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_26483254 | stackoverflow | DATA_SCIENCE | Python pandas insert list into a cell | Python pandas insert list into a cell
I have a list 'abc' and a dataframe 'df':
abc = ['foo', 'bar']
df =
A B
0 12 NaN
1 23 NaN
I want to insert the list into cell 1B, so I want this result:
A B
0 12 NaN
1 23 ['foo', 'bar']
Ho can I do that?
1) If I use this:
df.ix[1,'B'] = abc
I get the fo... | https://stackoverflow.com/questions/26483254/python-pandas-insert-list-into-a-cell | python, list, pandas, insert, dataframe | 1,413,883,585 |
se_79767425 | stackoverflow | DATA_SCIENCE | Merging Pandas dataframes on column combinations | Merging Pandas dataframes on column combinations
Scenario: I am trying to merge 2 pandas dataframes. DF1 has the bulk data, and DF2 is a sort of mapping. Based on the combination of the values of 3 different columns, I want to put a column from DF2 into DF1.
Data sample (just a snippet of both dfs):
DF1:
+-------+----... | https://stackoverflow.com/questions/79767425/merging-pandas-dataframes-on-column-combinations | python, pandas, dataframe | 1,758,117,369 |
se_69326639 | stackoverflow | DATA_SCIENCE | SKLearn warning "valid feature names" in version 1.0 | SKLearn warning "valid feature names" in version 1.0
I'm getting the following warning after upgrading to version 1.0 of scikit-learn:
UserWarning: X does not have valid feature names, but IsolationForest was
fitted with feature name
I cannot find in the docs on what is a "valid feature name". How do I dea... | https://stackoverflow.com/questions/69326639/sklearn-warning-valid-feature-names-in-version-1-0 | python-3.x, pandas, scikit-learn | 1,632,576,799 |
se_66521503 | stackoverflow | DATA_SCIENCE | How to create an empty dataframe | How to create an empty dataframe
I saw this line of code from a book, what does that mean? After that, I print portfolio, it is just a underscore, but it is not empty DataFrame.
portfolio = portfolio = pd.DataFrame() | https://stackoverflow.com/questions/66521503/how-to-create-an-empty-dataframe | python, pandas | 1,615,151,758 |
se_79767341 | stackoverflow | DATA_SCIENCE | ModuleNotFoundError: No module named 'pandas._config' | ModuleNotFoundError: No module named 'pandas._config'
I am trying to run Python project with Pandas as a dependency, installed with Poetry.
name : pandas
version : 2.3.2 ... | https://stackoverflow.com/questions/79767341/modulenotfounderror-no-module-named-pandas-config | pandas | 1,758,113,295 |
se_14898574 | stackoverflow | DATA_SCIENCE | Resample intraday pandas DataFrame without add new days | Resample intraday pandas DataFrame without add new days
I want to downsample some intraday data without adding in new days
df.resample('30Min')
Will add weekends etc which is undesirable. Is there anyway around this? | https://stackoverflow.com/questions/14898574/resample-intraday-pandas-dataframe-without-add-new-days | python, pandas, time-series | 1,360,944,180 |
se_79766547 | stackoverflow | DATA_SCIENCE | Is there a function to filter a dataframe by a column value and produce a dictionary? | Is there a function to filter a dataframe by a column value and produce a dictionary?
In python pandas, I'm wondering if there is a builtin function that does the same as df_to_dict below. Speed is of the essence, as my dataframe can have thousands of rows. Basically return a dictionary with keys being the set of valu... | https://stackoverflow.com/questions/79766547/is-there-a-function-to-filter-a-dataframe-by-a-column-value-and-produce-a-dictio | python, pandas, dataframe | 1,758,045,903 |
se_60870620 | stackoverflow | DATA_SCIENCE | SQLAlchemy engine.connect() fails for Snowflake using keypair authentication | SQLAlchemy engine.connect() fails for Snowflake using keypair authentication
My goal is to be able to write a pandas dataframe to Snowflake using the to_sql() function. I am able to successfuly query from Snowflake using read_sql() with no problems. It appears that to_sql() requires a slightly different configuration ... | https://stackoverflow.com/questions/60870620/sqlalchemy-engine-connect-fails-for-snowflake-using-keypair-authentication | python, pandas, sqlalchemy, snowflake-cloud-data-platform | 1,585,236,351 |
se_75945585 | stackoverflow | DATA_SCIENCE | Merge the duplicate rows on multiple column? | Merge the duplicate rows on multiple column?
Sample Input:
DID FIRST NAME MIDDLE NAME LAST NAME STREET CITY STATE ZIP DOB PIN TIN
CRA0012347129 John JR Nan Doe Nan Nan Nan 1124.0 02-07-2020 12345678998765432 268869162.0
CRA0012347152 John Nan ... | https://stackoverflow.com/questions/75945585/merge-the-duplicate-rows-on-multiple-column | python, pandas, machine-learning, data-science, data-manipulation | 1,680,751,627 |
se_72385900 | stackoverflow | DATA_SCIENCE | OptionError: "No such keys(s): 'io.excel.zip.reader'" | OptionError: "No such keys(s): 'io.excel.zip.reader'"
I am trying to merge multiple .xlsx.zip files into one but this error keeps on coming up.
Now, firstly I am using glob.glob for selecting the files (works perfectly)
stock_files = glob.glob('*/*.xlsx.zip', recursive=True)
stock_files
And then whe... | https://stackoverflow.com/questions/72385900/optionerror-no-such-keyss-io-excel-zip-reader | python, pandas | 1,653,530,402 |
se_45300428 | stackoverflow | DATA_SCIENCE | Sorting pivot table (multi index) | Sorting pivot table (multi index)
I'm trying to sort a pivot table's values in descending order after putting two "row labels" (Excel term) on the pivot.
sample data:
x = pd.DataFrame({'col1':['a','a','b','c','c', 'a','b','c', 'a','b','c'],
'col2':[ 1, 1, 1, 1, 1, 2, 2, 2, 3, 3, 3],
... | https://stackoverflow.com/questions/45300428/sorting-pivot-table-multi-index | python, pandas, numpy, sorting, pivot-table | 1,500,978,052 |
se_61888816 | stackoverflow | DATA_SCIENCE | How to plot a bar plot of 2 categorical columns using matplotlib or seaborn | How to plot a bar plot of 2 categorical columns using matplotlib or seaborn
This might be a simple task but I am new to plotting in python and is struggling to convert logic into code. I have 2 columns like below. 0 mean not churned and 1 means churned. gender is an object column and churned is a category column
gend... | https://stackoverflow.com/questions/61888816/how-to-plot-a-bar-plot-of-2-categorical-columns-using-matplotlib-or-seaborn | python, pandas, matplotlib, plot, seaborn | 1,589,884,125 |
se_31295740 | stackoverflow | DATA_SCIENCE | How to replace None only with empty string using pandas? | How to replace None only with empty string using pandas?
the code below generates a df:
import pandas as pd
from datetime import datetime as dt
import numpy as np
dates = [dt(2014, 1, 2, 2), dt(2014, 1, 2, 3), dt(2014, 1, 2, 4), None]
strings1 = ['A', 'B',None, 'C']
strings2 = [None, 'B','C', 'C']
strings3 = ['A', '... | https://stackoverflow.com/questions/31295740/how-to-replace-none-only-with-empty-string-using-pandas | python, pandas | 1,436,365,876 |
se_62519635 | stackoverflow | DATA_SCIENCE | How to change Pandas dataframe column name from 'NaN' to something else | How to change Pandas dataframe column name from 'NaN' to something else
I have tried to string the column names and then change them -- no success, it left it NaN:
data.rename(columns=str).rename(columns={'NaN':'Tip Analiza','NaN':'Limite' }, inplace=True)
I tried to use the in function to replace NaN-- no su... | https://stackoverflow.com/questions/62519635/how-to-change-pandas-dataframe-column-name-from-nan-to-something-else | python, pandas, rename | 1,592,845,102 |
se_64048169 | stackoverflow | DATA_SCIENCE | How do I find the mode of a column of categorical data? | How do I find the mode of a column of categorical data?
I want to find the most repetitive value (which is the mode) of a column of categorical data and fill the blank cells with this value.
"Embarked" column has only three values: S,Q,C
When I try to calculate mean and median it gives an error already, because its no... | https://stackoverflow.com/questions/64048169/how-do-i-find-the-mode-of-a-column-of-categorical-data | python, pandas, dataframe | 1,600,956,209 |
se_23330654 | stackoverflow | DATA_SCIENCE | Update a dataframe in pandas while iterating row by row | Update a dataframe in pandas while iterating row by row
I have a pandas data frame that looks like this (its a pretty big one)
date exer exp ifor mat
1092 2014-03-17 American M 528.205 2014-04-19
1093 2014-03-17 American M 528.205 2014-04-19
1094 2014-03-17 American M ... | https://stackoverflow.com/questions/23330654/update-a-dataframe-in-pandas-while-iterating-row-by-row | python, pandas, updates, dataframe | 1,398,644,389 |
se_79701584 | stackoverflow | DATA_SCIENCE | How can I remove the brackets and parentheses at the end of words? | How can I remove the brackets and parentheses at the end of words?
My task is to parse the protein names by removing the brackets and parentheses in the row.
In short, I want to retain the words in front of any parentheses and brackets.
Note that I need to keep symbols in the main words like H(+)/Cl(-) exchange transp... | https://stackoverflow.com/questions/79701584/how-can-i-remove-the-brackets-and-parentheses-at-the-end-of-words | python, pandas, regex | 1,752,556,455 |
se_79707491 | stackoverflow | DATA_SCIENCE | Can't make candle chart due to some error with mpf.plot | Can't make candle chart due to some error with mpf.plot
import pandas as pd
import yfinance as yf
import mplfinance as mpf
df = yf.download('AMZN', start='2020-01-01', end='2025-07-31')
print(df)
mpf.plot(df['2020-01-01':'2020-06-01'], type='candle', volume=True)
This is the code I have written.
This is the outp... | https://stackoverflow.com/questions/79707491/cant-make-candle-chart-due-to-some-error-with-mpf-plot | python, pandas, dataframe, candlestick-chart, mplfinance | 1,752,950,271 |
se_58101126 | stackoverflow | DATA_SCIENCE | Using Scikit-Learn OneHotEncoder with a Pandas DataFrame | Using Scikit-Learn OneHotEncoder with a Pandas DataFrame
I'm trying to replace a column within a Pandas DataFrame containing strings into a one-hot encoded equivalent using Scikit-Learn's OneHotEncoder. My code below doesn't work:
from sklearn.preprocessing import OneHotEncoder
# data is a Pandas DataFrame
jobs_enco... | https://stackoverflow.com/questions/58101126/using-scikit-learn-onehotencoder-with-a-pandas-dataframe | python, pandas, machine-learning, scikit-learn, one-hot-encoding | 1,569,422,836 |
se_9621362 | stackoverflow | DATA_SCIENCE | How do I compute a weighted moving average using pandas? | How do I compute a weighted moving average using pandas?
Using pandas, I can compute
a simple moving average (SMA) using pandas.stats.moments.rolling_mean
exponential moving average (EMA) using pandas.stats.moments.ewma
But how do I compute a weighted moving average (WMA), as described on Wikipedia_, using pandas?
I... | https://stackoverflow.com/questions/9621362/how-do-i-compute-a-weighted-moving-average-using-pandas | python, pandas | 1,331,224,950 |
se_79761269 | stackoverflow | DATA_SCIENCE | Best way to assign a scalar to a new DataFrame column with a specific dtype | Best way to assign a scalar to a new DataFrame column with a specific dtype
I am writing a routine to load a large dataset into a Pandas DataFrame from a bespoke text format.
As part of this process, I need to add new columns to a DataFrame. Sometimes I need to broadcast a scalar value into the whole column, and I use... | https://stackoverflow.com/questions/79761269/best-way-to-assign-a-scalar-to-a-new-dataframe-column-with-a-specific-dtype | python, pandas, dataframe, numpy, series | 1,757,536,085 |
se_79762124 | stackoverflow | DATA_SCIENCE | How do I find top Values based on different columns? | How do I find top Values based on different columns?
i am using a dataset of video game sales and i am trying to make a pie chart of the top 10 publishers based on global_sales
right now i have:
data['Publisher'].value_counts().head(10).plot.pie(autopct='%1.1f%%', startangle=90)
but im pretty sure that its only addin... | https://stackoverflow.com/questions/79762124/how-do-i-find-top-values-based-on-different-columns | python, pandas, dataframe, matplotlib | 1,757,604,861 |
se_61009092 | stackoverflow | DATA_SCIENCE | AttributeError: partially initialized module 'pandas' has no attribute 'DataFrame' | AttributeError: partially initialized module 'pandas' has no attribute 'DataFrame'
i want to run this code but i can't and received this error.
also i downloaded pandas package.
import pandas
data = {
"Day": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
"Visitors": [18, 26, 18, 18, 9, 9, 20, 30, 16, 24],
... | https://stackoverflow.com/questions/61009092/attributeerror-partially-initialized-module-pandas-has-no-attribute-datafram | python, pandas, attributeerror | 1,585,907,080 |
se_78475583 | stackoverflow | DATA_SCIENCE | `pandas.tseries.offsets` hard to predict result | `pandas.tseries.offsets` hard to predict result
I found it really hard to predict the results produced by pandas.tseries.offsets, especially when n==0. Below is an example with MonthEnd and MonthBegin.
import pandas as pd
from pandas.tseries.offsets import MonthEnd, MonthBegin
date_ = pd.to_datetime('20240601')
print... | https://stackoverflow.com/questions/78475583/pandas-tseries-offsets-hard-to-predict-result | python, pandas, pd.offsets | 1,715,657,619 |
se_79762507 | stackoverflow | DATA_SCIENCE | Plotly chloropleth of India not showing states properly (too small) | Plotly chloropleth of India not showing states properly (too small)
I am trying to create a choropleth of India that shows railway accident data. When I try to make run it a choropleth is created, but the states of India are too small and do not reflect their real life sizes.
Here is a picture of the incorrect choropl... | https://stackoverflow.com/questions/79762507/plotly-chloropleth-of-india-not-showing-states-properly-too-small | python, pandas, plotly, geojson, choropleth | 1,757,646,625 |
se_79433102 | stackoverflow | DATA_SCIENCE | get data from dataframe with pandas module | get data from dataframe with pandas module
import pandas
data = pandas.read_csv("databooks.csv")
print(data.titulo)
All ok , but:
print(data.autor)
KeyError: 'autor'
autor exists and is well written
I expected the autor column from data. This column is showed when:
print(data) | https://stackoverflow.com/questions/79433102/get-data-from-dataframe-with-pandas-module | python, pandas, csv, keyerror | 1,739,364,334 |
se_78291000 | stackoverflow | DATA_SCIENCE | pandas/pyarrow ArrowTypeError: Unable to merge: Field on handcrafted partitioned parquet | pandas/pyarrow ArrowTypeError: Unable to merge: Field on handcrafted partitioned parquet
I read the parquet file directly
pd.read_parquet(r'C:\Datasets\cn_data\dm\qmt\wqa_mfeatures\30m\year=2020\month=11\data.parquet')
No error will be reported.
But when I read the directory:
pd.read_parquet(r'C:\Datasets\cn_data\dm\... | https://stackoverflow.com/questions/78291000/pandas-pyarrow-arrowtypeerror-unable-to-merge-field-on-handcrafted-partitioned | python, pandas, pyarrow | 1,712,562,789 |
se_79761569 | stackoverflow | DATA_SCIENCE | How to retrieve pandas dataframe agent-generated file? | How to retrieve pandas dataframe agent-generated file?
I have a pandas dataframe agent deployed in an Azure FastAPI app service.
agent = create_pandas_dataframe_agent(
llm,
df,
verbose=True,
prefix=prefix,
agent_type=AgentType.OPENAI_FUNCTIONS,
... | https://stackoverflow.com/questions/79761569/how-to-retrieve-pandas-dataframe-agent-generated-file | pandas, dataframe, file, agent, generated | 1,757,574,309 |
se_76007024 | stackoverflow | DATA_SCIENCE | Why does my same unchanged webscraping code keep showing different things each time I run it? | Why does my same unchanged webscraping code keep showing different things each time I run it?
This is my code that web scrapes multiple tables with horse data from this website. "https://racing.hkjc.com/racing/information/English/raCing/RaceCard.aspx?RaceDate=2023/04/15&Racecourse=ST&RaceNo=1" What its supposed to do ... | https://stackoverflow.com/questions/76007024/why-does-my-same-unchanged-webscraping-code-keep-showing-different-things-each-t | python, pandas, web-scraping, beautifulsoup, playwright-python | 1,681,398,407 |
se_79761149 | stackoverflow | DATA_SCIENCE | How to find columns not matching in Pandas Merge? | How to find columns not matching in Pandas Merge?
I'm performing data validation in Python using the Pandas module. I have two datasets to compare source and target data for expected values. I've successfully merged two dataframes using pd.merge and need to identify the columns causing the merge to be left or right on... | https://stackoverflow.com/questions/79761149/how-to-find-columns-not-matching-in-pandas-merge | python, pandas, dataframe, merge | 1,757,527,028 |
se_66375262 | stackoverflow | DATA_SCIENCE | specify number of spaces between pandas DataFrame columns when printing | specify number of spaces between pandas DataFrame columns when printing
When you print a pandas DataFrame, which calls DataFrame.to_string, it normally inserts a minimum of 2 spaces between the columns. For example, this code
import pandas as pd
df = pd.DataFrame( {
"c1" : ("a", "bb", "ccc", "dddd", "eeeeee"),
... | https://stackoverflow.com/questions/66375262/specify-number-of-spaces-between-pandas-dataframe-columns-when-printing | python, pandas, dataframe, tostring, spaces | 1,614,281,528 |
se_79761270 | stackoverflow | DATA_SCIENCE | PVLib Soiling Models: Discrepancy between Kimber and HSU Models | PVLib Soiling Models: Discrepancy between Kimber and HSU Models
I am using PVLib modeling to estimate soiling for my project.
I am checking both HSU and Kimber models to compare and identify the best result.
The problem is, I would expect outputs to be somewhat similar, but there are huge discrepancies between the two... | https://stackoverflow.com/questions/79761270/pvlib-soiling-models-discrepancy-between-kimber-and-hsu-models | python, pandas, pvlib, solar | 1,757,536,168 |
se_71516740 | stackoverflow | DATA_SCIENCE | How to convert object data type into int64 in python? | How to convert object data type into int64 in python?
I have a dataset and it has one variable as object data type, i have to convert it to int64 type. | https://stackoverflow.com/questions/71516740/how-to-convert-object-data-type-into-int64-in-python | python, pandas, int64 | 1,647,538,573 |
se_53256091 | stackoverflow | DATA_SCIENCE | How can I fix "Error tokenizing data" on pandas csv reader? | How can I fix "Error tokenizing data" on pandas csv reader?
I'm trying to read a csv file with pandas.
This file actually has only one row but it causes an error whenever I try to read it.
Something wrong seems happening in line 8 but I could hardly find the 8th line since there's clearly only one row on it.... | https://stackoverflow.com/questions/53256091/how-can-i-fix-error-tokenizing-data-on-pandas-csv-reader | python, pandas, csv, tokenize | 1,541,997,946 |
se_61135890 | stackoverflow | DATA_SCIENCE | For each NAME, calculate the average SNOW for each month | For each NAME, calculate the average SNOW for each month
import pandas as pd
import numpy as np
# Show the specified columns and save it to a new file
col_list= ["STATION", "NAME", "DATE", "AWND", "SNOW"]
df = pd.read_csv('Data.csv', usecols=col_list)
df.to_csv('filteredData.csv')
df['year'] = pd.DatetimeIndex(df['D... | https://stackoverflow.com/questions/61135890/for-each-name-calculate-the-average-snow-for-each-month | python, pandas, csv | 1,586,504,233 |
se_79745115 | stackoverflow | DATA_SCIENCE | How do you remove already filtered category values from DataFrames from plots and pivot tables? | How do you remove already filtered category values from DataFrames from plots and pivot tables?
My dataframes show video game titles, platforms, year of release, revenue, etc.
I have filtered the original dataframe "df_samplegames", which has 29 different platforms (type category), into a new dataframe "df_finalgames"... | https://stackoverflow.com/questions/79745115/how-do-you-remove-already-filtered-category-values-from-dataframes-from-plots-an | python, pandas, dataframe, categories, isin | 1,756,062,626 |
se_79735244 | stackoverflow | DATA_SCIENCE | How to scrape a website that has <span class="ellipsis">…</span> in between number on a dynamic table with Selenium Python | How to scrape a website that has <span class="ellipsis">…</span> in between number on a dynamic table with Selenium Python
I am trying to scrape dividend data for the stock "Vale" on the site https://investidor10.com.br/acoes/vale3/. The dividend table has 8 buttons (1, 2, 3, ..., 8) and "Next" a... | https://stackoverflow.com/questions/79735244/how-to-scrape-a-website-that-has-span-class-ellipsis-span-in-between-numb | python, pandas, dataframe, selenium-webdriver, pagination | 1,755,165,892 |
se_79725440 | stackoverflow | DATA_SCIENCE | Convert (many) integer-valued rows into binary indicator columns using Pandas | Convert (many) integer-valued rows into binary indicator columns using Pandas
I am working on a task that seems to me a little like one-hot encoding, but notably different. What I want to do is take a row of integers from a Pandas DataFrame and produce a binary column with 1's at the index locations specified by the i... | https://stackoverflow.com/questions/79725440/convert-many-integer-valued-rows-into-binary-indicator-columns-using-pandas | python, pandas, dataframe | 1,754,346,717 |
se_73684178 | stackoverflow | DATA_SCIENCE | Converting pandas DataFrame to JSON array gives "only size-1 arrays can be converted to Python scalars" error | Converting pandas DataFrame to JSON array gives "only size-1 arrays can be converted to Python scalars" error
I'm trying to read a CSV file and convert its contents to a JSON array, but I'm getting the error: "only size-1 arrays can be converted to Python scalars"
The csv file contents are
4.4.4.4
5.5.... | https://stackoverflow.com/questions/73684178/converting-pandas-dataframe-to-json-array-gives-only-size-1-arrays-can-be-conve | python, pandas, dataframe | 1,662,952,950 |
se_79759475 | stackoverflow | DATA_SCIENCE | Extract values from each row corresponding to a column and add it in a single row | Extract values from each row corresponding to a column and add it in a single row
I have a dataframe with multiple rows that can be combined to a single row. I'm not sure how to do it.
Input DataFrame:
Emp#
Name
Week1
Week2
Week3
Week4
1
mary
45
0
0
0
1
mary
0
45
0
0
1
mary
0
0
63
0
1
mary
0
0
0
45
2
jo... | https://stackoverflow.com/questions/79759475/extract-values-from-each-row-corresponding-to-a-column-and-add-it-in-a-single-ro | python, pandas | 1,757,387,923 |
se_79732371 | stackoverflow | DATA_SCIENCE | Column level alignment in pandas DataFrame printing | Column level alignment in pandas DataFrame printing
When a pandas DataFrame is printed, the MultiIndex column levels are aligned with the 1st (left most) column instead of the last (right most) column:
import numpy as np
import pandas as pd
df = pd.DataFrame(
[np.arange(6), np.arange(6)+5],
columns=pd.MultiIn... | https://stackoverflow.com/questions/79732371/column-level-alignment-in-pandas-dataframe-printing | python, pandas, dataframe, printing | 1,754,936,790 |
se_79759016 | stackoverflow | DATA_SCIENCE | Change the decimal value of each value in each column to 0.5 while maintaining the same leading integer python pandas | Change the decimal value of each value in each column to 0.5 while maintaining the same leading integer python pandas
CONTEXT
I am NOT trying to round to the nearest 0.5. I know there are questions on here that address that. Rather, I am trying to change the decimal value of each value in each row to 0.5 while maintai... | https://stackoverflow.com/questions/79759016/change-the-decimal-value-of-each-value-in-each-column-to-0-5-while-maintaining-t | python, pandas, dataframe, apply, rounding | 1,757,341,255 |
se_78231969 | stackoverflow | DATA_SCIENCE | Applying group by then condition | Applying group by then condition
How can the value of 'same_month=yes' be updated for entries grouped by "code" when the "Date" is identical?
below are examples of the data frame
import pandas as pd
df = pd.DataFrame([[1,'2023-01-02 00:00:00','01','2023',''],
[2,'2023-01-02 00:00:00','01','2023',''... | https://stackoverflow.com/questions/78231969/applying-group-by-then-condition | python, pandas | 1,711,545,154 |
se_30039334 | stackoverflow | DATA_SCIENCE | Sum of products of pairs in a list | Sum of products of pairs in a list
This is the problem I have. Given a list
xList = [9, 13, 10, 5, 3]
I would like to calculate for sum of each element multiplied by subsequent elements
sum([9*13, 9*10, 9*5 , 9*3]) +
sum([13*10, 13*5, 13*3]) +
sum([10*5, 10*3]) +
sum ([5*3])
in this case the answer is 608.
... | https://stackoverflow.com/questions/30039334/sum-of-products-of-pairs-in-a-list | python, numpy, pandas, python-itertools | 1,430,771,145 |
se_79381686 | stackoverflow | DATA_SCIENCE | ImportError: Install adlfs to access Azure Datalake Gen2 and Azure Blob Storage even after adlsf is installed | ImportError: Install adlfs to access Azure Datalake Gen2 and Azure Blob Storage even after adlsf is installed
I have an azure function with code below:
storage_account_url = f"{self.datalake_settings.xx}/{parquet_folder_path}/{file_name}.parquet"
storage_options = {
"account_name": self.datalake_settings.xx,
"... | https://stackoverflow.com/questions/79381686/importerror-install-adlfs-to-access-azure-datalake-gen2-and-azure-blob-storage | python, pandas, dataframe, azure-functions, azure-data-lake | 1,737,646,722 |
se_69937019 | stackoverflow | DATA_SCIENCE | Pandas .to_csv() gives "No engine for filetype: 'csv'" | Pandas .to_csv() gives "No engine for filetype: 'csv'"
Basically, the title. The pd.Dataframe.to_csv() method works fine on my machine outside of the app code, but if I try to run it in a pyqt5 gui, I get the following error: No engine for filetype: 'csv'. Below is the function that causes the error.... | https://stackoverflow.com/questions/69937019/pandas-to-csv-gives-no-engine-for-filetype-csv | python, pandas | 1,636,681,565 |
se_23797491 | stackoverflow | DATA_SCIENCE | Parse_dates in Pandas | Parse_dates in Pandas
The following code can't parse my date column into dates from csv file.
data = pd.read_csv('c:/data.csv', parse_dates=True, keep_date_col=True)
or
data = pd.read_csv('c:/data.csv', parse_dates=[0])
data is like following
date value
30MAR1990 140000
30JUN1990 30000
30SEP1990 ... | https://stackoverflow.com/questions/23797491/parse-dates-in-pandas | python, datetime, pandas | 1,400,730,385 |
se_79758014 | stackoverflow | DATA_SCIENCE | Plot datetimeindex.time data in Mathplotlib | Plot datetimeindex.time data in Mathplotlib
I did find a couple of threads related to similar topics, but the use case is always slightly different, as the goal often is just to format the x-axis of a plot or similar. So I am opening this new thread and hope someone has a good idea.
The starting point for my issue is ... | https://stackoverflow.com/questions/79758014/plot-datetimeindex-time-data-in-mathplotlib | pandas, matplotlib | 1,757,233,681 |
se_47424345 | stackoverflow | DATA_SCIENCE | Pandas- Dividing a column by another column conditional on if values are greater than 0? | Pandas- Dividing a column by another column conditional on if values are greater than 0?
I have a pandas dataframe that contains dates, items, and 2 values. All I'm looking to do is output another column that is the product of column A / column B if column B is greater than 0, and 0 if column B is equal to 0.
dat... | https://stackoverflow.com/questions/47424345/pandas-dividing-a-column-by-another-column-conditional-on-if-values-are-greater | python, pandas, if-statement, dataframe | 1,511,306,377 |
se_71419405 | stackoverflow | DATA_SCIENCE | Reading and handling many small CSV-s to concatenate one large Dataframe | Reading and handling many small CSV-s to concatenate one large Dataframe
I have two folders each contains about 8,000 small csv files. One with an aggregated size of around 2GB and another with aggregated size of around 200GB.
These files are stored like this to better update them in a daily basis. However, when I con... | https://stackoverflow.com/questions/71419405/reading-and-handling-many-small-csv-s-to-concatenate-one-large-dataframe | pandas, database, multithreading, dataframe, parallel-processing | 1,646,891,501 |
se_58801176 | stackoverflow | DATA_SCIENCE | Display pandas dataframe with larger font in jupyter notebook | Display pandas dataframe with larger font in jupyter notebook
I have a small-shaped (5 rows, 3 columns) dataframe which I can display by calling df in jupyter cell. I would like to enlarge (font size) this output for presentation purpose. Is it possible? | https://stackoverflow.com/questions/58801176/display-pandas-dataframe-with-larger-font-in-jupyter-notebook | python, pandas, dataframe, jupyter, pandas-styles | 1,573,474,609 |
se_69101233 | stackoverflow | DATA_SCIENCE | Using DateFormatter resets starting date to 1970 | Using DateFormatter resets starting date to 1970
I have a dataframe where the index is the first date of each month and the size column is the frequency for that month, e.g.
Using .index on the dataframe confirms the type of the index is DatetimeIndex:
DatetimeIndex(['2006-12-01', ...],
dtype='datetime6... | https://stackoverflow.com/questions/69101233/using-dateformatter-resets-starting-date-to-1970 | python, pandas, dataframe, datetime, matplotlib | 1,631,096,327 |
se_60818048 | stackoverflow | DATA_SCIENCE | How to explode the column value without duplicating the other columns values in panda dataframe? | How to explode the column value without duplicating the other columns values in panda dataframe?
I have df like this:
id ColumnA ColumnB ColumnC
1 Audi_BMW_VW BMW_Audi VW
2 VW Audi Audi_BMW_VW
I want to explode the columns based ... | https://stackoverflow.com/questions/60818048/how-to-explode-the-column-value-without-duplicating-the-other-columns-values-in | python, pandas | 1,584,982,416 |
se_60981582 | stackoverflow | DATA_SCIENCE | Using conditions in pandas value_counts() | Using conditions in pandas value_counts()
When applying conditions based on value_counts() to an dataframe, a "boolean dataframe" is obtained, as in the example below:
The csv I am using for the example is this one.
import pandas as pd
sal = pd.read_csv("Salaries.csv")
sal[sal["Year"] == 2013]["JobTitle"].value_co... | https://stackoverflow.com/questions/60981582/using-conditions-in-pandas-value-counts | python, pandas | 1,585,781,701 |
se_79756594 | stackoverflow | DATA_SCIENCE | How do I capture missing nan values from Pandas 2.3.0 using Pydantic 2.11.7 | How do I capture missing nan values from Pandas 2.3.0 using Pydantic 2.11.7
Prerequisites:
Python 3.11.7
Pandas 2.3.0
Numpy 2.1.3
Pydantic 2.11.7
In the pandas documentation, it states that missing values for numeric data types are filled in with numpy.nan:
https://pandas.pydata.org/docs/user_guide/missing_data.html... | https://stackoverflow.com/questions/79756594/how-do-i-capture-missing-nan-values-from-pandas-2-3-0-using-pydantic-2-11-7 | python, pandas, numpy, python-typing | 1,757,063,273 |
se_61123068 | stackoverflow | DATA_SCIENCE | How to create a new column based on values from other columns in a Pandas DataFrame | How to create a new column based on values from other columns in a Pandas DataFrame
I'm new to programming and Pandas. Therefore, please do not judge strictly.
To this table, I need to add a new column of values got from other columns.
inp = [{'Date':2003, 'b1':5,'b2':0,'b3':4,'b4':3},{'Date':2003, 'b1':2,'b2':2,'b... | https://stackoverflow.com/questions/61123068/how-to-create-a-new-column-based-on-values-from-other-columns-in-a-pandas-datafr | python, python-3.x, pandas | 1,586,441,225 |
se_61090483 | stackoverflow | DATA_SCIENCE | Pandas - apply multiplication factor to column values | Pandas - apply multiplication factor to column values
I have I dataframe:
cases_df = pd.DataFrame(list(cases.items()),
columns=['day', 'cases'])
where case.items() is structured like so:
([('2020-04-04T00:00:00Z', 10360), ('2020-04-05T00:00:00Z', 11130), ('2020-04- 06T00:00:00Z', 12161)])
how ... | https://stackoverflow.com/questions/61090483/pandas-apply-multiplication-factor-to-column-values | python, pandas | 1,586,298,883 |
se_52728506 | stackoverflow | DATA_SCIENCE | Update a dataframe by dataframes with NaN values | Update a dataframe by dataframes with NaN values
I try to update a DataFrame
df1 = pd.DataFrame(data = {'A' : [1,2,3,4], 'B' : [5,6,7,8]})
by another DataFrame
df2 = pd.DataFrame(data = {'B' : [9, np.nan, 11, np.nan]}).
Now, my aim is to update df1 by df2 and overwrite all values (NaN values too) using
df1.upd... | https://stackoverflow.com/questions/52728506/update-a-dataframe-by-dataframes-with-nan-values | python, pandas, dataframe, updates | 1,539,115,332 |
se_78470913 | stackoverflow | DATA_SCIENCE | Generate new Column in Dataframe with Modulo of other Column | Generate new Column in Dataframe with Modulo of other Column
I would like to create a new column "Day2" which takes the second digit of column named "Days", so if we have Days equal to 35, we would take the number 5 to be in "Day2", I tried this but it's not working:
DF["Day2"] = DF["Days"].where(
DF["Days... | https://stackoverflow.com/questions/78470913/generate-new-column-in-dataframe-with-modulo-of-other-column | python, pandas, dataframe, modulo | 1,715,588,243 |
se_64435497 | stackoverflow | DATA_SCIENCE | How to properly insert pandas NaT datetime values to my postgresql table | How to properly insert pandas NaT datetime values to my postgresql table
I am tying to bulk insert a dataframe to my postgres dB. Some columns in my dataframe are date types with NaT as a null value. Which is not supported by PostgreSQL, I've tried to replace NaT (using pandas) with other NULL type identifies but that... | https://stackoverflow.com/questions/64435497/how-to-properly-insert-pandas-nat-datetime-values-to-my-postgresql-table | python, pandas, postgresql, sqlalchemy, psycopg2 | 1,603,144,031 |
se_79756094 | stackoverflow | DATA_SCIENCE | Illegal instruction when importing pandas along with wxpython (python 3, Windows) | Illegal instruction when importing pandas along with wxpython (python 3, Windows)
Trying to upgrade my python 2.7 scripts to the latest python 3.x for my PC running Windows 7-x64. To do so, I installed python 3.8.9.
I get a nasty error when I press ENTER after typing "import pandas" in a script that also import wxpyth... | https://stackoverflow.com/questions/79756094/illegal-instruction-when-importing-pandas-along-with-wxpython-python-3-windows | python-3.x, pandas, numpy, wxpython, windows-7-x64 | 1,757,010,425 |
se_54776916 | stackoverflow | DATA_SCIENCE | Inverse of Pandas json_normalize | Inverse of Pandas json_normalize
I just discovered the json_normalize function which works great in taking a JSON object and giving me a pandas Dataframe. Now I want the reverse operation which takes that same Dataframe and gives me a json (or json-like dictionary which I can easily turn to json) with the same structu... | https://stackoverflow.com/questions/54776916/inverse-of-pandas-json-normalize | json, python-3.x, pandas, normalize | 1,550,621,967 |
se_70142979 | stackoverflow | DATA_SCIENCE | fixed rate mortgage in Python | fixed rate mortgage in Python
I'm relatively new to coding. I have a task where I have to program an fixed rate mortgage calculator in python. I started by coding this:
import pandas as pd
import numpy_financial as npf
from datetime import date
interest = 0.025
years = 10
payments_year = 12
mortgage = 1500000
start_d... | https://stackoverflow.com/questions/70142979/fixed-rate-mortgage-in-python | python, pandas, numpy, datetime | 1,638,099,198 |
se_40923820 | stackoverflow | DATA_SCIENCE | Pandas Timedelta in months | Pandas Timedelta in months
How can I calculate the elapsed months using pandas? I have write the following, but this code is not elegant. Could you tell me a better way?
import pandas as pd
df = pd.DataFrame([pd.Timestamp('20161011'),
pd.Timestamp('20161101') ], columns=['date'])
df['today'] = pd.... | https://stackoverflow.com/questions/40923820/pandas-timedelta-in-months | python, pandas | 1,480,646,123 |
se_73325028 | stackoverflow | DATA_SCIENCE | How can I create a heatmap with an uneven mesh size from a pandas dataset? | How can I create a heatmap with an uneven mesh size from a pandas dataset?
I want to create a plot that looks something like this which maps values to a user-defined mesh size to represent a physical geometry.
I was looking for a way to create heat maps and saw that seaborn has a function that creates heat maps. The ... | https://stackoverflow.com/questions/73325028/how-can-i-create-a-heatmap-with-an-uneven-mesh-size-from-a-pandas-dataset | python, pandas, numpy, seaborn, heatmap | 1,660,240,796 |
se_79754631 | stackoverflow | DATA_SCIENCE | ModuleNotFoundError: No module named 'pandas' on Raspberry Pi even after installing from requirements.txt | ModuleNotFoundError: No module named 'pandas' on Raspberry Pi even after installing from requirements.txt
I’m running a Python project on a Raspberry Pi (Debian / Raspberry Pi OS, Python 3.9.2).
The project has its own virtual environment (.venv), and I launch it with a script (alsv4) that starts multiple serv... | https://stackoverflow.com/questions/79754631/modulenotfounderror-no-module-named-pandas-on-raspberry-pi-even-after-install | python, pandas, raspberry-pi4 | 1,756,905,002 |
se_63869177 | stackoverflow | DATA_SCIENCE | Fetch Bitcoin Data Information through Pandas DataReader | Fetch Bitcoin Data Information through Pandas DataReader
I am wanting to ask if Pandas DataReader may be used to extract Bitcoin information from blockchain.com ?
I am aware we may use it together with Alpha Vantage API Key to extract stocks through:
import pandas as pd
import pandas_datareader as dr
reader = dr.DataR... | https://stackoverflow.com/questions/63869177/fetch-bitcoin-data-information-through-pandas-datareader | python, pandas, bitcoin, alpha-vantage | 1,599,989,360 |
se_40914399 | stackoverflow | DATA_SCIENCE | Pasting data into a pandas dataframe from clipboard | Pasting data into a pandas dataframe from clipboard
This is the same question as this question, which is marked as a duplicate of this one.
The problem, and the reason I'm still asking, is that the solution provided (using pandas.read_clipboard()) currently doesn't work.
I use Python 3.5 and whenever I try to copy dat... | https://stackoverflow.com/questions/40914399/pasting-data-into-a-pandas-dataframe-from-clipboard | python, pandas | 1,480,605,899 |
se_35235010 | stackoverflow | DATA_SCIENCE | what is the optimal chunksize in pandas read_csv to maximize speed? | what is the optimal chunksize in pandas read_csv to maximize speed?
I am using a 20GB (compressed) .csv file and I load a couple of columns from it using pandas pd.read_csv() with a chunksize=10,000 parameter.
However, this parameter is completely arbitrary and I wonder whether a simple formula could give me better c... | https://stackoverflow.com/questions/35235010/what-is-the-optimal-chunksize-in-pandas-read-csv-to-maximize-speed | python, pandas, memory, io, chunks | 1,454,713,296 |
se_44287445 | stackoverflow | DATA_SCIENCE | pandas or python equivalent of tidyr complete | pandas or python equivalent of tidyr complete
I have data that looks like this:
library("tidyverse")
df <- tibble(user = c(1, 1, 2, 3, 3, 3), x = c("a", "b", "a", "a", "c", "d"), y = 1)
df
# user x y
# 1 1 a 1
# 2 1 b 1
# 3 2 a 1
# 4 3 a 1
# 5 3 c ... | https://stackoverflow.com/questions/44287445/pandas-or-python-equivalent-of-tidyr-complete | python, pandas | 1,496,240,789 |
se_75173423 | stackoverflow | DATA_SCIENCE | Convert excel file (.xlsx) to json | Convert excel file (.xlsx) to json
I have a xlsx file
Country name
Country code
IN
India
SL
Sri Lanka
I want to convert this to a json in the format
json = {
{"Name":"India",
"Code":"IN"},
{"Name":"Sri Lanka",
"Code":"SL"}
}
I tried load the excel file using the pan... | https://stackoverflow.com/questions/75173423/convert-excel-file-xlsx-to-json | python, json, pandas | 1,674,136,886 |
se_66941446 | stackoverflow | DATA_SCIENCE | Reading CSV dates with pandas returns datetime instead of Timestamp | Reading CSV dates with pandas returns datetime instead of Timestamp
Problem description:
I'm trying to read historical stock prices from CSV format into pandas Dataframe, but one funny thing I have noticed so far - when reading certain row numbers, the dates column type is changed from pandas.Timestamp into datetime -... | https://stackoverflow.com/questions/66941446/reading-csv-dates-with-pandas-returns-datetime-instead-of-timestamp | python, pandas, csv, date, timestamp | 1,617,540,434 |
se_78079837 | stackoverflow | DATA_SCIENCE | Check maximum date and keep that row only | Check maximum date and keep that row only
I have a df with several duplicated values in column B.
What I need is to look for the most recent date of column A for each value in column B and relove the lines that are not the most recent:
A B E
26/12/2023 apple 7,9
26/12/2022 apple 8... | https://stackoverflow.com/questions/78079837/check-maximum-date-and-keep-that-row-only | python, pandas, date | 1,709,194,841 |
se_50010257 | stackoverflow | DATA_SCIENCE | How to read only non-adjacent columns copied from Excel into a pandas DF via clipboard? | How to read only non-adjacent columns copied from Excel into a pandas DF via clipboard?
I love using pd.read_clipboard() to quickly import tabular data from Excel into a DataFrame in pandas.
However, if I have highlighted non-adjacent columns in Excel before I hit CTRL+C to copy them to the clipboard, what gets imp... | https://stackoverflow.com/questions/50010257/how-to-read-only-non-adjacent-columns-copied-from-excel-into-a-pandas-df-via-cli | python, excel, pandas | 1,524,601,657 |
se_63572036 | stackoverflow | DATA_SCIENCE | Write output in xlsb file format (Excel binary file format) using pandas and pyxlsb | Write output in xlsb file format (Excel binary file format) using pandas and pyxlsb
I've read a lot of stackoverflow and other threads where it's been mentioned how to read excel binary file.
Reference: Read XLSB File in Pandas Python
import pandas as pd
df = pd.read_excel('path_to_file.xlsb', engine='pyxlsb')
Howeve... | https://stackoverflow.com/questions/63572036/write-output-in-xlsb-file-format-excel-binary-file-format-using-pandas-and-pyx | python-3.x, pandas, xlsb, pyxlsb | 1,598,329,518 |
se_78388929 | stackoverflow | DATA_SCIENCE | Configure Sweetviz to analyze object-type column without forced type conversion? | Configure Sweetviz to analyze object-type column without forced type conversion?
Consider the following short dataframe example:
df = pd.DataFrame({'column1': [2, 4, 8, 0],
'column2': [2, 0, 0, 0],
'column3': ["test", 2, 1, 8]})
df.dtypes shows that the datatypes of the columns ... | https://stackoverflow.com/questions/78388929/configure-sweetviz-to-analyze-object-type-column-without-forced-type-conversion | python, pandas, dataframe, visualization | 1,714,117,183 |
se_60079001 | stackoverflow | DATA_SCIENCE | Writing to Excel Sheet using Pandas | Writing to Excel Sheet using Pandas
I am trying to update values in an excel sheet using Pandas but the changes overwrites the whole file instead of just a value in in a sheet.
sheet_1 = pd.read_excel(r"Documents\TestPage.xlsx", 0)
sheet_1.loc[0, 'Test1'] = 10
sheet_1.to_excel("Document... | https://stackoverflow.com/questions/60079001/writing-to-excel-sheet-using-pandas | python, excel, pandas | 1,580,916,210 |
se_78100258 | stackoverflow | DATA_SCIENCE | as_index=False groupBy doesn't work with count | as_index=False groupBy doesn't work with count
When I run groupby on a dataframe with as_index set to False, count seems to not work at all. For example,
import pandas as pd
word_list = ['a', 'b', 'c', 'a', 'c', 'c', 'b', 'a', 'c']
df = pd.DataFrame(word_list, columns=['word'])
as_counts = df.groupby('word', as_... | https://stackoverflow.com/questions/78100258/as-index-false-groupby-doesnt-work-with-count | python, pandas, dataframe, group-by | 1,709,545,148 |
se_79751371 | stackoverflow | DATA_SCIENCE | Sorting a column of max values from a multicolumn pandas data frame | Sorting a column of max values from a multicolumn pandas data frame
I have a multi-column pandas data frame of years and corresponding cumulative rainfall values from 1 to 183 (October to March). That means in each column the last value is the maximum column value, being the cumulative total from 1.
I then create a ne... | https://stackoverflow.com/questions/79751371/sorting-a-column-of-max-values-from-a-multicolumn-pandas-data-frame | python, pandas, dataframe | 1,756,581,369 |
se_65530214 | stackoverflow | DATA_SCIENCE | How to set fontsize for title in pandas.DataFrame.plot()? | How to set fontsize for title in pandas.DataFrame.plot()?
import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.rand(3,3), columns=['A','B','C'])
df['Name'] = ['Lily','Mary','Joan']
df.plot(x='Name', kind='barh', stacked=True, mark_right=True, figsize=(10,6),
title='Distribution of Tags across Pa... | https://stackoverflow.com/questions/65530214/how-to-set-fontsize-for-title-in-pandas-dataframe-plot | python, pandas, dataframe, plot, bar-chart | 1,609,509,107 |
se_79751873 | stackoverflow | DATA_SCIENCE | Combine separate plots into one plot in Python | Combine separate plots into one plot in Python
I have created the following pandas dataframe:
ds = {
'Date' : ['2025-08-22 16:00:00', '2025-08-22 16:01:00', '2025-08-22 16:02:00', '2025-08-22 16:03:00', '2025-08-22 16:04:00', '2025-08-22 16:05:00', '2025-08-22 16:06:00', '2025-08-22 16:07:00', '2025-08-2... | https://stackoverflow.com/questions/79751873/combine-separate-plots-into-one-plot-in-python | python, pandas, dataframe, matplotlib, combinedchart | 1,756,655,848 |
se_68507570 | stackoverflow | DATA_SCIENCE | Import "pandas" could not be resolved from sourcePylancereportMissingModuleSource | Import "pandas" could not be resolved from sourcePylancereportMissingModuleSource
I've already tried many tutorials on installing pandas. It actually worked the first time I used it, but the second time in a separate file, it doesn't work.
I've also already installed pandas through pip installer, and have un... | https://stackoverflow.com/questions/68507570/import-pandas-could-not-be-resolved-from-sourcepylancereportmissingmodulesourc | python, pandas, import, module, pip | 1,627,108,141 |
se_79751965 | stackoverflow | DATA_SCIENCE | Can a DataFrame have multiple, different types in the same column? | Can a DataFrame have multiple, different types in the same column?
I have a DataFrame, as shown below. In order to build it, I started with adding the numbers (100 for spec A Sum in 2020 and so on).
Additionally I add the median as a date.
2020 2021 ... 2024 2025
spec A Sum ... | https://stackoverflow.com/questions/79751965/can-a-dataframe-have-multiple-different-types-in-the-same-column | python, pandas, dataframe, dtype | 1,756,668,143 |
se_31076097 | stackoverflow | DATA_SCIENCE | Python pandas: Compare rows of dataframe based on some columns and drop row with lowest value | Python pandas: Compare rows of dataframe based on some columns and drop row with lowest value
I have a data frame df:
first_seen last_seen uri
0 2015-05-11 23:08:46 2015-05-11 23:08:50 http://11i-ssaintandder.com/
1 2015-05-11 23:08:46 2015-05-11 23:08:46 http://11i-ssaintan... | https://stackoverflow.com/questions/31076097/python-pandas-compare-rows-of-dataframe-based-on-some-columns-and-drop-row-with | python, pandas, dataframe, compare, row | 1,435,329,914 |
se_79751147 | stackoverflow | DATA_SCIENCE | How can I recreate ewm(adjust=False).std() in Pandas? | How can I recreate ewm(adjust=False).std() in Pandas?
This recreates ewm(adjust=True).std(): pandas ewm var and std, but I have no luck replicating the calculations in ewm(adjust=False).std(). Replicating ewm(False).mean() is easy but how is the bias corrected when the calculation for variance is recursive? From panda... | https://stackoverflow.com/questions/79751147/how-can-i-recreate-ewmadjust-false-std-in-pandas | python, pandas, standard-deviation, exponential-distribution | 1,756,557,303 |
se_79749770 | stackoverflow | DATA_SCIENCE | Pandas read_csv: Skip rows contains invalid data that can cause data_type parsing errors | Pandas read_csv: Skip rows contains invalid data that can cause data_type parsing errors
The csv file can contain string values to certain integer columns and I want to ignore/handle via callback if that happens, tried using on_bad_lines='skip/warn' however it gets triggered only on wherever there are parsing issues ... | https://stackoverflow.com/questions/79749770/pandas-read-csv-skip-rows-contains-invalid-data-that-can-cause-data-type-parsin | python, pandas | 1,756,434,459 |
se_79749829 | stackoverflow | DATA_SCIENCE | How to do linear interpolation in PySpark without Pandas UDF (only using Spark API)? | How to do linear interpolation in PySpark without Pandas UDF (only using Spark API)?
I have a Spark DataFrame with the following structure:
shock_rule_id
DATE
value
A
2024-01-01
100
A
2024-01-02
null
A
2024-01-03
130
B
2024-01-01
50
B
2024-01-02
null
B
2024-01-03
null
B
2024-01-04
80
I want to pe... | https://stackoverflow.com/questions/79749829/how-to-do-linear-interpolation-in-pyspark-without-pandas-udf-only-using-spark-a | python, pandas, dataframe, pyspark, interpolation | 1,756,443,100 |
se_65276777 | stackoverflow | DATA_SCIENCE | How to extract column labels only from pandas dataframe? | How to extract column labels only from pandas dataframe?
I want to extract column labels only which has time format from data frame. My data looks like below
and I want to get only data like 06-Dec-2020,07-Dec-2020,08-Dec-2020,09-Dec-2020,10-Dec-2020,11-Dec-2020,12-Dec-2020
Looking for great support | https://stackoverflow.com/questions/65276777/how-to-extract-column-labels-only-from-pandas-dataframe | python, pandas, dataframe | 1,607,869,984 |
se_79749522 | stackoverflow | DATA_SCIENCE | Pandas read_csv, load empty/missing column values as NaN while loading empty string for quoted empty strings values in csv file | Pandas read_csv, load empty/missing column values as NaN while loading empty string for quoted empty strings values in csv file
My csv file contains empty string "" as well as missing column values ,,. When i am loading with read_csv(), both are loaded as either empty string or NaN depending on keep_default_na and na... | https://stackoverflow.com/questions/79749522/pandas-read-csv-load-empty-missing-column-values-as-nan-while-loading-empty-str | python, pandas, string | 1,756,409,642 |
se_79750354 | stackoverflow | DATA_SCIENCE | Pandas merge one-to-many | Pandas merge one-to-many
I'm trying to merge two pandas DataFrames on multiple columns. It is a many-to-one relationship. There are many of the same values in df1 but only value in df2.
These are the example DataFrames :
df1 = pd.DataFrame({'date':['2025-03-01','2025-03-01', '2025-03-02'],'period':[1,1,2], 'company':[... | https://stackoverflow.com/questions/79750354/pandas-merge-one-to-many | python, pandas, join, merge | 1,756,474,847 |
se_75701948 | stackoverflow | DATA_SCIENCE | How to merge many data frames to only one | How to merge many data frames to only one
I have directory that has many folders inside each folder has (images folder & labels text) and I want to combine them to one dataframe file by concatnating folders name with images name to make them uinque names .
The structuer of my directory like below :
$ tree
.
├── sampl... | https://stackoverflow.com/questions/75701948/how-to-merge-many-data-frames-to-only-one | python, json, pandas, dataframe, deep-learning | 1,678,492,427 |
se_79750041 | stackoverflow | DATA_SCIENCE | drop.na code doesn't show up when using print(data_frame) | drop.na code doesn't show up when using print(data_frame)
I wanna delete missing values from a certain column:
#deleting rows with missing values
data_excel.dropna(subset=['Budget Betrag'])
then I wanna check whether it's working with
print(data_excel)
But with print(data_excel) the drop.na code doesn't show up.... | https://stackoverflow.com/questions/79750041/drop-na-code-doesnt-show-up-when-using-printdata-frame | python, pandas, dataframe | 1,756,457,838 |
se_69703499 | stackoverflow | DATA_SCIENCE | Error: module 'pandas' has no attribute 'read_pdf' | Error: module 'pandas' has no attribute 'read_pdf'
When importing the read_pdf method from pandas using
import pandas as pd
as the example demonstrated
It shows the following error message
AttributeError: AttributeError: module 'pandas' has no attribute 'read_pdf'
Environment
python --version: python ... | https://stackoverflow.com/questions/69703499/error-module-pandas-has-no-attribute-read-pdf | python, python-3.x, pandas, attributeerror | 1,635,142,192 |
se_25830588 | stackoverflow | DATA_SCIENCE | R Lattice like plots with Python, Pandas and Matplotlib | R Lattice like plots with Python, Pandas and Matplotlib
I have a pandas dataframe of "factors", floats and integers. I would like to make "R Lattice" like plots on it using conditioning and grouping on the categorical variables. I've used R extensively and wrote custom panel functions to get the plots formatted exactl... | https://stackoverflow.com/questions/25830588/r-lattice-like-plots-with-python-pandas-and-matplotlib | python, r, matplotlib, pandas, lattice | 1,410,675,053 |
se_79749580 | stackoverflow | DATA_SCIENCE | How to retrieve one data value from the result of a pandas DataFrame.groupby().mean() | How to retrieve one data value from the result of a pandas DataFrame.groupby().mean()
Using Pandas 2.3.2 on Python 3.9.2 via JupyterLab.
I've collected a bunch of thermal data from a thing. I've already collated that data into DataFrame chunks that look like this:
zone data Setpoint
9 zone1 40.3434... | https://stackoverflow.com/questions/79749580/how-to-retrieve-one-data-value-from-the-result-of-a-pandas-dataframe-groupby-m | python, pandas | 1,756,413,884 |
se_79684897 | stackoverflow | DATA_SCIENCE | What am i doing wrong appending lists in pandas? | What am i doing wrong appending lists in pandas?
I have two csv files in the folder. My output for each loop iteration is avg_mtf. I have been successful in creating lists and concatenating them in the other loops within glob but my comb list is generating only 1 index. What am I doing wrong?
Please help.
import panda... | https://stackoverflow.com/questions/79684897/what-am-i-doing-wrong-appending-lists-in-pandas | python, pandas, append, glob | 1,751,292,583 |
se_36731231 | stackoverflow | DATA_SCIENCE | Combine date and hour into one column in Pandas | Combine date and hour into one column in Pandas
How would I combine Day (datetime64[ns]) and Hour (int64) into one datetime column?
Day Hour
0 2010-04-24 17
1 2012-08-20 10
2 2016-03-06 9
3 2016-01-02 10
4 2010-12-21 4 | https://stackoverflow.com/questions/36731231/combine-date-and-hour-into-one-column-in-pandas | python, datetime, pandas | 1,461,108,572 |
se_63859046 | stackoverflow | DATA_SCIENCE | How do I check if a specific item in pandas series is NaT | How do I check if a specific item in pandas series is NaT
I have a series of random dates which have some NaT values in it (for example: index 112875)
DataFrame['series']
0 2006-06-06
1 2006-09-06
2 2006-12-22
3 2007-03-09
4 2007-06-05
...
112871 2019-10-29
112872 ... | https://stackoverflow.com/questions/63859046/how-do-i-check-if-a-specific-item-in-pandas-series-is-nat | python, pandas, series | 1,599,904,343 |
se_79744663 | stackoverflow | DATA_SCIENCE | Find max value of a column, then find another value in the same row, and copy that value to a new column | Find max value of a column, then find another value in the same row, and copy that value to a new column
I have the following frame:
lst = [
['SPXW 250715C06310000', '7/14/2025', 2.74, 2.87, 2.60, 2.65, 14, '8:30:00'],
['SPXW 250715C06310000', '7/14/2025', 2.80, 2.80, 2.50, 2.53, 61, '8:31:00'],
['SPXW 250... | https://stackoverflow.com/questions/79744663/find-max-value-of-a-column-then-find-another-value-in-the-same-row-and-copy-th | python, pandas, dataframe | 1,756,006,491 |
se_79749078 | stackoverflow | DATA_SCIENCE | Brier Skill Score returns NaN in cross_val_score with imbalanced dataset | Brier Skill Score returns NaN in cross_val_score with imbalanced dataset
I’m trying to evaluate classification models on a highly imbalanced fraud dataset using the Brier Skill Score (BSS) as the evaluation metric.
The dataset has ~2133 rows and the target Fraud_Flag is imbalanced:
Counter({0: 2067, 1: 66})
I impl... | https://stackoverflow.com/questions/79749078/brier-skill-score-returns-nan-in-cross-val-score-with-imbalanced-dataset | python, pandas, scikit-learn, imbalanced-data | 1,756,383,632 |
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