insert(loc, column, value[, allow_duplicates])在指定位置插入列到DataFrame中。interpolate([method, ...
我们创建了另一个名为 another_list 的列表,其中包含元素 [10, 11, 12]。 使用df['D'] = another_list 直接将 another_list 作为新列添加到 DataFrame 中,列名为 D。 如果列表的长度与 DataFrame 的行数不同: 代码语言:javascript 复制 import pandas as pd # 创建一个 DataFrame df = pd.DataFrame({...
df['column_name'].fillna(df['other_column_name'], inplace=True) 1. 在上面的代码中,我们首先使用fillna()函数将column_name列中的空值替换为同一行中的other_column_name列的值,最后将结果赋值给column_name列。 需要注意的是,fillna()函数的inplace参数默认为False,表示不在原始DataFrame上进行修改。如果...
with pd.ExcelFile('test.xlsx') as xls: print(xls.sheet_names) #['Sheet1', 'Sheet2', 'NewSheet'] df1 = xls.parse(sheet_name='Sheet1', index_col=0) df2 = xls.parse(sheet_name='Sheet2') df3 = xls.parse(sheet_name='NewSheet', index_col=0) print(df1) print(df2) print(df...
table.add_column(col)foridxinrange(len(df)): table.add_row(*df.iloc[idx].tolist()) console = Console() console.print(table) 主函数也稍微做些调整,不是直接print(df),而是用DataFramePretty类来显示。 importpandasaspdfromdataframe_prettyimportDataFramePrettyif__name__ =="__main__": ...
新增列 import pandas as pd df = pd.DataFrame({ 'col_1': [0, 1, 2, 3], 'col_2':...新增多列 list unpacking import pandas as pd import numpy as np df = pd.DataFrame({...也可以一行匹配 df[['column_new_1', 'column_new_2', 'column_new_3']] = pd.DataFrame([[np.nan, ...
DataFrame.insert(loc, column, value) #在特殊地点loc[数字]插入column[列名]某列数据 DataFrame.iter() #Iterate over infor axis DataFrame.iteritems() #返回列名和序列的迭代器 DataFrame.iterrows() #返回索引和序列的迭代器 DataFrame.itertuples([index, name]) #Iterate over DataFrame rows as namedtuple...
Next, we have to create a list that we can insert as a new row to our DataFrame later on: new_row=[1,2,3]# Create new rowprint(new_row)# Print new row# [1, 2, 3] As you can see, our new row that we will combine with our DataFrame contains the values 1, 2, and 3. ...
DataFrame.insert(loc, column, value[, …])在特殊地点插入行 DataFrame.iter()Iterate over infor axis DataFrame.iteritems()返回列名和序列的迭代器 DataFrame.iterrows()返回索引和序列的迭代器 DataFrame.itertuples([index, name])Iterate over DataFrame rows as namedtuples, with index value as first elem...
NullCount The number of null values in this column. Methods Expand table Abs(Boolean) Updates each numeric element with its absolute numeric value Add(DataFrameColumn, Boolean) Performs element-wise addition Add<T>(T, Boolean) Performs an element-wise addition on each value in the column...