ref: Ways to filter Pandas DataFrame by column valuesFilter by Column Value:To select rows based on a specific column value, use the index chain method. For example, to filter rows where sales are over 300: Py
'Email':['tom@pandasdataframe.com','nick@pandasdataframe.com','john@pandasdataframe.com','tom@pandasdataframe.com']}df=pd.DataFrame(data,index=['a','b','c','d'])filtered_df=df.filter(items=['a','c'],axis=0)print(filtered_df)...
pandas.DataFrame取列操作 此处,取第一列数据: df['Artist'] pandas.DataFrame取行操作 此处,取第二、第三行数据(⚠️注意,df[1:3]不包含左边界): df[1:3] pandas.DataFrame取行、列操作 此处,取第一列中,第一、二、第三行数(⚠️注意,df.loc[1:3]包含左边界): df.loc[1:3,['Artist...
How do I filter rows of a pandas DataFrame by column value? How do I apply multiple filter criteria to a pandas DataFrame? Your pandas questions answered! How do I use the "axis" parameter in pandas? How do I use string methods in pandas? How do I change the data type of a pandas...
1、删除存在缺失值的:dropna(axis='rows') 注:不会修改原数据,需要接受返回值 2、替换缺失值:fillna(value, inplace=True) value:替换成的值 inplace:True:会修改原数据,False:不替换修改原数据,生成新的对象 pd.isnull(df), pd.notnull(df) 判断数据中是否包含NaN: 存在缺失值nan: (3)如果缺失值没有...
器DataFrame.itertuples([index, name])Iterate over DataFrame rows as namedtuples, with index value as first element of the tuple.DataFrame.lookup(row_labels, col_labels)Label-based “fancy indexing” function for DataFrame.DataFrame.pop(item)返回删除的项目DataFrame.tail([n])返回最后n行DataFrame....
3. 在整个DataFrame上操作 代码语言:javascript 代码运行次数:0 运行 AI代码解释 In[18]: pd.options.display.max_rows = 8 movie = pd.read_csv('data/movie.csv') # 打印行数和列数 movie.shape Out[18]: (4916, 28) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # 打印数据的个数 In[19...
df.filter(items=['Q1', 'Q2']) # 选择两列df.filter(regex='Q', axis=1) # 列名包含Q的列df.filter(regex='e$', axis=1) # 以e结尾的列df.filter(regex='1$', axis=0) # 正则,索引名以1结尾df.filter(like='2', axis=0) # 索引中有2的# 索引...
filter() Filter the DataFrame according to the specified filter first() Returns the first rows of a specified date selection floordiv() Divides the values of a DataFrame with the specified value(s), and floor the values ge() Returns True for values greater than, or equal to the specified ...
dataframe.filter(items, like, regex, axis) ParametersThe item, like, regex, axis parameters are keyword arguments.ParameterValueDescription items List Optional. A list of labels or indexes of the rows or columns to keep like String Optional. A string that specifies what the indexes or column ...