By default, TheDataFrame.drop()throwsKeyErrorif the column you are trying to delete does not exist in the dataset. If we want to drop the column only if exists then we can suppress the error by using the parametererrors. Seterrors='ignore'to not throw any errors. Seterrors='raised'to thr...
# 用于获取带有标签列的seriesdf[column]# 选择多列df[['column_name1', 'column_name2']]# 通过标签选择单行df.loc[label] # 通过标签选择多行df.loc[[label1, label2, label3]]# 通过整数索引选择单行df.iloc[index]# 通过整数索引选择多行df.iloc[start_index:end_index]# 根据条件过滤行df[df['...
import pandas as pd def test(): # 读取Excel文件 df = pd.read_excel('测试数据.xlsx') def modify_value(x): if x < 5: return '是' elif x < 10: return '否' else: return 'x' # 插入列 for col_num in range(4, 9): df.insert(loc=col_num, column=f'列{col_num-3}', value...
importpandasaspd# 将数据保存为CSV文件df.to_csv(, index=False)# 将数据保存为Excel文件df.to_excel(, index=False)# 将数据保存到数据库importsqlite3conn = sqlite3.connect()df.to_sql('table_name', conn, if_exists='replace', index=False)在上面的例子中，我们分别将数据保存为CSV文件、Excel文件...
When the column overflows, a "..." placeholder is embedded in the output. [default: 50] [currently: 200] display.max_info_columns : int max_info_columns is used in DataFrame.info method to decide if per column information will be printed. [default: 100] [currently: 100] display.max_...
to_records([index, column_dtypes, index_dtypes]) 将DataFrame转换为NumPy记录数组。to_sql(name, con[, schema, if_exists, …]) 将存储在DataFrame中的记录写入SQL数据库。to_stata(**kwargs) 将DataFrame对象导出为Stata dta格式。to_string([buf, columns, col_space, header, …]) 将DataFrame渲染到...
Series s.loc[indexer] DataFrame df.loc[row_indexer,column_indexer] 基础知识 如在上一节介绍数据结构时提到的,使用[](即__getitem__,对于熟悉在 Python 中实现类行为的人)进行索引的主要功能是选择较低维度的切片。以下表格显示了使用[]索引pandas 对象时的返回类型值: 对象类型 选择 返回值类型 Series seri...
index_label : str or sequence, or False, default None Column label for index column(s) if desired. If None is given, and `header` and `index` are True, then the index names are used. A sequence should be given if the object uses MultiIndex. If False do not print fields for index...
select: this creates a dropdown populated with the unique values of "column" (an asynchronous dropdown if the column has a large amount of unique values) multiselect: same as "select" but it will allow you to choose multiple values (handy if you want to perform an isin operation in your...
I need to process the timestamp column with the datetime64 type. How do I do that if I drop the column? Are there any other methods to do .sum() with datetime64 type columns? In 1.5.3 you should have gotten a warning that silently dropping non-numeric columns in reductions was deprec...