Exploded lists to rows of the subset columns; index will be duplicated for these rows. Raises: ValueError If columns of the frame are not unique. If specified columns to explode is empty list. If specified columns to explode have not matching count of elements rowwise in the frame. See als...
Python Copy 输出: 方法3:使用Pandas的explode函数 将每个名字的字符串转换成一个列表,并使用Pandas explode()函数按每个元素分割列表,为每个元素创建一个新行。 # use explode to convert list elements to rowsdf_explode=df.assign(names=df.names.str.split(",")).explode('names')print(df_explode) Python...
The explode() function is used to transform each element of a list-like to a row, replicating the index values. Syntax: Series.explode(self) → 'Series' Returns:Series- Exploded lists to rows; index will be duplicated for these rows. Notes: This routine will explode list-likes including l...
Series.explode : Explode a DataFrame from list-like columns to long format. Notes --- This routine will explode list-likes including lists, tuples, Series, and np.ndarray. The result dtype of the subset rows will be object. Scalars will be returned unchanged. Empty list-likes will result ...
Exploding Multiple Columns involves expanding list-like data in more than one column into separate rows. Theexplode()function in Pandas can be used to explode multiple columns, but it requires handling each column properly. The index of the DataFrame is preserved during the explosion, which might...
import pandas as pd file_path = "./course_datas/c39_explode_to_manyrows/读者提供的数据-输入.xlsx" df = pd.read_excel(file_path) df 2. 把多列合并到一列 # 提取待合并的所有列名,一会可以把它们drop掉 merge_names = list(df.loc[:, "Supplier":].columns.values) merge_names ['Supplier...
df.explode('ListColumn') df.explode('Hobbies') 34、使用agg进行多个聚合操作 df.groupby('GroupColumn').agg({'Column1': 'mean', 'Column2': ['min', 'max']}) df.groupby('Status').agg({'Salary': ['mean', 'min', 'max']}) ...
你可以使用.explode() df['index'] = df.apply(lambda row: list(range(row['index_start'], row['index_end']+1)), axis=1)df.explode('index') item index_start index_end index0 A 1 3 10 A 1 3 20 A 1 3 31 B 4 7 41 B 4 7 51 B 4 7 61 B 4 7 7 ...
# Explode into Rows new_df = df.explode('col').reset_index(drop=True) # Merge Back Together new_df = new_df.merge( # Turn into Multiple Columns new_df['col'].apply(pd.Series), left_index=True, right_index=True) \ .drop(columns=['col']) # Drop Old Col Column ...
melt() 和wide_to_long():将宽格式的DataFrame转换为长格式。 get_dummies() 和from_dummies():使用指示变量进行转换。 explode():将类似列表的值的列转换为单独的行。 crosstab():计算多个一维因子数组的交叉制表。 cut():将连续变量转换为离散的分类值。 factorize():将一维变量编码为整数标签。 pi...