i have a date column in pandas, when i write to an excel , i am loosing the format in excel. In excel it is seen as General Format. If this a bug, pls fix it or revert back with an approach. Expected Behavior In
dates = ddf['date'].map_partitions(pandas.to_datetime, format='%Y%m%d') # <-- fails here The error is from metadata inference failing. You could either specify themetayou expected: dates = ddf['date'].map_partitions(pandas.to_datetime, format='%Y%m%d', meta=("date", "datetime64[ns...
For the output, specify the directory and format. Run the tool. Converting Between KML and GeoJSON Using Python: Using thegeopandaslibrary: import geopandas as gpd # For KML to GeoJSON gdf = gpd.read_file('input.kml') gdf.to_file('output.geojson', driver='GeoJSON') # For GeoJSON ...
I added some customization and also I have some nice discussion with my colleague Diya Mothafar. So my colleague mentioned to do the same using Pandas which also valid. My demo will not use Pandas, but again it also does the job. So the idea here is convert ...
Name: date, dtype: datetime64[ns] However, an error occurs while attempting to convertdf['purchase']into an integer. >>> df['purchase'].astype(int) ... pandas/lib.pyx in pandas.lib.astype_intsafe (pandas/lib.c:16667)() pandas/src/util.pxd in util.set_value_at (pandas/lib.c:6754...
Speed up date columns conversion (pandas) from string to datetime Question: In Python, I am currently handling a sizable .csv file where the date column is in string format. To address this, I have implemented a code snippet that enables me to convert these records into datetime. ...
I have confirmed this bug exists on themain branchof pandas. Reproducible Example fromlxmlimportetreeimportpandasaspdexample_date="2025-02-05 16:59:57"default_format="%Y-%m-%d %H:%M:%S"xml_node=etree.XML(f"<date>{example_date}</date>")example_date_from_xml=xml_node.xpath("/date/node...
Hi, I have a dask dataframe with a 'time' column that in string format. I'm trying to convert it to a pandas Timestamp type as follows: from pandas.tseries.tools import to_datetime my_ddf['time'].map_partitions(to_datetime, columns='time...
How to change the format of the final dictionary in Python? Converting Pandas DataFrame to a dictionary using groupby Question: I have this df : line stop 1 1_a 1 1_b 1 1_c 2 2_a 2 2_c My intention is to generate a dictionary with the following contents: ...
User Date A B C 0 01-06-2022 2.0 1.0 1.0 1 02-06-2022 1.0 0.0 0.0 2 03-06-2022 1.0 2.0 1.0 Pandas group by a column and convert other columns to key:value, output = df.groupby("id").apply(lambda x: x.to_json(orient="records")[1 ...