id stringlengths 7 11 | source stringclasses 1
value | category stringclasses 11
values | title stringlengths 15 214 | text stringlengths 70 30.5k | url stringlengths 57 160 | tags stringlengths 3 113 | created_at int64 1.22B 1.79B |
|---|---|---|---|---|---|---|---|
se_33483885 | stackoverflow | DATA_SCIENCE | How to unstack a Pandas dataframe with two sets of variables | How to unstack a Pandas dataframe with two sets of variables
I have a table that looks like this. Read from a CSV file, so no levels, no fancy indices, etc.
ID date1 amount1 date2 amount2
x 15/1/2015 100 15/1/2016 80
The actual file I have goes up to date5 and amount 5. How can I convert ... | https://stackoverflow.com/questions/33483885/how-to-unstack-a-pandas-dataframe-with-two-sets-of-variables | python, pandas | 1,446,486,934 |
se_73324491 | stackoverflow | DATA_SCIENCE | How to resolve "ValueError: cannot reindex on an axis with duplicate labels" error while processing time series data in pandas? | How to resolve "ValueError: cannot reindex on an axis with duplicate labels" error while processing time series data in pandas?
cube timestamp temp
timestamp
2022-08-01 00:15:05.135 A1 2022-08-01 00:15:05.135 NaN
2022-08-01 00:15:37.255 A1 2022-08-01 00:15:37.25... | https://stackoverflow.com/questions/73324491/how-to-resolve-valueerror-cannot-reindex-on-an-axis-with-duplicate-labels-err | python, pandas, time-series, valueerror | 1,660,237,517 |
se_19322506 | stackoverflow | DATA_SCIENCE | Pandas DataFrames with NaNs equality comparison | Pandas DataFrames with NaNs equality comparison
In the context of unit testing some functions, I'm trying to establish the equality of 2 DataFrames using python pandas:
ipdb> expect
1 2
2012-01-01 00:00:00+00:00 NaN 3
2013-05-14 12:00:00+00:00 3 NaN
ipdb> df
identifier ... | https://stackoverflow.com/questions/19322506/pandas-dataframes-with-nans-equality-comparison | python, pandas, equality, nan | 1,381,507,387 |
se_22649693 | stackoverflow | DATA_SCIENCE | Drop rows with all zeros in pandas data frame | Drop rows with all zeros in pandas data frame
I can use pandas dropna() functionality to remove rows with some or all columns set as NA's. Is there an equivalent function for dropping rows with all columns having value 0?
P kt b tt mky depth
1 0 0 0 0 0
2 0 0 0 0 0
3 0 0 0 0 0
4 0... | https://stackoverflow.com/questions/22649693/drop-rows-with-all-zeros-in-pandas-data-frame | python, pandas, dataframe | 1,395,796,810 |
se_59569963 | stackoverflow | DATA_SCIENCE | Pandas monthly rolling window | Pandas monthly rolling window
I am looking to do a 'monthly' rolling window on daily data grouped by a category. The code below does not work as is, it leads to the following error:
ValueError: <DateOffset: months=1> is a non-fixed frequency
I know that I could use '30D' offset, however this would shift the date ov... | https://stackoverflow.com/questions/59569963/pandas-monthly-rolling-window | python, pandas, dataframe, group-by, rolling-computation | 1,577,998,915 |
se_79857809 | stackoverflow | DATA_SCIENCE | Python packages installation - pandas & nympy | Python packages installation - pandas & nympy
I have read close to all posts about this topic now but I can get it working, so sorry if you find this similar to other questions, but I can't just solve it based on existing posts.
I find it very hard to install Python with its packages, and remember struggling on my... | https://stackoverflow.com/questions/79857809/python-packages-installation-pandas-nympy | python, pandas, macos, numpy, pycharm | 1,767,128,978 |
se_62103547 | stackoverflow | DATA_SCIENCE | How to convert timedelta to hours | How to convert timedelta to hours
I have a timedelta Dataframe
JC time
1 3days 21:02:05
2 1days 23:50:07
3 6days 19:28:36
but i want
1 93:02:05
2 47:50:07
3 163:28:36
How can I convert it? | https://stackoverflow.com/questions/62103547/how-to-convert-timedelta-to-hours | python, pandas, dataframe, timedelta | 1,590,847,425 |
se_79857225 | stackoverflow | DATA_SCIENCE | Pandas segfaults when attempting to read a multi-line cell | Pandas segfaults when attempting to read a multi-line cell
I have a set of TSV files that are filled by serializing pandas dataframes built on the responses I get from querying a large database using GraphQL. In the response I get, I have a field that hosts lists, even if in the majority of cases they host a single it... | https://stackoverflow.com/questions/79857225/pandas-segfaults-when-attempting-to-read-a-multi-line-cell | python, pandas, segmentation-fault, read-csv | 1,767,063,908 |
se_43056263 | stackoverflow | DATA_SCIENCE | How to read csv without header in pandas | How to read csv without header in pandas
I use
Adj = pd.read_csv('xxxxxx.csv', usecols=["Adj Close"])
to read my csv file and result is looks like:
Adj Close
0 0.007427
1 0.002013
2 0.008874
my csv file look like:
Date Open High Low Close Volume Adj Close
x x x ... | https://stackoverflow.com/questions/43056263/how-to-read-csv-without-header-in-pandas | python, pandas, dataframe, csv | 1,490,647,838 |
se_31147477 | stackoverflow | DATA_SCIENCE | Renaming columns when querying with SQLAlchemy into Pandas DataFrame | Renaming columns when querying with SQLAlchemy into Pandas DataFrame
Is there a way to retain the SqlAlchemy attribute names when you query the data into a pandas dataframe?
Here's a simple mapping of my database. For the school table, I've renamed 'SchoolDistrict', the DB name, to a shorter 'district'. I'm several... | https://stackoverflow.com/questions/31147477/renaming-columns-when-querying-with-sqlalchemy-into-pandas-dataframe | python, pandas, sqlalchemy | 1,435,694,616 |
se_79653054 | stackoverflow | DATA_SCIENCE | Pandas multi-column multi-assignment merge / update | Pandas multi-column multi-assignment merge / update
I want to update the base pandas DataFrame with data from the update DataFrame. This applies to multiple rows of the base DataFrame (ie the merge features are not unique so can't be used as an index) and I cannot use the index matching techniques of pd.join() or pd.m... | https://stackoverflow.com/questions/79653054/pandas-multi-column-multi-assignment-merge-update | python, pandas, dataframe, join | 1,749,049,902 |
se_59906252 | stackoverflow | DATA_SCIENCE | How do I split data out from one column of a pandas dataframe into multiple columns of a new dataframe | How do I split data out from one column of a pandas dataframe into multiple columns of a new dataframe
I would like to split data from this pandas dataframe (let's call it df1):
YEAR CODE DIFF
2013 XXXX 5.50
2013 YYYY 8.50
2013 ZZZZ 6.50
2014 XXXX 4.50
2014 YYYY 2.50
2014 ZZZZ 3.50
Such ... | https://stackoverflow.com/questions/59906252/how-do-i-split-data-out-from-one-column-of-a-pandas-dataframe-into-multiple-colu | python, python-3.x, pandas | 1,579,925,513 |
se_79852467 | stackoverflow | DATA_SCIENCE | faster methods to remove substrings stored in one column from strings stored in another column | faster methods to remove substrings stored in one column from strings stored in another column
hist_df_2["time"] = hist_df_2.apply(lambda row : hist_df_2['timestamp'].replace(str(hist_df_2['date']), ''), axis=1)
I tried this to remove the date part from the timestamp. However, for some reason it took 2 minutes to exe... | https://stackoverflow.com/questions/79852467/faster-methods-to-remove-substrings-stored-in-one-column-from-strings-stored-in | python, pandas, string, dataframe | 1,766,350,905 |
se_66047311 | stackoverflow | DATA_SCIENCE | Slow numpy and pandas imports on Google Cloud Run | Slow numpy and pandas imports on Google Cloud Run
I'm developping an API and deploying it on Google Cloud Run.
There is a prestart python script that import pandas and numpy. When I time the imports numpy take about 2 seconds and pandas about 4 seconds on Cloud Run as opposed to less than 0.5 second on my local machin... | https://stackoverflow.com/questions/66047311/slow-numpy-and-pandas-imports-on-google-cloud-run | python, pandas, docker, google-cloud-platform, alpine-linux | 1,612,447,704 |
se_79678365 | stackoverflow | DATA_SCIENCE | Polars is less memory efficient than Pandas | Polars is less memory efficient than Pandas
I want to generate a preview of spreadsheet files that users upload, in a memory-efficient manner. I'm testing using pytest-memray:
import pytest
import pandas as pd
import polars as pl
@pytest.fixture
def path() -> str:
return "files/rows.csv"
@pytest.fixture
def pa... | https://stackoverflow.com/questions/79678365/polars-is-less-memory-efficient-than-pandas | python, pandas, csv, xlsx, python-polars | 1,750,813,026 |
se_77689378 | stackoverflow | DATA_SCIENCE | how to calculate mean value of each column within range of quantile? | how to calculate mean value of each column within range of quantile?
I'd like to calculate mean value of each column but only consider values are within range of quantile, like 20%-80% only.
Here is why I have done, but not complete
df=pd.DataFrame({"A":[1,1,20,2,2,3,50,7,8,15,20,35,50,70],"B":[10,100,20,20,200,30,50,... | https://stackoverflow.com/questions/77689378/how-to-calculate-mean-value-of-each-column-within-range-of-quantile | python, pandas, dataframe | 1,703,049,975 |
se_79752604 | stackoverflow | DATA_SCIENCE | Pandas continous time periods | Pandas continous time periods
Given a table:
id
cost
from
to
43
4
2025-09-01 01:00:00
2025-09-01 01:30:00
42
4
2025-09-01 01:30:00
2025-09-01 02:00:00
41
4.8
2025-09-01 02:00:00
2025-09-01 02:30:00
40
4.05
2025-09-01 02:30:00
2025-09-01 03:00:00
39
4
2025-09-01 03:00:00
2025-09-01 03:30:00
37
5.16
202... | https://stackoverflow.com/questions/79752604/pandas-continous-time-periods | python, pandas, dataframe | 1,756,734,282 |
se_24195432 | stackoverflow | DATA_SCIENCE | Fixed effect in Pandas or Statsmodels | Fixed effect in Pandas or Statsmodels
Is there an existing function to estimate fixed effect (one-way or two-way) from Pandas or Statsmodels.
There used to be a function in Statsmodels but it seems discontinued. And in Pandas, there is something called plm, but I can't import it or run it using pd.plm(). | https://stackoverflow.com/questions/24195432/fixed-effect-in-pandas-or-statsmodels | python, pandas, regression, statsmodels | 1,402,615,418 |
se_79088735 | stackoverflow | DATA_SCIENCE | I would like to know how to avoid unnecessary duplication when comparing two data in Pandas merge | I would like to know how to avoid unnecessary duplication when comparing two data in Pandas merge
import pandas
df1 = pandas.DataFrame(
{
'code': ['001', '001'],
'name': ['test1', 'test1'],
'date': ['2024-01-01', '2024-01-01'],
'value1': [1, 2],
'value2': [1, 2],
'su... | https://stackoverflow.com/questions/79088735/i-would-like-to-know-how-to-avoid-unnecessary-duplication-when-comparing-two-dat | python, pandas, dataframe, merge | 1,728,975,372 |
se_79848158 | stackoverflow | DATA_SCIENCE | How to query columns that are lists or dicts? | How to query columns that are lists or dicts?
How can I query columns that are lists or dicts? Here is some basic JSON-like data.
[
{
"id": 1,
"name": "John Doe",
"age": 30,
"email": "john.doe@example.com",
"isStudent": false,
"hobbies": ["reading", "gaming", "hiking"],
"a... | https://stackoverflow.com/questions/79848158/how-to-query-columns-that-are-lists-or-dicts | python, pandas, dataframe | 1,765,855,262 |
se_69911645 | stackoverflow | DATA_SCIENCE | Match Data in Excel using python | Match Data in Excel using python
I am making a betting software that scrapes the fixtures from a website, puts them into an Excel file and then compares it with another Excel file that I have already manually created to find the winner (the source) The source file would look like this and The scraped output would look... | https://stackoverflow.com/questions/69911645/match-data-in-excel-using-python | python, excel, pandas, dataframe | 1,636,540,112 |
se_79852974 | stackoverflow | DATA_SCIENCE | Nuitka & PyQt6 specifying imports to reducing exe size (currently ~1gb) | Nuitka & PyQt6 specifying imports to reducing exe size (currently ~1gb)
I'm working on a project to develop a simple app, based on a Python script for data analysis, using PyQt6 to format the app, and using Nuitka to create an exe. (Yes, I've tried using PyInstaller. My company's antivirus keeps blocking it.)
The ... | https://stackoverflow.com/questions/79852974/nuitka-pyqt6-specifying-imports-to-reducing-exe-size-currently-1gb | python, pandas, scipy, pyqt6, nuitka | 1,766,414,258 |
se_79845055 | stackoverflow | DATA_SCIENCE | pd.Timestamp has attribute .isoformat, but the series accessor .dt does not | pd.Timestamp has attribute .isoformat, but the series accessor .dt does not
I am trying to convert a column of pd.Timestamp objects into a columns of type str where the dates are encoded in ISO format.
The class pd.Timestamp has the handy classmethod .isoformat() that does exactly what I want, though when applied to a... | https://stackoverflow.com/questions/79845055/pd-timestamp-has-attribute-isoformat-but-the-series-accessor-dt-does-not | python, pandas, timestamp, iso8601 | 1,765,556,626 |
se_79837366 | stackoverflow | DATA_SCIENCE | get the DB insert statement to preserve column casing by quoting the column names | get the DB insert statement to preserve column casing by quoting the column names
I'm trying to read a CSV file and write to an Oracle database table.
CSV file:
"id_field","last_updated_date"
"123456",2021-08-07 16:26:45.299
DDL creating the Oracle schema and table:
CREATE USER "my_schema" IDENTIFIED BY "Password123"... | https://stackoverflow.com/questions/79837366/get-the-db-insert-statement-to-preserve-column-casing-by-quoting-the-column-name | python, pandas, oracle-database, sqlalchemy | 1,764,799,913 |
se_76402530 | stackoverflow | DATA_SCIENCE | TypeError: concat() takes 1 positional argument but 2 were given | TypeError: concat() takes 1 positional argument but 2 were given
I want to concatenate the pandas dataframes in a column-wise manner and reset the index.
import pandas as pd
import numpy as np
com_mut = kirc_mut.loc[common_samples]
com_mut = com_mut.sort_index()
com_mut = com_mut.T
com_mut = com_mut.dropna()
com_mut ... | https://stackoverflow.com/questions/76402530/typeerror-concat-takes-1-positional-argument-but-2-were-given | python, pandas | 1,685,915,186 |
se_79757853 | stackoverflow | DATA_SCIENCE | Manipulating a large dataframe most efficiently | Manipulating a large dataframe most efficiently
Imagine I have this dataframe called temp:
temp = pd.DataFrame(index = [x for x in range(0, 10)], columns = list('abcd'))
for row in temp.index:
temp.loc[row] = default_rng().choice(10, size=4, replace=False)
temp.loc[1, 'b'] = np.nan
temp.loc[3, 'd'] = np.nan
... | https://stackoverflow.com/questions/79757853/manipulating-a-large-dataframe-most-efficiently | python, pandas, dataframe, numpy, pytorch | 1,757,202,088 |
se_75526866 | stackoverflow | DATA_SCIENCE | GeoPandas spatial join - no matching rows in the resultant dataset | GeoPandas spatial join - no matching rows in the resultant dataset
I have two GeoPandas DataFrames that I am attempting to join. I set the crs for both and then use sjoin and sjoin_nearest, however, I am not seeing any results. The columns are NaNs.
import pandas as pd
import geopandas as gpd
df1 = pd.DataFrame({
... | https://stackoverflow.com/questions/75526866/geopandas-spatial-join-no-matching-rows-in-the-resultant-dataset | python, pandas, geospatial, geopandas | 1,677,021,801 |
se_56302411 | stackoverflow | DATA_SCIENCE | how to check whether column of text contains specific string or not in pandas | how to check whether column of text contains specific string or not in pandas
I have following dataframe in pandas
job_desig salary
senior analyst 12
junior researcher 5
scientist 20
sr analyst 12
Now I want to generate one column which will have a flag set as bel... | https://stackoverflow.com/questions/56302411/how-to-check-whether-column-of-text-contains-specific-string-or-not-in-pandas | python, pandas | 1,558,766,391 |
se_54924866 | stackoverflow | DATA_SCIENCE | How does distribution works in dask? | How does distribution works in dask?
I have a dataframe:
import numpy as np
import pandas as pd
import dask.dataframe as dd
a = {'b':['cat','bat','cat','cat','bat','No Data','bat','No Data'],
'c':['str1','str2','str3', 'str4','str5','str6','str7', 'str8']
}
df11 = pd.DataFrame(a,index=['x1','x2','x3','x4','x5... | https://stackoverflow.com/questions/54924866/how-does-distribution-works-in-dask | python, pandas, numpy, dask, dask-distributed | 1,551,353,947 |
se_79747317 | stackoverflow | DATA_SCIENCE | How to sort pandas groups by (multiple/all) values of the groups? | How to sort pandas groups by (multiple/all) values of the groups?
I am trying to do a somewhat complicated group and sort operation in pandas. I want to sort the groups by their values in ascending order, using successive values for tiebreaks as needed.
I have read the similar question Pandas dataframe: How to sort gr... | https://stackoverflow.com/questions/79747317/how-to-sort-pandas-groups-by-multiple-all-values-of-the-groups | python, pandas, dataframe, sorting, group-by | 1,756,241,679 |
se_49799731 | stackoverflow | DATA_SCIENCE | How to get the first group in a groupby of multiple columns? | How to get the first group in a groupby of multiple columns?
I've been trying to figure out how I can return just the first group, after I apply groupby.
My code looks like this:
gb = df.groupby(['col1', 'col2', 'col3', 'col4'])['col5'].sum()
What I want is for that first first group to output. I've been trying ... | https://stackoverflow.com/questions/49799731/how-to-get-the-first-group-in-a-groupby-of-multiple-columns | python, pandas, dataframe, group-by | 1,523,544,816 |
se_63581625 | stackoverflow | DATA_SCIENCE | How to get the base file name from a column of paths | How to get the base file name from a column of paths
I have a DataFrame with the column of file paths.
I want to change it to only the file name.
My DataFrame looks like:
df = pd.DataFrame({
'Sr No': [18, 19, 20],
'Email': ['Test@test.com', 'Test@test.com', 'Test@test.com'],
'filename': [r'C:/Users\Test.cs... | https://stackoverflow.com/questions/63581625/how-to-get-the-base-file-name-from-a-column-of-paths | python, pandas, path, filenames | 1,598,367,361 |
se_19611729 | stackoverflow | DATA_SCIENCE | Getting Google Spreadsheet CSV into A Pandas Dataframe | Getting Google Spreadsheet CSV into A Pandas Dataframe
I uploaded a file to Google spreadsheets (to make a publically accessible example IPython Notebook, with data) I was using the file in it's native form could be read into a Pandas Dataframe. So now I use the following code to read the spreadsheet, works fine but j... | https://stackoverflow.com/questions/19611729/getting-google-spreadsheet-csv-into-a-pandas-dataframe | python, pandas, google-sheets, google-drive-api, google-apps | 1,382,820,411 |
se_48835158 | stackoverflow | DATA_SCIENCE | Add column to dataframe from .apply | Add column to dataframe from .apply
I have a small issue manipulating a dataframe to create a new variable function of others.
I am able to calculate it, but not to aggregate it back to the original dataframe.
Here I have my test dataframe and my new_column
test = pd.DataFrame({'name': ["john", "jack", "albert"],
... | https://stackoverflow.com/questions/48835158/add-column-to-dataframe-from-apply | python, pandas | 1,518,816,724 |
se_79844080 | stackoverflow | DATA_SCIENCE | How to duplicate columns with a prefix/suffix when flattening a DataFrameGroupBy | How to duplicate columns with a prefix/suffix when flattening a DataFrameGroupBy
I've been working on a project to learn Python and play around with machine learning that uses data from the NHL's public API. I've been able to teach myself via documentation and Google searches so far, but I've gotten stumped on my cur... | https://stackoverflow.com/questions/79844080/how-to-duplicate-columns-with-a-prefix-suffix-when-flattening-a-dataframegroupby | python, pandas, dataframe, group-by, merge | 1,765,465,354 |
se_79846641 | stackoverflow | DATA_SCIENCE | How to print the value counts of a user-selected column in a pandas DataFrame? | How to print the value counts of a user-selected column in a pandas DataFrame?
Iβm trying to write a Python script that allows the user to input the name of a column and then prints the value counts of that column from a pandas DataFrame. Here's what I currently have:
def count_unique_values(df, column_list):
for ... | https://stackoverflow.com/questions/79846641/how-to-print-the-value-counts-of-a-user-selected-column-in-a-pandas-dataframe | python, pandas, dataframe | 1,765,646,807 |
se_79844489 | stackoverflow | DATA_SCIENCE | Shifting string values to a previous column in a dataframe | Shifting string values to a previous column in a dataframe
Here is what i have in a dataframe where a column has names and some numbers together since this is a table extracted from a PDF
0 1 2 3 4
Mr. A
75 #of mammo cases 5 ... | https://stackoverflow.com/questions/79844489/shifting-string-values-to-a-previous-column-in-a-dataframe | python, pandas, dataframe | 1,765,502,557 |
se_79847020 | stackoverflow | DATA_SCIENCE | Access data frame from binary file | Access data frame from binary file
if I have saved a data frame using pickle in a binary file how can I access it?
def create_dataset(path):
"""
creates an binary file with dataset saved in it.
"""
df = pd.read_csv(path)
saved_path = "some_path"
with open(saved_path,'wb+') as f:
pkl... | https://stackoverflow.com/questions/79847020/access-data-frame-from-binary-file | python, pandas, dataframe | 1,765,715,854 |
se_14035148 | stackoverflow | DATA_SCIENCE | Import netCDF file to Pandas dataframe | Import netCDF file to Pandas dataframe
I am trying to read in a netCDF file, which I can do and then import that into a pandas dataframe. The netCDF file is 2D so I just want to 'dump it in'. I have tried the DataFrame method but it doesn't recognize the object. Presumably I need to convert the netCDF object to a 2D n... | https://stackoverflow.com/questions/14035148/import-netcdf-file-to-pandas-dataframe | python, dataframe, pandas, netcdf | 1,356,484,826 |
se_79830100 | stackoverflow | DATA_SCIENCE | Best way to clean awkward Excel column headers in python/pandas? | Best way to clean awkward Excel column headers in python/pandas?
I've got four years of daily school attendance data spread across 40+ Excel files (one for each month) and the sheets are set up in a truly annoying fashion, with each date in one merged cell in the first row while the total enrolment and daily absences ... | https://stackoverflow.com/questions/79830100/best-way-to-clean-awkward-excel-column-headers-in-python-pandas | python, excel, pandas, data-cleaning | 1,764,097,658 |
se_77290951 | stackoverflow | DATA_SCIENCE | Merge DataFrame float column with DataFrame pandas Interval column | Merge DataFrame float column with DataFrame pandas Interval column
I have 2 DataFrames that I want to merge.
import pandas as pd
df1=pd.DataFrame.from_dict({
'names':['klas','erik','stefan'],
'age':[6,17.5,28]
})
df2=pd.DataFrame.from_dict(
{'salary':[10,15,45,600],
'names':['klas','erik','stefan','stefan'],
'age... | https://stackoverflow.com/questions/77290951/merge-dataframe-float-column-with-dataframe-pandas-interval-column | pandas, dataframe, merge, intervals | 1,697,236,095 |
se_79846597 | stackoverflow | DATA_SCIENCE | When big data : requests.exceptions.ConnectionError: ('Connection aborted.', RemoteDisconnected('Remote end closed connection without response')) | When big data : requests.exceptions.ConnectionError: ('Connection aborted.', RemoteDisconnected('Remote end closed connection without response'))
The problem appears when i have a big amount of values in my pandas df. When i take 27 or 54 values(1 or 2 columns) it works normaly, but when i take more co... | https://stackoverflow.com/questions/79846597/when-big-data-requests-exceptions-connectionerror-connection-aborted-rem | python, pandas, google-sheets-api, gspread | 1,765,639,139 |
se_79844967 | stackoverflow | DATA_SCIENCE | Bizzare "kernel has died" error in pandas df.to_excel() caused by geopandas | Bizzare "kernel has died" error in pandas df.to_excel() caused by geopandas
When pandas.read_excel(), df.to_excel(), geopandas.read_file() and gdf.to_file() are called in a certain order in different environments, pd.read_excel() sometimes causes "Kernel has died" errors.
I already tried reading and writing ... | https://stackoverflow.com/questions/79844967/bizzare-kernel-has-died-error-in-pandas-df-to-excel-caused-by-geopandas | python, excel, pandas, dataframe, geopandas | 1,765,549,929 |
se_71433983 | stackoverflow | DATA_SCIENCE | Unable to allocate 11.6 GiB for an array with shape (1554122468,) and data type int64 | Unable to allocate 11.6 GiB for an array with shape (1554122468,) and data type int64
I am getting kind of weird error when I tried to Merged my Dataframe files which has 930333 rows & 21 columns in FullRaw1 as well 56078 rows & 2 columns in CustTag at the time of merge i'm getting error of
"Unable to allocate 11.6 Gi... | https://stackoverflow.com/questions/71433983/unable-to-allocate-11-6-gib-for-an-array-with-shape-1554122468-and-data-type | python, pandas, dataframe, numpy, merge | 1,646,976,199 |
se_79843343 | stackoverflow | DATA_SCIENCE | Python delta time series conversion to time data type | Python delta time series conversion to time data type
I have a column named ride_length that is the difference between two datetime columns. It has a data type of time delta series. How can I convert it into a time data type?
Current format 1 day 12:58:20
Required format HH:MM:SS | https://stackoverflow.com/questions/79843343/python-delta-time-series-conversion-to-time-data-type | python, pandas, datetime | 1,765,392,404 |
se_55319655 | stackoverflow | DATA_SCIENCE | Pandas: How to replace Zero values in a column with the mean of that column, For all columns with Zero Value | Pandas: How to replace Zero values in a column with the mean of that column, For all columns with Zero Value
I have a dataframe with multiple values as zero.
I want to replace the values that are zero with the mean values of that column Without repeating code.
I have columns called runtime, budget, and revenue that a... | https://stackoverflow.com/questions/55319655/pandas-how-to-replace-zero-values-in-a-column-with-the-mean-of-that-column-for | python, pandas | 1,553,387,292 |
se_36106490 | stackoverflow | DATA_SCIENCE | How to get unique values from multiple columns in a pandas groupby | How to get unique values from multiple columns in a pandas groupby
Starting from this dataframe df:
df = pd.DataFrame({'c':[1,1,1,2,2,2],'l1':['a','a','b','c','c','b'],'l2':['b','d','d','f','e','f']})
c l1 l2
0 1 a b
1 1 a d
2 1 b d
3 2 c f
4 2 c e
5 2 b f
I would like to perform a groupby ove... | https://stackoverflow.com/questions/36106490/how-to-get-unique-values-from-multiple-columns-in-a-pandas-groupby | python, pandas | 1,458,417,627 |
se_79758951 | stackoverflow | DATA_SCIENCE | Remove items within pandas DataFrameGroupBy groups | Remove items within pandas DataFrameGroupBy groups
I have a dataframe df made up of n columns which are groups and one, "data". This dataframe is then grouped on the n group columns.
df = pd.DataFrame(data={"g0": ["foo", "foo", "bar", "bar"],
"g1": ["baz", "baz", "baz", "qux"],
... | https://stackoverflow.com/questions/79758951/remove-items-within-pandas-dataframegroupby-groups | python, pandas, dataframe, group-by | 1,757,338,417 |
se_79842936 | stackoverflow | DATA_SCIENCE | Behavior of .groupby and .transform - length mismatch | Behavior of .groupby and .transform - length mismatch
I've been experimenting with pandas for my data analysis, however I encountered an issue when dealing with .groupby() and .transform() .
Let this be the dataframe:
df = pd.DataFrame({
'group': ['x','x','x','y','y','z'],
'b': [1, 2, 1, 3, 3, 4]
})
gr... | https://stackoverflow.com/questions/79842936/behavior-of-groupby-and-transform-length-mismatch | python, pandas, dataframe, group-by | 1,765,369,020 |
se_79763274 | stackoverflow | DATA_SCIENCE | How to set a cell value based on the time range in DatetimeIndex in Pandas | How to set a cell value based on the time range in DatetimeIndex in Pandas
I am trying to create a new column in a pandas dataframe, where the values are based on ranges of the time (hours and minute) of the DatetimeIndex.
Here is my dataframe:
DatetimeIndex col_1
2020-07-10 10:00:00+00:00 A
2020-07-10... | https://stackoverflow.com/questions/79763274/how-to-set-a-cell-value-based-on-the-time-range-in-datetimeindex-in-pandas | python, pandas, datetimeindex | 1,757,703,703 |
se_33355811 | stackoverflow | DATA_SCIENCE | matplotlib conditional background color in python | matplotlib conditional background color in python
How can I change the background color of a line chart based on a variable that is not in the chart?
For example if I have the following dataframe:
import numpy as np
import pandas as pd
dates = pd.date_range('20000101', periods=800)
df = pd.DataFrame(index=dates)
df... | https://stackoverflow.com/questions/33355811/matplotlib-conditional-background-color-in-python | python, pandas, matplotlib | 1,445,894,291 |
se_45985358 | stackoverflow | DATA_SCIENCE | How to wrap text for an entire column using Pandas? | How to wrap text for an entire column using Pandas?
I want to use Pandas, to wrap an entire column. I have already set the width for the columns now I just need to wrap the entire column as they are all in 1 line.
I do not need to edit the width of the columns, I want to wrap the text in the cells.
I can do this in Ex... | https://stackoverflow.com/questions/45985358/how-to-wrap-text-for-an-entire-column-using-pandas | python, pandas, excel | 1,504,193,956 |
se_79040490 | stackoverflow | DATA_SCIENCE | Conditions in functions in pandas | Conditions in functions in pandas
I am new to Pandas and trying to figure out how to create/use functions, perform simple if-else statements. I wrote the following function average_shares(), but it doesn't work as I expect (because it should be written for rows, not columns, but I don't get it/ don't know how to fix t... | https://stackoverflow.com/questions/79040490/conditions-in-functions-in-pandas | python, pandas, numpy, control-flow | 1,727,718,226 |
se_79843205 | stackoverflow | DATA_SCIENCE | How to find corrupted date entry when date column type is (object) | How to find corrupted date entry when date column type is (object)
I am trying to convert a column of time stamps that are currently of type object to proper datetime. When using pd.to_datetime() on the column I got this error
OutOfBoundsDatetime: Out of bounds nanosecond timestamp: 2821-11-10, at position 1818
I ju... | https://stackoverflow.com/questions/79843205/how-to-find-corrupted-date-entry-when-date-column-type-is-object | python, pandas, dataframe, datetime | 1,765,384,359 |
se_62458837 | stackoverflow | DATA_SCIENCE | Groupby transform to list in pandas does not work | Groupby transform to list in pandas does not work
Best described with an example
import pandas as pd
df = pd.DataFrame({
'a' : ['A','B','C','A','B','C','A','B','C'],
'b': [1,2,3,4,5,6,7,8,9]}
)
And i want to create a column that contains in a list the elements of column b by group of column a
resulting in ... | https://stackoverflow.com/questions/62458837/groupby-transform-to-list-in-pandas-does-not-work | python, pandas, dataframe, group-by | 1,592,512,079 |
se_61119289 | stackoverflow | DATA_SCIENCE | How to reindex a specific column in Pandas? | How to reindex a specific column in Pandas?
gd = df.groupby(['subID'])['Accuracy'].std()
print(gd)
subID
4 0.810423
5 0.841364
6 0.881007
8 0.763175
9 0.760102
10 0.905283
12 0.928358
14 0.779291
15 0.912377
1018 0.926683
It displays like this and I assume it... | https://stackoverflow.com/questions/61119289/how-to-reindex-a-specific-column-in-pandas | python, pandas, group-by, series, reindex | 1,586,428,834 |
se_79842390 | stackoverflow | DATA_SCIENCE | Conditionnal IF use not working with PD.NOTNA | Conditionnal IF use not working with PD.NOTNA
Amateur programmer here, trying to make my working life bette.
I am building a billing program, using selenium webdriver, to facilitate people entering their information into the more complex web-based "official" billing system. The user imports a .csv file containing the ... | https://stackoverflow.com/questions/79842390/conditionnal-if-use-not-working-with-pd-notna | python, pandas, dataframe | 1,765,316,959 |
se_79237626 | stackoverflow | DATA_SCIENCE | Read CSV - There should be a unique row for each daily entry combining health metrics and supplement usage | Read CSV - There should be a unique row for each daily entry combining health metrics and supplement usage
Can you help me with the interpretation of this sentence ?
Does this mean you should group by date rows with different supplement usage?
Or should I have 2 rows, one for magnesium and one for placebo?
If I hav... | https://stackoverflow.com/questions/79237626/read-csv-there-should-be-a-unique-row-for-each-daily-entry-combining-health-me | python, pandas, database, read-csv | 1,732,894,552 |
se_79320257 | stackoverflow | DATA_SCIENCE | customize header pandas to html | customize header pandas to html
I created a web application to search content in CSV files.for now i only able to put all content into 1 column with comma as delimiter ,
I want to display the data as shown in the image.
My python code
selected_columns = [202, 9, 10, 135, 13, 127, 126, 26, 28,128,129,31,33]
df = df.ilo... | https://stackoverflow.com/questions/79320257/customize-header-pandas-to-html | python, pandas, read-csv | 1,735,657,814 |
se_79419035 | stackoverflow | DATA_SCIENCE | Pandas text file import: automate selection of 1 table when many exist within each file | Pandas text file import: automate selection of 1 table when many exist within each file
Using Pandas 2.2.1 within Python 3.12, I'm importing data from text files that have a varying number of rows of metadata and multiple tables that precede the actual data to be imported. The number of rows that need to be skipped is... | https://stackoverflow.com/questions/79419035/pandas-text-file-import-automate-selection-of-1-table-when-many-exist-within-ea | python, pandas, read-csv | 1,738,867,682 |
se_41221079 | stackoverflow | DATA_SCIENCE | Rename MultiIndex columns in Pandas | Rename MultiIndex columns in Pandas
df = pd.DataFrame([[1,2,3], [10,20,30], [100,200,300]])
df.columns = pd.MultiIndex.from_tuples((("a", "b"), ("a", "c"), ("d", "f")))
df
returns
a d
b c f
0 1 2 3
1 10 20 30
2 100 200 300
and
df.columns.levels[1]
returns
Index([u'b',... | https://stackoverflow.com/questions/41221079/rename-multiindex-columns-in-pandas | python, pandas, dataframe | 1,482,145,012 |
se_79842077 | stackoverflow | DATA_SCIENCE | Pandas 'sep' Command Not Working for Text File | Pandas 'sep' Command Not Working for Text File
I have the following (shortened) list of data (State Vector for an arbitrary satellite):
0.0000000000000000e+00 6.0513311190355308e+06 -2.3889553726207524e-10 -3.9014601994371545e+06 4.0317846206431714e+03 3.8291459195655465e-13 6.2534698530736323e+03
6.000... | https://stackoverflow.com/questions/79842077/pandas-sep-command-not-working-for-text-file | python, pandas, dataframe, read-csv | 1,765,291,812 |
se_69298394 | stackoverflow | DATA_SCIENCE | I have a Dataframe with very long text content and I wish to save it as a table (in .PNG) but text is getting cropped out | I have a Dataframe with very long text content and I wish to save it as a table (in .PNG) but text is getting cropped out
I used the following code in order to save a dataframe as a picture
import dataframe_image as dfi
dfi.export(df,"df.png")
where df is the dataframe but ended up getting cropped text. It retains on... | https://stackoverflow.com/questions/69298394/i-have-a-dataframe-with-very-long-text-content-and-i-wish-to-save-it-as-a-table | python, pandas, dataframe | 1,632,393,380 |
se_54953967 | stackoverflow | DATA_SCIENCE | Your session crashed after using all available RAM in Google Collab | Your session crashed after using all available RAM in Google Collab
I have 6 big data tsv files which I am reading into dataframes within Google Collab. However, the files are too big and Google Colab cannot handle it.
#Crew data
downloaded = drive.CreateFile({'id':'16'})
downloaded.GetContentFile('title.crew.tsv') ... | https://stackoverflow.com/questions/54953967/your-session-crashed-after-using-all-available-ram-in-google-collab | python, pandas, dataframe, google-colaboratory | 1,551,485,516 |
se_74383395 | stackoverflow | DATA_SCIENCE | Property 'sheets' of 'OpenpyxlWriter' object has no setter using pandas and openpyxl | Property 'sheets' of 'OpenpyxlWriter' object has no setter using pandas and openpyxl
This code used to get a xlsx file and write over it, but after updating from pandas 1.1.5 to 1.5.1 I got zipfile.badzipfile file is not a zip file
Then I read here that after pandas 1.2.0 the pd.ExcelWriter(report_path... | https://stackoverflow.com/questions/74383395/property-sheets-of-openpyxlwriter-object-has-no-setter-using-pandas-and-open | python, pandas, openpyxl, setter | 1,668,045,937 |
se_79765445 | stackoverflow | DATA_SCIENCE | Get rows with unique value in a specific column in pandas | Get rows with unique value in a specific column in pandas
Following is my data frame.
id name class
--------------------------
0 Nick a
1 Jane b
2 Jacon a
3 Jack b
4 Cooze a
--------------------------
5 Nick b
6 Jane ... | https://stackoverflow.com/questions/79765445/get-rows-with-unique-value-in-a-specific-column-in-pandas | python, pandas | 1,757,957,695 |
se_74277254 | stackoverflow | DATA_SCIENCE | How to merge multiple CSV files based on specific column IDs | How to merge multiple CSV files based on specific column IDs
import pandas as pd
videos_list = {
'Video ID': ['aaa', 'bbb', 'ccc'],
'Title': ['Video Title AAA', 'Video Title BBB', 'Video Title CCC'],
'Views': ['100', '30', '60']}
transcripts_list = {
'Title': ['Video Title AAA', 'Vide... | https://stackoverflow.com/questions/74277254/how-to-merge-multiple-csv-files-based-on-specific-column-ids | python, pandas, dataframe, csv, merge | 1,667,311,915 |
se_76684141 | stackoverflow | DATA_SCIENCE | Why am I getting an error when using 'squeeze' keyword in 'read_csv'? | Why am I getting an error when using 'squeeze' keyword in 'read_csv'?
alcohol = pd.read_csv('https://andybek.com/pandas-drinks', usecols=['country','wine_servings'], index_col='country', squeeze=True)
When using the keyword squeeze to convert a one columned dataframe to series, I'm getting an error Ty... | https://stackoverflow.com/questions/76684141/why-am-i-getting-an-error-when-using-squeeze-keyword-in-read-csv | python, pandas, dataframe, csv | 1,689,297,421 |
se_79840254 | stackoverflow | DATA_SCIENCE | How can I handle missing values in a large pandas DataFrame without running out of memory? | How can I handle missing values in a large pandas DataFrame without running out of memory?
Iβm working with a large pandas DataFrame (~5 million rows, ~40 columns).
When I try operations like:
df = df.fillna(0)
# or
df = df.dropna()
my RAM usage spikes and sometimes my Jupyter notebook crashes.
I understand that pand... | https://stackoverflow.com/questions/79840254/how-can-i-handle-missing-values-in-a-large-pandas-dataframe-without-running-out | python, pandas, dataframe | 1,765,114,039 |
se_27534402 | stackoverflow | DATA_SCIENCE | Solving linearised least squares using statsmodels | Solving linearised least squares using statsmodels
I'm trying to translate a simple linearised least squares problem to statsmodels, in order to learn how to use it for iterative least squares:
The (contrived) data comprise measurements of the time it takes for a ball to drop a given distance.
distance time
10 ... | https://stackoverflow.com/questions/27534402/solving-linearised-least-squares-using-statsmodels | python, pandas, least-squares, statsmodels | 1,418,848,564 |
se_79839281 | stackoverflow | DATA_SCIENCE | Multiindexed Pandas Series to Yes/No table | Multiindexed Pandas Series to Yes/No table
I have a MultiIndex table as follows
Index0 Index1 Variable
A 0 "a"
A 1 "x"
A 2 "t"
B 0 "x"
B 1 "a"
C 0 "a"
C 1 "t"
And I want the following output
Index "a" "x" "t"
A 1 1 1
... | https://stackoverflow.com/questions/79839281/multiindexed-pandas-series-to-yes-no-table | python, pandas, dataframe, reshape | 1,764,967,058 |
se_45352909 | stackoverflow | DATA_SCIENCE | Pandas: IndexingError: Unalignable boolean Series provided as indexer | Pandas: IndexingError: Unalignable boolean Series provided as indexer
I'm trying to run what I think is simple code to eliminate any columns with all NaNs, but can't get this to work (axis = 1 works just fine when eliminating rows):
import pandas as pd
import numpy as np
df = pd.DataFrame({'a':[1,2,np.nan,np.nan], '... | https://stackoverflow.com/questions/45352909/pandas-indexingerror-unalignable-boolean-series-provided-as-indexer | python, pandas, dataframe | 1,501,163,713 |
se_40353079 | stackoverflow | DATA_SCIENCE | How to check dtype for all columns in a Pandas dataframe? | How to check dtype for all columns in a Pandas dataframe?
It seems that dtype only works for Series, right? Is there a function to display data types of all columns at once? | https://stackoverflow.com/questions/40353079/how-to-check-dtype-for-all-columns-in-a-pandas-dataframe | python, pandas, dataframe | 1,477,965,018 |
se_79822801 | stackoverflow | DATA_SCIENCE | Efficiently get first indices of consecutive identical digits in big pandas DataFrames | Efficiently get first indices of consecutive identical digits in big pandas DataFrames
I have a DataFrame with a column Digit of digits at base 10. For example
import numpy as np
import pandas as pd
df = pd.DataFrame({
"Digit": [
1, 3, 5, 7, 0, 0, 0,
4, 8, 9, 7, 7, 7, 7,
9, 3, 3, 1, 6, 8,... | https://stackoverflow.com/questions/79822801/efficiently-get-first-indices-of-consecutive-identical-digits-in-big-pandas-data | python, pandas, dataframe | 1,763,415,111 |
se_58834968 | stackoverflow | DATA_SCIENCE | Erase columns where duplicated rows exist, in groups. Pandas | Erase columns where duplicated rows exist, in groups. Pandas
I need to show columns which have only duplicated rows inside, in Name groups
I cannot remove/drop columns for one groupo because for other this specific column could be usefull.
So when in specific column will be duplicates i need to make this column empty ... | https://stackoverflow.com/questions/58834968/erase-columns-where-duplicated-rows-exist-in-groups-pandas | python, pandas | 1,573,640,705 |
se_79837737 | stackoverflow | DATA_SCIENCE | How to merge pandas dataframes with MultiIndexes on the columns | How to merge pandas dataframes with MultiIndexes on the columns
I am trying to merge two pandas dataframes together that have a MultiIndex on the columns. This works as expected when there are no duplicate columns, however when there are duplicate columns, it simply marks the top level of the index on the right hand d... | https://stackoverflow.com/questions/79837737/how-to-merge-pandas-dataframes-with-multiindexes-on-the-columns | python, pandas, dataframe, multi-index | 1,764,839,607 |
se_79837276 | stackoverflow | DATA_SCIENCE | Utilizing a loop or automated approach to join all possible elements in one dataframes together based on defined criteria | Utilizing a loop or automated approach to join all possible elements in one dataframes together based on defined criteria
Summary: I want to be able to recreate my SQL code via Python such that I dont have to manually type out each join for situations when the combinations get too large to handle
I have one table
impo... | https://stackoverflow.com/questions/79837276/utilizing-a-loop-or-automated-approach-to-join-all-possible-elements-in-one-data | python, pandas, dataframe, function, pyspark | 1,764,792,038 |
se_79837512 | stackoverflow | DATA_SCIENCE | Forecasting : FB Prophet function doesn't start from last datapoint in python | Forecasting : FB Prophet function doesn't start from last datapoint in python
I've noticed that Facebook's Prophet function does a good job with forecasting. However, for my data, it never starts at the last value of y-predict. As you can see in the image, the last value of Total_Issues is 168, but the function pr... | https://stackoverflow.com/questions/79837512/forecasting-fb-prophet-function-doesnt-start-from-last-datapoint-in-python | python, pandas, time-series, forecasting, facebook-prophet | 1,764,823,521 |
se_79810856 | stackoverflow | DATA_SCIENCE | Value count accuracy | Value count accuracy
I was trying to calculate the accuracy of my roberta label and pre existing dataset label
enter image description here
enter image description here
i was confused on how to operate pandas's value_counts(), i dont know how to do operations on it before, the error says it needs identical series, but... | https://stackoverflow.com/questions/79810856/value-count-accuracy | python, pandas, roberta-language-model, best-practices | 1,762,404,463 |
se_38359919 | stackoverflow | DATA_SCIENCE | pandas collapse Series values into one value | pandas collapse Series values into one value
How does one collapse a Series into one value? I tried pd.concat().
dict = {"Cities": ["Chicago", "Hong Kong", "London"], "People": ["John", "Mike", "Sue"]}
df = pd.Dataframe.from_dict(dict)
Cities People
0 Chicago John
1 Hong Kong Mike
2 Lon... | https://stackoverflow.com/questions/38359919/pandas-collapse-series-values-into-one-value | python, pandas, concatenation, series | 1,468,437,239 |
se_79836341 | stackoverflow | DATA_SCIENCE | GreatExpectations; ExpectColumnValuesToBeIncreasing; '>=' not supported between instances of 'Timedelta' and 'int' | GreatExpectations; ExpectColumnValuesToBeIncreasing; '>=' not supported between instances of 'Timedelta' and 'int'
I try to load many different csv files and data check them with GreatExpecatations. It works for ExpectColumnValuesToNotBeNull, ExpectColumnValuesToBeUnique and ExpectColumnValu... | https://stackoverflow.com/questions/79836341/greatexpectations-expectcolumnvaluestobeincreasing-not-supported-between | python, pandas, typeerror, great-expectations | 1,764,711,483 |
se_79810618 | stackoverflow | DATA_SCIENCE | Filter a pandas df: per group, keep only non-null rows if we have them, else keep a single null row | Filter a pandas df: per group, keep only non-null rows if we have them, else keep a single null row
Hopefully the title is reasonably intuitive, edits welcome. Say I have this dataframe:
df = pd.DataFrame({'x': ['A', 'B', 'B', 'C', 'C', 'C', 'D', 'D'],
'y': [None, None, 1, 2, 3, 4, None, None]})
... | https://stackoverflow.com/questions/79810618/filter-a-pandas-df-per-group-keep-only-non-null-rows-if-we-have-them-else-kee | python, pandas, dataframe, filter, group-by | 1,762,377,620 |
se_55471750 | stackoverflow | DATA_SCIENCE | How do i remove outliers using multiple columns pandas? | How do i remove outliers using multiple columns pandas?
Out of my entire dataframe i have two columns price and quantity. These both contain outliers. How can i remove the outliers in both these columns such that the dataframe returned excludes outliers from both these columns? I can apply it to one but not sure how i... | https://stackoverflow.com/questions/55471750/how-do-i-remove-outliers-using-multiple-columns-pandas | python, pandas, dataframe, outliers | 1,554,198,630 |
se_79835498 | stackoverflow | DATA_SCIENCE | How do I sort a Pandas DataFrame using a column name stored in a variable? | How do I sort a Pandas DataFrame using a column name stored in a variable?
I am working with a Pandas DataFrame containing student data (GRE scores, TOEFL scores, etc.). I need to sort this DataFrame based on a specific column, but the column name is provided by the user as input (it is not hard-coded).
I know how to ... | https://stackoverflow.com/questions/79835498/how-do-i-sort-a-pandas-dataframe-using-a-column-name-stored-in-a-variable | python, pandas, dataframe, sorting | 1,764,651,898 |
se_79826932 | stackoverflow | DATA_SCIENCE | How to Create a Pandas Dataframe from JSON Nested Objects | How to Create a Pandas Dataframe from JSON Nested Objects
I'm trying to create a Pandas DataFrame from a JSON file that looks like this:
{
"GameID": "1,218,463,841",
"Date - Start": "1761097369",
"Date - End": "1761098306",
"TagSetID": 79,
"Netplay": 1,
"StadiumID": 5,
"Away Player": "margoose",
"Home ... | https://stackoverflow.com/questions/79826932/how-to-create-a-pandas-dataframe-from-json-nested-objects | python, json, pandas, json-normalize | 1,763,758,044 |
se_79835136 | stackoverflow | DATA_SCIENCE | Convert this date/time format into pandas datetime | Convert this date/time format into pandas datetime
I downloaded some data from a data repository to do some analysis, and it is in a format that I have never seen and do not know how to work with.
import pandas as pd
raw={
'Fill':['text','','','text','','','text','',''],
'Time':['25-Jan-01','00:00','12:00','25... | https://stackoverflow.com/questions/79835136/convert-this-date-time-format-into-pandas-datetime | python, pandas, dataframe | 1,764,610,619 |
se_46754398 | stackoverflow | DATA_SCIENCE | Pandas Merge returns NaN | Pandas Merge returns NaN
I have issues with the merging of two large Dataframes since the merge returns NaN values though there are fitting values. The two dfs are shaped like:
df1
Motor
2232
1524
2230
2230
2224
1516
1724
2224
1524
1624
1724
2224
2224
1524
1524
1516
1524
2224
1624
1724
1724
2224
2224
df2
Motor ... | https://stackoverflow.com/questions/46754398/pandas-merge-returns-nan | python, pandas, dataframe, merge | 1,508,065,984 |
se_33268053 | stackoverflow | DATA_SCIENCE | Indexing a pandas dataframe with datetime.date index leads to KeyError | Indexing a pandas dataframe with datetime.date index leads to KeyError
I retrieve some data from my MySQL database. This data has the date (not datetime) in one column and some other random data in the other columns. Let's say dtf is my dataframe. There is no index yet so I set one
dtf.set_index('date', inplace=True)
... | https://stackoverflow.com/questions/33268053/indexing-a-pandas-dataframe-with-datetime-date-index-leads-to-keyerror | python, mysql, pandas, dataframe, date | 1,445,457,182 |
se_76499573 | stackoverflow | DATA_SCIENCE | Assign a list in a pandas dataframe cell: ValueError: Must have equal len keys and value when setting with an iterable | Assign a list in a pandas dataframe cell: ValueError: Must have equal len keys and value when setting with an iterable
I was trying to
df.at[100, 'subjects']
The result is
[]
which indicates the index is unique.
But when I tried to replace the empty list to a new one:
df.at[100, 'subjects'] = [1,2,3]
the error occu... | https://stackoverflow.com/questions/76499573/assign-a-list-in-a-pandas-dataframe-cell-valueerror-must-have-equal-len-keys-a | python, pandas, dataframe | 1,687,075,518 |
se_79833941 | stackoverflow | DATA_SCIENCE | Put all row from a data in a list | Put all row from a data in a list
I am having a problem to put an entire row from data in a list
import pandas as pd
import numpy as np
import csv
df= pd.read_csv ("data.csv")
my_list = [] # list
for n in range(1, len(df)): #entire data
if df.loc[n].isin([1]).any() : # if a value 1 is found in any r... | https://stackoverflow.com/questions/79833941/put-all-row-from-a-data-in-a-list | python, pandas, dataframe, for-loop | 1,764,511,546 |
se_79833029 | stackoverflow | DATA_SCIENCE | How to modify mulitple columns applying if else to multiple pandas dataframe columns | How to modify mulitple columns applying if else to multiple pandas dataframe columns
I have a dataFrame with columns Age, Salary and others, if I used:
df['Age'] = df['Age'].apply(lambda x : x+100 if x>30 else 0)
Then I can modify the Age column with the if else condition. Also, if I used:
df[['Age', 'Salary']] = df[[... | https://stackoverflow.com/questions/79833029/how-to-modify-mulitple-columns-applying-if-else-to-multiple-pandas-dataframe-col | python, pandas, dataframe, lambda, apply | 1,764,386,365 |
se_79833386 | stackoverflow | DATA_SCIENCE | Suitable Pandas installation on 32-bit Python (3.10, 3.11) | Suitable Pandas installation on 32-bit Python (3.10, 3.11)
I am trying to use the Kiwoom OpenAPI (for making automated stock trading program), which requires a 32-bit Python environment. However, to successfully use Kiwoom Open API I need to set up pandas in any 32-bit Python version, but I can't find how to install p... | https://stackoverflow.com/questions/79833386/suitable-pandas-installation-on-32-bit-python-3-10-3-11 | python, pandas, windows, com, 32-bit | 1,764,434,726 |
se_41518920 | stackoverflow | DATA_SCIENCE | How to query if a list-type column contains something? | How to query if a list-type column contains something?
I have a dataframe, which contains info about movies. It has a column called genre, which contains a list of genres it belongs to. For example:
df['genre']
## returns
0 ['comedy', 'sci-fi']
1 ['action', 'romance', 'comedy']
2 ['documentary']
3 ... | https://stackoverflow.com/questions/41518920/how-to-query-if-a-list-type-column-contains-something | python, pandas, dataframe | 1,483,773,448 |
se_76437122 | stackoverflow | DATA_SCIENCE | Pandas.read_sql throw exception from sqlalchemy: AttributeError: 'Connection' object has no attribute 'exec_driver_sql' | Pandas.read_sql throw exception from sqlalchemy: AttributeError: 'Connection' object has no attribute 'exec_driver_sql'
#pd.version is '2.0.2'
#sqlalchemy.version is '1.3.7'
import pandas as pd
from sqlalchemy import create_engine
conn_str = 'connection_string'
engine = create_engine(conn_str)
Yeste... | https://stackoverflow.com/questions/76437122/pandas-read-sql-throw-exception-from-sqlalchemy-attributeerror-connection-ob | python, pandas, sqlalchemy | 1,686,283,206 |
se_58798989 | stackoverflow | DATA_SCIENCE | How to synchronize or merge dataframe with JSON data based on timestamp | How to synchronize or merge dataframe with JSON data based on timestamp
There are many examples out there on how to merge two pandas dataframe but my problem is that I have two kind of data. data1 is a csv data that I read it with pandas and turn it to dataframe and the other data2 is in JSON format.
Here is an exampl... | https://stackoverflow.com/questions/58798989/how-to-synchronize-or-merge-dataframe-with-json-data-based-on-timestamp | python, json, pandas, dataframe, merge | 1,573,465,649 |
se_79831600 | stackoverflow | DATA_SCIENCE | Use pandas merge_asof to achieve inexact left join | Use pandas merge_asof to achieve inexact left join
I have two pandas series:
right_series
Index
Value
1
0.1
2
0.2
3
0.3
6
0.6
7
0.7
left_series
Index
Value
1
0.1
5
0.5
10
1.0
I would like to join right_series on left_series by the indices, such that if an exact match of the index is not... | https://stackoverflow.com/questions/79831600/use-pandas-merge-asof-to-achieve-inexact-left-join | python, pandas, join, merge, left-join | 1,764,238,164 |
se_79829898 | stackoverflow | DATA_SCIENCE | How to split dataframe into multiple sub-dataframes based on column value | How to split dataframe into multiple sub-dataframes based on column value
I got a dataframe df1 which looks like this:
Column1
Column2
13
1
12
1
15
0
16
0
15
1
14
1
12
1
11
0
21
1
45
1
44
0
The 1s indicate that a measurement started, I don't know how many 1s will be in one measurement and... | https://stackoverflow.com/questions/79829898/how-to-split-dataframe-into-multiple-sub-dataframes-based-on-column-value | python, pandas, dataframe | 1,764,084,815 |
se_42513049 | stackoverflow | DATA_SCIENCE | Get all keys from GroupBy object in Pandas | Get all keys from GroupBy object in Pandas
I'm looking for a way to get a list of all the keys in a GroupBy object, but I can't seem to find one via the docs nor through Google.
There is definitely a way to access the groups through their keys, like so:
df_gb = df.groupby(['EmployeeNumber'])
df_gb.get_group(key)
... | https://stackoverflow.com/questions/42513049/get-all-keys-from-groupby-object-in-pandas | python, pandas | 1,488,296,658 |
se_65488111 | stackoverflow | DATA_SCIENCE | Using constant memory with pandas xlsxwriter | Using constant memory with pandas xlsxwriter
I'm trying to use the below code to write large pandas dataframes to excel worsheets. If I write it directly, the system is running out of RAM. Is this a viable option or are there any alternatives?
writer = pd.ExcelWriter('Python Output Analysis.xlsx', engine='xlsxwriter',... | https://stackoverflow.com/questions/65488111/using-constant-memory-with-pandas-xlsxwriter | python, excel, pandas, xlsxwriter | 1,609,222,767 |
se_79830815 | stackoverflow | DATA_SCIENCE | Using list to find variables from data in rows | Using list to find variables from data in rows
I am trying to find a combination where it will go through the data to find matched variables for any value from the list First_row is found, any value from the list Second_row and any value from the list Third_row is found.
import pandas as pd
import numpy as np
import c... | https://stackoverflow.com/questions/79830815/using-list-to-find-variables-from-data-in-rows | python, pandas, list, for-loop | 1,764,166,857 |
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