· ...
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...
# 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 ...
A pandas Series is a one-dimensional data structure (“a one-dimensional ndarray”) that can store values — and for every value, it holds a unique index, too. You can think of it as asingle columnof a bigger table. And it’s just enough if you know this much about Series for now...