import pandas as pd df = pd.DataFrame({ "fruit": ["apple", "orange"], "Aldi": [4, 5], "Walmart": [6, 7], "Costco": [1, 2] }) df 代码语言:python 代码运行次数:0 运行 AI代码解释 # Turn Aldi, Walmart, Costco into values of "store" df.melt(id_vars=["fruit"], value...
import polars as pl import time # 读取 CSV 文件 start = time.time() df_pl_gpu = pl.read_csv('test_data.csv') load_time_pl_gpu = time.time() - start # 过滤操作 start = time.time() filtered_pl_gpu = df_pl_gpu.filter(pl.col('value1') > 50) filter_time_pl_gpu = time.t...
# Turn Aldi, Walmart, Costco into values of "store" df.melt(id_vars=["fruit"], value_vars=["Aldi", "Walmart", "Costco"], var_name='store') 13:重命名聚合列 我们经常会使用分组聚合的功能,如果要为聚合分配新名称,可以使用name = (column, agg_method)方法: import pandas as pd df = ...
importpandasaspd df=pd.DataFrame({"a":["1,2","4,5"],"b":[11,13]})# Turn strings into listsdf.a=df.a.str.split(",")df 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. print(df.explode("a",ignore_index=False)) 1. 💡 9:数据相关性 如果要计算两个 DataFrame 的行或列之间的相关...
to_markdown() # 显示 markdown 代码 df.to_string() # 显示格式化字符 df.to_latex(index=False) # LaTeX tabular, longtable df.to_dict('split') # 字典, 格式list/series/records/index df.to_clipboard(sep=',', index=False) # 存入系统剪贴板 # 将两个表格输出到一个excel文件里面,导出到多个...
# Turn off the max column width so the images won't be truncated pd.set_option('display.max_colwidth', -1) # Turning off the max column will display all the data # if gathering into sets / array we might want to restrict to a few items pd.set_option('display.max_seq_items', ...
df=DataFrame(np.random.randn(12).reshape((4,3)),columns=list("bde"),index=["Utah","Ohio","Texas","Oregon"])print("df:",df,sep='\n')print("pandas use numpy function result:",np.abs(df),sep='\n') 5.4.2 DataFrame对象的apply方法 ...
# Turn into Multiple Columns new_df['col'].apply(pd.Series), left_index=True, right_index=True) \ .drop(columns=['col']) # Drop Old Col Column # Rename Columns new_df.columns = ['ID', 'col1', 'col2', 'col3', 'col4'] ...
df.to_string() # 显示格式化字符df.to_latex(index=False) # LaTeX tabular, longtabledf.to_dict('split') # 字典, 格式 list/series/records/indexdf.to_clipboard(sep=',', index=False) # 存入系统剪贴板# 将两个表格输出到一个excel文件里面,导出到多个 sheetwriter=pd.ExcelWriter('new.xlsx')df...
df1.to_excel(writer, sheet_name='第一个') df2.to_excel(writer, sheet_name='第二个') 回到顶部 三、创建测试对象 # 创建20行5列的随机数组成的 DataFrame 对象 pd.DataFrame(np.random.rand(20,5)) # 从可迭代对象 my_list 创建一个 Series 对象 ...