python import pandas as pd # 假设df是一个包含大量数据的DataFrame df = pd.DataFrame({ 'Column1': range(1000000), # 示例数据 'Column2': ['Data'] * 1000000 }) # 调整导出设置,例如使用Excel格式并启用压缩 with pd.ExcelWriter('large_data.xlsx', engine='xlsxwriter', options={'compression'...
6.1 用pandas dataframe读入共词矩阵 df_co_word_matrix = pd.read_excel(os.path.join(raw_data_dir, file_co_word_matrix)) df_co_word_matrix.head(2) 6.2 提取字段名 将用于给graph的node命名 coword_names = df_co_word_matrix.columns.values[1:] print("There are ", len(coword_names), "...
dataframe-api-compat : None fastparquet : None fsspec : None html5lib : None hypothesis : None gcsfs : None jinja2 : None lxml.etree : None matplotlib : None numba : None numexpr : 2.10.2 odfpy : None openpyxl : 3.1.2 pandas_gbq : None psycopg2 : 2.9.10 pymysql : None pyarrow :...
dask_cuda/explicit_comms/dataframe/shuffle.py 98.69% <0.00%> (+0.65%) ⬆️ dask_cuda/proxy_object.py 91.74% <0.00%> (+1.11%) ⬆️ dask_cuda/device_host_file.py 71.66% <0.00%> (+1.66%) ⬆️ ... and 4 more Continue to review full report at Codecov. Legend - Click ...
6.1 用pandas dataframe读入共词矩阵 df_co_word_matrix = pd.read_excel(os.path.join(raw_data_dir, file_co_word_matrix)) df_co_word_matrix.head(2) 6.2 提取字段名 将用于给graph的node命名 coword_names = df_co_word_matrix.columns.values[1:] ...
I want to attach files to a blob field in mysql,but the problem is I can't attach images more than 1 mb in size.How could I solve my problem?Need Help!Thanks [Resolved] Reply | Reply with Attachment Alert Moderator ResponsesPosted by: Bugwee on: 4/24/2012 [Member] Starter | ...
hi I set pandarallel.initialize(shm_size_mb=10000) and after apply parallel_apply to my column i get the net error Maximum size exceeded (2GB) why i get this message when i set more than 2gb?
from datetime import timedelta import pandas as pd def e(y: pd.DataFrame): d = (pd.Series(y.index[1:]) - pd.Series(y.index[:-1])).value_counts() d = d.index[d.index > timedelta(minutes=1)].min() return d def f(t): return t ...
In anycase I ended up going back to 0.12.0 because I kept getting caught up on this. At first it looks like an error with IPython but it also complains in a regular python script if I try to print the dataframe. Here is the traceback. ...
(context=context): File "/.../lib/python3.8/site-packages/astroid/util.py", line 160, in limit_inference yield from islice(iterator, size) File "/.../lib/python3.8/site-packages/astroid/context.py", line 113, in cache_generator for result in generator: File "/.../lib/python3.8/...