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_63070513 | stackoverflow | DATA_SCIENCE | Getting Error: "ValueError: 2 is not in range" when working with Pandas | Getting Error: "ValueError: 2 is not in range" when working with Pandas
I have got this error when try split my one column to few columns. But it split on just on one or two columns.If you wanna split on 3,4,5 columns it writes:
ValueError Traceback (most recent call last)
/usr... | https://stackoverflow.com/questions/63070513/getting-error-valueerror-2-is-not-in-range-when-working-with-pandas | python, pandas, numpy, dataframe | 1,595,581,926 |
se_55404141 | stackoverflow | DATA_SCIENCE | How to read a CSV file without using external libraries (such as Numpy, Pandas)? | How to read a CSV file without using external libraries (such as Numpy, Pandas)?
This is a question that usually appears in interviews.
I know how to read csv files using Pandas.
However I am struggling to find a way to read files without using external libraries.
Does Python come with any module that would help read ... | https://stackoverflow.com/questions/55404141/how-to-read-a-csv-file-without-using-external-libraries-such-as-numpy-pandas | python, excel, pandas, dataframe, csv | 1,553,796,078 |
se_79828200 | stackoverflow | DATA_SCIENCE | How to resample timeseries with origin aligned to start of year | How to resample timeseries with origin aligned to start of year
Consider the following pandas Series with a DatatimeIndex of daily values (using day-of-year as an example):
import pandas as pd
dti = pd.date_range("2017-11-02", "2019-05-21", freq="D", inclusive="both")
s = pd.Series(dti.dayofyear.astype(float), index=... | https://stackoverflow.com/questions/79828200/how-to-resample-timeseries-with-origin-aligned-to-start-of-year | python, pandas, dataframe, time-series, pandas-resample | 1,763,947,121 |
se_60783326 | stackoverflow | DATA_SCIENCE | How can I merge rows so that numbers of one column are greater than or equal to zero and other keys match? | How can I merge rows so that numbers of one column are greater than or equal to zero and other keys match?
I am working on a project so that items in different physical areas can be consolidated for maximum area optimization.
I have a list of items with different statuses, types and areas, along with a quantity of tha... | https://stackoverflow.com/questions/60783326/how-can-i-merge-rows-so-that-numbers-of-one-column-are-greater-than-or-equal-to | python, pandas, dataframe | 1,584,750,820 |
se_49991227 | stackoverflow | DATA_SCIENCE | Pandas & MatPlotLib: Plot a Bar Graph on Existing Scatter Plot or Vice Versa | Pandas & MatPlotLib: Plot a Bar Graph on Existing Scatter Plot or Vice Versa
I have a line graph (plotted using plot(x,y) funstion) plotted in a window, then, would it be possible to Plot a bar graph in/on the same window for visual analysis of the data that was plotted? | https://stackoverflow.com/questions/49991227/pandas-matplotlib-plot-a-bar-graph-on-existing-scatter-plot-or-vice-versa | python, pandas, matplotlib | 1,524,525,668 |
se_79825394 | stackoverflow | DATA_SCIENCE | How to export or import TOON in pandas? | How to export or import TOON in pandas?
I would like to know how to export or import TOON (Token object oriented notation) in pandas. | https://stackoverflow.com/questions/79825394/how-to-export-or-import-toon-in-pandas | python, pandas, dataframe, export | 1,763,634,831 |
se_75211253 | stackoverflow | DATA_SCIENCE | Aggregate and Order Different String Columns uniquely on Pandas | Aggregate and Order Different String Columns uniquely on Pandas
I am facing a problem to get the unique values of two different columns ordered A-Z and ignoring nan values.
I was trying to create an ordered list of unique values, then remove the brackets, but I struggle.
Can someone please help me with this?
Columns t... | https://stackoverflow.com/questions/75211253/aggregate-and-order-different-string-columns-uniquely-on-pandas | python, pandas, dataframe, sorting, lambda | 1,674,485,849 |
se_57124972 | stackoverflow | DATA_SCIENCE | How to fix 'TypeError: cannot convert dictionary update sequence element #0 to a sequence' | How to fix 'TypeError: cannot convert dictionary update sequence element #0 to a sequence'
I'm looking at Google's free machine learning crash course and am trying to make a predicting model based on the first part of their course. However, in the input function, where there's a dictionary, I keep getting this... | https://stackoverflow.com/questions/57124972/how-to-fix-typeerror-cannot-convert-dictionary-update-sequence-element-0-to-a | python, pandas, dictionary, tensorflow, regression | 1,563,627,643 |
se_79683477 | stackoverflow | DATA_SCIENCE | How to calculate interest based on conditions and add cumulatively to following rows balance and interest | How to calculate interest based on conditions and add cumulatively to following rows balance and interest
I am trying to develop an account summary table based on charges and monthly payments. The condition is that whenever a payment is paid over 7 days late (or not at all), it triggers an interest calculation based o... | https://stackoverflow.com/questions/79683477/how-to-calculate-interest-based-on-conditions-and-add-cumulatively-to-following | python, pandas, dataframe | 1,751,168,791 |
se_72377467 | stackoverflow | DATA_SCIENCE | How do I use awswrangler to read only the first few N rows of a parquet file stored in S3? | How do I use awswrangler to read only the first few N rows of a parquet file stored in S3?
I am trying to use awswrangler to read into a pandas dataframe an arbitrarily-large parquet file stored in S3, but limiting my query to the first N rows due to the file's size (and my poor bandwidth).
I cannot see how to do it, ... | https://stackoverflow.com/questions/72377467/how-do-i-use-awswrangler-to-read-only-the-first-few-n-rows-of-a-parquet-file-sto | python, pandas, dataframe, amazon-s3, aws-data-wrangler | 1,653,480,904 |
se_79825662 | stackoverflow | DATA_SCIENCE | Pandas converts Excel strings like ‘2004E205’ to scientific notation — how to prevent this | Pandas converts Excel strings like ‘2004E205’ to scientific notation — how to prevent this
How can I handle string values that contain patterns like xxxE205 (e.g., 2004E205), which are used as unique codes in my company? I explicitly read the column as a string in pandas, but values containing xxxExxx are still being ... | https://stackoverflow.com/questions/79825662/pandas-converts-excel-strings-like-2004e205-to-scientific-notation-how-to-pr | python, excel, pandas, string, scientific-notation | 1,763,651,487 |
se_36122586 | stackoverflow | DATA_SCIENCE | Pandas: can't drop columns: ValueError: labels [<colName>] not contained in axis | Pandas: can't drop columns: ValueError: labels [<colName>] not contained in axis
I have a df created from a simple CSV. When I try to reference columns by their names, to merge into a new df or to drop, I am getting a
ValueError: labels [<colName>] not contained in axis
I understand that to drop a column... | https://stackoverflow.com/questions/36122586/pandas-cant-drop-columns-valueerror-labels-colname-not-contained-in-axis | python, python-2.7, pandas, dataframe | 1,458,530,180 |
se_70188386 | stackoverflow | DATA_SCIENCE | Is pandas sort_values() deterministic in case of ties? | Is pandas sort_values() deterministic in case of ties?
I was wondering whether pandas sorting with sort_values() is a deterministic operation in case of ties, i.e. if calling df.sort_values('foo') would always return the same sorting, no matter how often I run it?
One example would be
df=pd.DataFrame(np.random.randint... | https://stackoverflow.com/questions/70188386/is-pandas-sort-values-deterministic-in-case-of-ties | python, pandas | 1,638,378,414 |
se_33783072 | stackoverflow | DATA_SCIENCE | .head() and .tail() with negative indexes on pandas GroupBy object | .head() and .tail() with negative indexes on pandas GroupBy object
I'm having trouble with filtering all but the last 1 element in each group of groupby object of pandas.DataFrame:
x = pd.DataFrame([['a', 1], ['b', 1], ['a', 2], ['b', 2], ['a', 3], ['b', 3]],
columns=['A', 'B'])
g = x.groupby('A')
... | https://stackoverflow.com/questions/33783072/head-and-tail-with-negative-indexes-on-pandas-groupby-object | python, pandas, group-by | 1,447,858,024 |
se_62218113 | stackoverflow | DATA_SCIENCE | How to perform calculation based on index? | How to perform calculation based on index?
Im very new to Python, hopefully someone can help to solve this issue.
Im trying to create a calculation in power bi based on my index. The reason for that is because my index resets from 1 to 250 every time one of my columns has a new value. kind of index by category.
Index:... | https://stackoverflow.com/questions/62218113/how-to-perform-calculation-based-on-index | python, pandas | 1,591,368,560 |
se_79821366 | stackoverflow | DATA_SCIENCE | How to get a true/false without duplicates when comparing two Pandas dataframes? | How to get a true/false without duplicates when comparing two Pandas dataframes?
I have one dataframe with sessions - one session, one row, so SID is unique. The session has a doctor name.
SID
Doctor
Patient
1
robby
david
2
langdon
sara
3
langdon
michael
I have another dataframe with the SID, and a recor... | https://stackoverflow.com/questions/79821366/how-to-get-a-true-false-without-duplicates-when-comparing-two-pandas-dataframes | python, pandas, dataframe | 1,763,285,394 |
se_63660610 | stackoverflow | DATA_SCIENCE | How to perform semi join with multiple columns in pandas? | How to perform semi join with multiple columns in pandas?
Let's say I have these two data frames:
>>> df1 = pd.DataFrame({'grp':[1,1,2], 'x':[6,4,2], 'y':[7,8,9]})
>>> df1
grp x y
0 1 6 7
1 1 4 8
2 2 2 9
>>> df2 = pd.DataFrame({'grp':[1], 'x':[6], 'z':[3]})
>>> df2
grp x z
0 1 6 3
I figur... | https://stackoverflow.com/questions/63660610/how-to-perform-semi-join-with-multiple-columns-in-pandas | python, pandas, dataframe, semi-join | 1,598,811,070 |
se_78085938 | stackoverflow | DATA_SCIENCE | Pandas pd.read_csv() using single quote as quotechar throws SyntaxError: incomplete input | Pandas pd.read_csv() using single quote as quotechar throws SyntaxError: incomplete input
I am currently trying to read in a .csv with the following structure:
samplecsv = """ 'column A', 'column b', 'column c',
'valueA', 'valueb', 'valuec,d',
'valueA', 'valueb', 'valuecd',
'valueA', 'valueb', 'valuecd',
'valueA'... | https://stackoverflow.com/questions/78085938/pandas-pd-read-csv-using-single-quote-as-quotechar-throws-syntaxerror-incompl | python, pandas, dataframe, csv | 1,709,275,152 |
se_78152837 | stackoverflow | DATA_SCIENCE | Why do I get NotImplementedError trying to create a dataframe from a database table? | Why do I get NotImplementedError trying to create a dataframe from a database table?
Using Pandas I can't read from an SQLite table:
import pandas as pd
import sqlite3 as sq
with sq.connect("master.db") as con:
table = "personal"
df = pd.read_sql_table(table, con)
Database file and code are in the same direc... | https://stackoverflow.com/questions/78152837/why-do-i-get-notimplementederror-trying-to-create-a-dataframe-from-a-database-ta | python, pandas, sqlite | 1,710,324,161 |
se_77244301 | stackoverflow | DATA_SCIENCE | DataFrame splitting rows on multiple conditions into two sets, behaviour unexpected | DataFrame splitting rows on multiple conditions into two sets, behaviour unexpected
I'm trying to split my data in two sets (setA and setB) based on the properties and size of the data.
Given a dataframe of random data:
import pandas as pd
import string
import random
# Create a DataFrame with random data
names = [''.... | https://stackoverflow.com/questions/77244301/dataframe-splitting-rows-on-multiple-conditions-into-two-sets-behaviour-unexpec | python, pandas, dataframe | 1,696,593,842 |
se_70325819 | stackoverflow | DATA_SCIENCE | How to solve BadZipFile: File is not a zip file error in Jupyter Notebook? | How to solve BadZipFile: File is not a zip file error in Jupyter Notebook?
I'm trying to read .xlsx files from folders in a specific directory and to write/export them into 4 new .xlsx files, which every new .xlsx will be containing data catalog per year.
The script works well when i tried it some months ago but it's ... | https://stackoverflow.com/questions/70325819/how-to-solve-badzipfile-file-is-not-a-zip-file-error-in-jupyter-notebook | python, pandas, openpyxl | 1,639,328,922 |
se_79823495 | stackoverflow | DATA_SCIENCE | Problem converting a column to datetime format | Problem converting a column to datetime format
I have a data frame and I am trying to convert the time column into a datetime format. The first step I did was:
data['time'] = data.time
data['time']=pd.to_datetime(data['time'], format='%H:%M:%S.%f')
This helped me successfully change the time column to:
dtype('\<M8\[n... | https://stackoverflow.com/questions/79823495/problem-converting-a-column-to-datetime-format | python, pandas, datetime, dtype | 1,763,477,534 |
se_79818431 | stackoverflow | DATA_SCIENCE | create dataframe from csv in PythonAnywhere | create dataframe from csv in PythonAnywhere
I am trying to display the headers of a data frame I created based on a csv file using the PythonAnywhere free version. I keep getting a huge error message and I don't understand what I did wrong.
import pandas as pd
data=pd.read_csv('Advertising.csv')
df=pd.DataFrame(dat... | https://stackoverflow.com/questions/79818431/create-dataframe-from-csv-in-pythonanywhere | python, pandas, dataframe, csv, pythonanywhere | 1,763,005,510 |
se_79822584 | stackoverflow | DATA_SCIENCE | problem on the x-axis of the graph, doesn't render the time | problem on the x-axis of the graph, doesn't render the time
I am working on a dashboard using Shiny for Python and Plotly Express. I am trying to create a Gantt chart (using px.timeline) to visualize the operating periods of different boilers (ON/OFF states).
The Goal: I want to display a horizontal bar chart wher... | https://stackoverflow.com/questions/79822584/problem-on-the-x-axis-of-the-graph-doesnt-render-the-time | python, pandas, dataframe, plotly, py-shiny | 1,763,399,896 |
se_79816665 | stackoverflow | DATA_SCIENCE | KeyError when trying to access Symbol columns from NASDAQ Other Symbols FTP export | KeyError when trying to access Symbol columns from NASDAQ Other Symbols FTP export
I am trying to make a program to get a list of all (or at least almost all) USA listed stocks on all exchanges. I got AI to generate the following program suggestion:
import pandas as pd
from ftplib import FTP
import io
def get_nasdaq... | https://stackoverflow.com/questions/79816665/keyerror-when-trying-to-access-symbol-columns-from-nasdaq-other-symbols-ftp-expo | python, pandas, ftp, keyerror, nasdaq-api | 1,762,865,965 |
se_38783027 | stackoverflow | DATA_SCIENCE | Jupyter notebook display two pandas tables side by side | Jupyter notebook display two pandas tables side by side
I have two pandas dataframes and I would like to display them in Jupyter notebook.
Doing something like:
display(df1)
display(df2)
Shows them one below another:
I would like to have a second dataframe on the right of the first one. There is a similar ques... | https://stackoverflow.com/questions/38783027/jupyter-notebook-display-two-pandas-tables-side-by-side | pandas, jupyter-notebook | 1,470,380,288 |
se_79822774 | stackoverflow | DATA_SCIENCE | How to count appearance of all items in a row on Pandas Dataframe | How to count appearance of all items in a row on Pandas Dataframe
II'm currently learning the Pandas library in Python (without AI assistance), and in one of my tasks I needed to count how many times each item appeared in a row of a DataFrame. Here's an example of the CSV I'm using:
ip,datetime,method,url,status,respo... | https://stackoverflow.com/questions/79822774/how-to-count-appearance-of-all-items-in-a-row-on-pandas-dataframe | python, pandas | 1,763,413,134 |
se_79821258 | stackoverflow | DATA_SCIENCE | set states to indicate on and off with timestamp | set states to indicate on and off with timestamp
def prepare_dataframe(df):
# Map original CSV column names to internal aliases for easier access
df.rename(columns={
'Bomba Calor - Temperatura de Aire (°C)': 'temp_aire',
'Bomba Calor - Temperatura Entrada (°C)': 'temp_entrada',
'Bomba C... | https://stackoverflow.com/questions/79821258/set-states-to-indicate-on-and-off-with-timestamp | python, pandas, plotly | 1,763,262,754 |
se_79519830 | stackoverflow | DATA_SCIENCE | What is the best way to get the last non zero value in a window of N rows? | What is the best way to get the last non zero value in a window of N rows?
This is my dataframe:
df = pd.DataFrame({
'a': [0, 0, 1, -1, -1, 0, 0, 0, 0, 0, -1, 0, 0, 1, 0]
})
Expected output is creating column b:
a b
0 0 0
1 0 0
2 1 0
3 -1 1
4 -1 -1
5 0 -1
6 0 -1
7 0 -1
8 0 0
9 0 0
10 ... | https://stackoverflow.com/questions/79519830/what-is-the-best-way-to-get-the-last-non-zero-value-in-a-window-of-n-rows | python, pandas | 1,742,378,647 |
se_64021420 | stackoverflow | DATA_SCIENCE | Pandas read_csv skiprows with conditional statements | Pandas read_csv skiprows with conditional statements
I have a bunch of txt files that i need to compile into a single master file. I use read_csv to extract the information inside. There are some rows to drop, and i was wondering if it's possible to use the skiprows feature without specifying the index number of rows ... | https://stackoverflow.com/questions/64021420/pandas-read-csv-skiprows-with-conditional-statements | python, pandas, dataframe, rows | 1,600,837,934 |
se_17335649 | stackoverflow | DATA_SCIENCE | How can I specify column names while reading an Excel file using Pandas? | How can I specify column names while reading an Excel file using Pandas?
I read an Excel sheet into a Pandas DataFrame this way:
import pandas as pd
xl = pd.ExcelFile("Path + filename")
df = xl.parse("Sheet1")
The first cell's value of each column is selected as the column name for the dataFrame, and I want to speci... | https://stackoverflow.com/questions/17335649/how-can-i-specify-column-names-while-reading-an-excel-file-using-pandas | python, excel, pandas | 1,372,313,125 |
se_79774477 | stackoverflow | DATA_SCIENCE | Python to copy a sheet from one Excel file to another, sheet names are the same | Python to copy a sheet from one Excel file to another, sheet names are the same
Using Python, I am trying to copy the contents of an Excel sheet, to another Excel file, with the same sheet name. The Pandas code to write to the destination sheet seems to overwrite the whole destination file.
The destination file has a ... | https://stackoverflow.com/questions/79774477/python-to-copy-a-sheet-from-one-excel-file-to-another-sheet-names-are-the-same | python, excel, pandas, openpyxl | 1,758,784,189 |
se_68613818 | stackoverflow | DATA_SCIENCE | Resampling of OHLC data | Resampling of OHLC data
I want to convert 1h OHLC data to xh OHLC data. I am using the resample method like it was proposed in similar threads, but it does not lead to the wanted result. The data:
open high low close Volume USD
date
2021-07-10 21:00:00 132.060 133.350 131.... | https://stackoverflow.com/questions/68613818/resampling-of-ohlc-data | python, pandas, ohlc | 1,627,846,978 |
se_79821053 | stackoverflow | DATA_SCIENCE | Python, parse nested JSON to make it flat for CSV | Python, parse nested JSON to make it flat for CSV
I'm trying to store API output into CSV/db and can not figure out how I can make for those Key in "tierList". One row in my case should be on bin and I need key as a columns in my output.
Is it possible to do with pd.JSON_Normalize ? Please direct me to the right lib/t... | https://stackoverflow.com/questions/79821053/python-parse-nested-json-to-make-it-flat-for-csv | python, json, pandas, csv | 1,763,233,223 |
se_79808233 | stackoverflow | DATA_SCIENCE | How to use Pandas style objects to format values with a hyperlink based on the index? | How to use Pandas style objects to format values with a hyperlink based on the index?
I want to format a Pandas DataFrame with a hyperlink based on the index.
import pandas as pd
df = (pd.DataFrame([dict(food='bananas', count=33, color='yellow'),
dict(food='apples', count=42, color='red'),
... | https://stackoverflow.com/questions/79808233/how-to-use-pandas-style-objects-to-format-values-with-a-hyperlink-based-on-the-i | python, pandas, pandas-styles | 1,762,197,330 |
se_37003100 | stackoverflow | DATA_SCIENCE | Pandas groupby for zero values | Pandas groupby for zero values
I have data like this in a csv file
Symbol Action Year
AAPL Buy 2001
AAPL Buy 2001
BAC Sell 2002
BAC Sell 2002
I am able to read it and groupby like this
df.groupby(['Symbol','Year']).count()
I get
Action
Symbol Year
AAPL 2001 ... | https://stackoverflow.com/questions/37003100/pandas-groupby-for-zero-values | python, pandas, dataframe, group-by | 1,462,275,490 |
se_79819326 | stackoverflow | DATA_SCIENCE | No module named 'pyspark.sql.metrics' when working with pickle or joblib on Databrick | No module named 'pyspark.sql.metrics' when working with pickle or joblib on Databrick
I read data from Databricks
import pandas as pd
import joblib
query = 'select * from table a"
df = spark.sql(query)
df = df.toPandas()
df.to_pickle('df.pickle')
joblib.dump(df, 'df.joblib')
Then I try to read what I saved o... | https://stackoverflow.com/questions/79819326/no-module-named-pyspark-sql-metrics-when-working-with-pickle-or-joblib-on-data | python, pandas, databricks, pickle, joblib | 1,763,059,908 |
se_43483365 | stackoverflow | DATA_SCIENCE | Use Pandas groupby() + apply() with arguments | Use Pandas groupby() + apply() with arguments
I would like to use df.groupby() in combination with apply() to apply a function to each row per group.
I normally use the following code, which usually works (note, that this is without groupby()):
df.apply(myFunction, args=(arg1,))
With the groupby() I tried the followi... | https://stackoverflow.com/questions/43483365/use-pandas-groupby-apply-with-arguments | python, pandas, dataframe, group-by, apply | 1,492,555,213 |
se_63303109 | stackoverflow | DATA_SCIENCE | Finding all files associated with an id within a folder of images? | Finding all files associated with an id within a folder of images?
I'm trying to populate a dataframe based on a class label and images in a folder.
I have a folder have over 10,000 images with the following name structure: ['leaflet_10000_1.jpg', 'leaflet_10000_2.jpg', 'leaflet_10001_1.jpg', 'leaflet_10001_2.jpg', 'l... | https://stackoverflow.com/questions/63303109/finding-all-files-associated-with-an-id-within-a-folder-of-images | python, python-3.x, pandas | 1,596,807,876 |
se_79819252 | stackoverflow | DATA_SCIENCE | use of melt into a df for long to wide and df.loc | use of melt into a df for long to wide and df.loc
i'd like to know if there is another better way of using df_filtered_dates = df.loc[start_date:end_date] or of this way it's good, i'm using for filter dates between the dates i choose from the frontend using flatpickr
@reactive.calc
def filtered_data():
... | https://stackoverflow.com/questions/79819252/use-of-melt-into-a-df-for-long-to-wide-and-df-loc | python, pandas, plotly, shiny-reactivity, py-shiny | 1,763,055,632 |
se_76680956 | stackoverflow | DATA_SCIENCE | How do I determine the correct encoding of a csv with pd.read_csv? | How do I determine the correct encoding of a csv with pd.read_csv?
My file has one value with value which is not recognized by any of the encodings I've tried. The value is assembléia which means assembléia in Portuguese (PT-BR).
I followed some tips of this forum, but didn't work. Follow the tips which I've followed... | https://stackoverflow.com/questions/76680956/how-do-i-determine-the-correct-encoding-of-a-csv-with-pd-read-csv | python, pandas, csv, encoding, character-encoding | 1,689,261,183 |
se_79815888 | stackoverflow | DATA_SCIENCE | Different epoch time from the same datetime | Different epoch time from the same datetime
Here is my code:
import pandas as pd
import datetime
df = pd.DataFrame({'str_date': ['2023091004']})
df['epoch'] = pd.to_datetime(df['str_date'], format='%Y%m%d%H').astype(int) // 10**9
dt = datetime.datetime.strptime(str(2023091004), "%Y%m%d%H")
epoch = int(dt.timestamp()... | https://stackoverflow.com/questions/79815888/different-epoch-time-from-the-same-datetime | python, pandas, datetime, epoch | 1,762,793,433 |
se_79817882 | stackoverflow | DATA_SCIENCE | How to access specific, indexed elements of a Pandas Dataframe for math? | How to access specific, indexed elements of a Pandas Dataframe for math?
What is the right/pythonic way to do math on a few indexed elements in a Pandas Dataframe?
I tried a few ways but they seem awkward and confusing:
df = pd.DataFrame({'x': [1, 2, 3, 4, 5, 6, 7, 9, ]})
df['y'] = df['x'] / 2
print(df)
def printEpr... | https://stackoverflow.com/questions/79817882/how-to-access-specific-indexed-elements-of-a-pandas-dataframe-for-math | python, pandas, dataframe, indexing | 1,762,959,631 |
se_63390090 | stackoverflow | DATA_SCIENCE | Python - Splitting positive/negative/neutral/ feedback sentiment score from Vader into separate columns and adding it to data set | Python - Splitting positive/negative/neutral/ feedback sentiment score from Vader into separate columns and adding it to data set
I'm trying to determine the sentiment score for customer feedback using VADER in python. The simple code below is running perfectly for individual feedback and returning a dictionary of neg... | https://stackoverflow.com/questions/63390090/python-splitting-positive-negative-neutral-feedback-sentiment-score-from-vade | python, pandas, xlsx, sentiment-analysis, vader | 1,597,303,426 |
se_70431125 | stackoverflow | DATA_SCIENCE | How to avoid writing an empty row when I save a multi-header DataFrame into Excel file? | How to avoid writing an empty row when I save a multi-header DataFrame into Excel file?
I would like to save a multi-header DataFrame as Excel file. Following is the sample code:
import pandas as pd
import numpy as np
header = pd.MultiIndex.from_product([['location1','location2'],
... | https://stackoverflow.com/questions/70431125/how-to-avoid-writing-an-empty-row-when-i-save-a-multi-header-dataframe-into-exce | python, excel, pandas, dataframe | 1,640,065,403 |
se_79816331 | stackoverflow | DATA_SCIENCE | How to store number as a text while exporting from pandas to excel | How to store number as a text while exporting from pandas to excel
I have a DataFrame that contains an A/C number column, where some values are longer than 15 digits. When I export the DataFrame to Excel using .to_excel(), Excel automatically converts these long numbers into scientific notation or rounds them off (e.g... | https://stackoverflow.com/questions/79816331/how-to-store-number-as-a-text-while-exporting-from-pandas-to-excel | python, excel, pandas | 1,762,845,371 |
se_79815935 | stackoverflow | DATA_SCIENCE | How to assign int input value as column name in pandas | How to assign int input value as column name in pandas
I need to take an integer input value, assign it to a variable, and then use that variable as a column name to get data from a pandas DataFrame.
Data:
1 10 20 30
2 40 50 60
Steps:
Assign input to a variable:
Enter value: 1
x =1
Use this variable (x) as a c... | https://stackoverflow.com/questions/79815935/how-to-assign-int-input-value-as-column-name-in-pandas | python, pandas, dataframe, variables | 1,762,797,105 |
se_42263946 | stackoverflow | DATA_SCIENCE | How to create a table with clickable hyperlink in pandas & Jupyter Notebook | How to create a table with clickable hyperlink in pandas & Jupyter Notebook
print('http://google.com') outputs a clickable url.
How do I get clickable URLs for pd.DataFrame(['http://google.com', 'http://duckduckgo.com']) ? | https://stackoverflow.com/questions/42263946/how-to-create-a-table-with-clickable-hyperlink-in-pandas-jupyter-notebook | python, pandas, jupyter-notebook, pandas-styles | 1,487,213,435 |
se_52850667 | stackoverflow | DATA_SCIENCE | Pyarrow apply schema when using pandas to_parquet() | Pyarrow apply schema when using pandas to_parquet()
I have a very wide data frame (20,000 columns) that is mainly made up of float64 columns in Pandas. I want to cast these columns to float32 and write to Parquet format. I am doing this because the down steam user of these files are small containers with limited memor... | https://stackoverflow.com/questions/52850667/pyarrow-apply-schema-when-using-pandas-to-parquet | python, pandas, pyarrow | 1,539,765,754 |
se_64293690 | stackoverflow | DATA_SCIENCE | TypeError: unsupported operand type(s) for /: 'str' and 'float' when trying to pass interperpolate | TypeError: unsupported operand type(s) for /: 'str' and 'float' when trying to pass interperpolate
Code:
cols = ["e_tbhiv_prct", "e_tbhiv_prct_lo", "e_tbhiv_prct_hi",
"e_inc_tbhiv_100k", "e_inc_tbhiv_100k_lo", "e_inc_tbhiv_100k_hi",
"e_inc_tbhiv_num", "e_inc_tbhiv_num_lo", ... | https://stackoverflow.com/questions/64293690/typeerror-unsupported-operand-types-for-str-and-float-when-trying-to-p | python, pandas, interpolation | 1,602,334,691 |
se_79809778 | stackoverflow | DATA_SCIENCE | What is the ideal production-grade infrastructure to deploy a Python FastAPI service for computing option Greeks (e.g., Black–Scholes)? | What is the ideal production-grade infrastructure to deploy a Python FastAPI service for computing option Greeks (e.g., Black–Scholes)?
I am building a python service to compute Greek values using python, but I have never worked on python, and I would appreciate advice from the experienced python devs as it would help... | https://stackoverflow.com/questions/79809778/what-is-the-ideal-production-grade-infrastructure-to-deploy-a-python-fastapi-ser | python, pandas, fastapi, trading, best-practices | 1,762,330,022 |
se_19991445 | stackoverflow | DATA_SCIENCE | Run an OLS regression with Pandas Data Frame | Run an OLS regression with Pandas Data Frame
I have a pandas data frame and I would like to able to predict the values of column A from the values in columns B and C. Here is a toy example:
import pandas as pd
df = pd.DataFrame({"A": [10,20,30,40,50],
"B": [20, 30, 10, 40, 50],
... | https://stackoverflow.com/questions/19991445/run-an-ols-regression-with-pandas-data-frame | python, pandas, scikit-learn, regression, statsmodels | 1,384,476,420 |
se_75846787 | stackoverflow | DATA_SCIENCE | last column name is not bold when applying bold font to column names together with hiding index before converting to latex | last column name is not bold when applying bold font to column names together with hiding index before converting to latex
I am trying to convert pandas dataframe to latex with column names in bold font at the sam time , with the following code:
import pandas as pd
df = pd.DataFrame(
dict(name=['Raphael', 'Donate... | https://stackoverflow.com/questions/75846787/last-column-name-is-not-bold-when-applying-bold-font-to-column-names-together-wi | python, pandas, dataframe | 1,679,821,420 |
se_50425087 | stackoverflow | DATA_SCIENCE | Model Output `to_excel` in Python? | Model Output `to_excel` in Python?
Running a MixedLM and want to push the output to Excel or a CSV, see model code and output below:
model = smf.mixedlm('y_var ~ gas_prices', dfModel,
groups = dfModel['region'])
mdf = model.fit()
print(mdf.summary())
Mixed Linear Model Regression Re... | https://stackoverflow.com/questions/50425087/model-output-to-excel-in-python | python, python-3.x, pandas, statsmodels | 1,526,731,320 |
se_79812688 | stackoverflow | DATA_SCIENCE | After encoding my categorical columns in a pandas dataframe, I was left with too many columns. How can I drop some? | After encoding my categorical columns in a pandas dataframe, I was left with too many columns. How can I drop some?
I am using Python with a pandas dataframe, it is a CSV of Steam games, and I have the categorical columns of publishers, developers, categories, genres, and tags, but categories, genres, and tags are the... | https://stackoverflow.com/questions/79812688/after-encoding-my-categorical-columns-in-a-pandas-dataframe-i-was-left-with-too | python, pandas, dataframe, machine-learning, one-hot-encoding | 1,762,539,790 |
se_76684478 | stackoverflow | DATA_SCIENCE | Flatten a time series based on its correlation with another time series | Flatten a time series based on its correlation with another time series
I would like to flatten a time series column based on its correlation with another column, I am trying a few approach and they are not working...
import pandas as pd
import numpy as np
import random
from datetime import datetime, timedelta
start_... | https://stackoverflow.com/questions/76684478/flatten-a-time-series-based-on-its-correlation-with-another-time-series | python, pandas, dataframe, time-series | 1,689,304,501 |
se_70295187 | stackoverflow | DATA_SCIENCE | How to reset cumulative sum per group when a certain column is 0 in pandas | How to reset cumulative sum per group when a certain column is 0 in pandas
I have following dataframe in which I want to make a cumulative sum on a certain column (Value), together with a group by on field Group, but reset that cumulative sum to 0 when a value in another column (Quantity) is 0.
Group
Quantity
Value... | https://stackoverflow.com/questions/70295187/how-to-reset-cumulative-sum-per-group-when-a-certain-column-is-0-in-pandas | python, pandas, dataframe, numpy, group-by | 1,639,075,774 |
se_79811433 | stackoverflow | DATA_SCIENCE | Calculate cumulative value based on another column | Calculate cumulative value based on another column
Having this kind of pandas dataframe
df = pd.DataFrame({
'ts_diff':[0, 0, 738, 20, 29, 61, 42, 18, 62, 41, 42, 0, 0, 729, 43, 59, 42, 61, 44, 36, 61, 61, 42, 18, 62, 41, 42, 0, 0]
})
ts_diff - is duration in milliseconds between events
Would like to generate anot... | https://stackoverflow.com/questions/79811433/calculate-cumulative-value-based-on-another-column | python, pandas, dataframe, numpy | 1,762,441,003 |
se_74861745 | stackoverflow | DATA_SCIENCE | keyerror: "['label'] not found in axis", while using Pandas, even after providing axis=1 and inplace=True | keyerror: "['label'] not found in axis", while using Pandas, even after providing axis=1 and inplace=True
While trying to drop a column from a dataset, it is showing a keyerror: "['label'] not found in axis". Although I know you have to provide an axis i.e. 1, but even after providing the axis gettin... | https://stackoverflow.com/questions/74861745/keyerror-label-not-found-in-axis-while-using-pandas-even-after-providin | python, pandas, dataframe | 1,671,532,626 |
se_79443482 | stackoverflow | DATA_SCIENCE | Find value from row , above and below using If statements in python | Find value from row , above and below using If statements in python
import pandas as pd
import numpy as np
df= pd.read_csv ("file.csv")
n = 0
a = 7 # 1st value to find in row1
b = 39 # 2nd value to find in row2
c = 10 # 3rd value to find in row3
d = 38 # 4th value to find in row4
value_1 = 5... | https://stackoverflow.com/questions/79443482/find-value-from-row-above-and-below-using-if-statements-in-python | python, pandas, if-statement | 1,739,721,967 |
se_75210241 | stackoverflow | DATA_SCIENCE | How to parse nested XML and extract attributes + tag text both? | How to parse nested XML and extract attributes + tag text both?
My XML looks like this:
<?xml version="1.0" encoding="UTF-8" ?>
<main_heading timestamp="20220113">
<details>
<offer id="11" new_id="12">
<level>1&1</level>
<typ>Green</typ>
<name>Alpha</name>
<visits>
<... | https://stackoverflow.com/questions/75210241/how-to-parse-nested-xml-and-extract-attributes-tag-text-both | python, pandas, xml, beautifulsoup, xml-parsing | 1,674,480,803 |
se_54588066 | stackoverflow | DATA_SCIENCE | Cannot install RAY | Cannot install RAY
Ray library from RISE lab (https://rise.cs.berkeley.edu/blog/pandas-on-ray/)
I am using Windows 10 Pro, 64-bit and running these scripts from Anaconda prompt.
I have tried both
pip install ray
and
pip3 install ray
with the same result
Collecting ray
Could not find a version that satisf... | https://stackoverflow.com/questions/54588066/cannot-install-ray | python, python-3.x, pandas, ray, modin | 1,549,612,528 |
se_69603910 | stackoverflow | DATA_SCIENCE | pandas series: why series[-1] = error and series[0] = result | pandas series: why series[-1] = error and series[0] = result
Given a series like pd.Series([1,2,3,4])
To get the first value I can do:
first = series[0]
But to get the last value like last = series[-1] produces an error.
I need to do last = series.iloc[-1]
I don't understand why. (Why do I don't need first = series.i... | https://stackoverflow.com/questions/69603910/pandas-series-why-series-1-error-and-series0-result | pandas, indexing | 1,634,470,438 |
se_70452647 | stackoverflow | DATA_SCIENCE | How to use Python to read Excel files that contain extended fonts? (openpyxl error: Max value is 14) | How to use Python to read Excel files that contain extended fonts? (openpyxl error: Max value is 14)
As a learning project for Python, I am attempting to read all Excel files in a directory and extract the names of all the sheets.
I have been trying several available Python modules to do this (pandas in this example),... | https://stackoverflow.com/questions/70452647/how-to-use-python-to-read-excel-files-that-contain-extended-fonts-openpyxl-err | python, excel, pandas, openpyxl | 1,640,192,797 |
se_26784313 | stackoverflow | DATA_SCIENCE | Converting millions and billion to a number or integer in a Python column | Converting millions and billion to a number or integer in a Python column
I have a column that has values like '10 million' and '5 billion' and would like an easy way to just convert that into a numerical value to do some further analysis.
I tried
powers = {'billion': 10 ** 9, 'million': 10 ** 6}
def f(s):
try... | https://stackoverflow.com/questions/26784313/converting-millions-and-billion-to-a-number-or-integer-in-a-python-column | python, pandas | 1,415,290,935 |
se_79809062 | stackoverflow | DATA_SCIENCE | How to find a common value using if statement | How to find a common value using if statement
I am still a beginner in python. I am trying to find a common value with if statement,
import pandas as pd
df = pd.read_csv("data.csv")
for n in range(2, len(df)):
if df.loc[n].isin([2]).any():
if df.loc[n-1].isin([1]).any():
print("Yes")
n += 1
... | https://stackoverflow.com/questions/79809062/how-to-find-a-common-value-using-if-statement | python, pandas, dataframe, if-statement, pandas-loc | 1,762,268,134 |
se_79809179 | stackoverflow | DATA_SCIENCE | Concatenate Tables Based on Column Information in Python | Concatenate Tables Based on Column Information in Python
I have a dataframes pulled from a file. The variable with all these dataframe names is: Data_Tables.
These dataframes all have the same columns, and I want to concatenate the dataframes based on the entry for one of the columns, I'll say "fruit" for this example... | https://stackoverflow.com/questions/79809179/concatenate-tables-based-on-column-information-in-python | python, pandas, dataframe, concatenation, iteration | 1,762,274,962 |
se_79807535 | stackoverflow | DATA_SCIENCE | Awswrangler: Parquet read into multiple of expected space | Awswrangler: Parquet read into multiple of expected space
In a Lambda, I'm using AWS Wrangler to read data out of a date partitioned set of parquets and concatenate them together. I am doing this by calling wr.s3.read_parquet in a loop, compiling the loaded dataframes into a list, and then joining them using pandas.co... | https://stackoverflow.com/questions/79807535/awswrangler-parquet-read-into-multiple-of-expected-space | python, pandas, amazon-s3, aws-lambda, parquet | 1,762,144,123 |
se_75419119 | stackoverflow | DATA_SCIENCE | Find names of n largest values in each row of dataframe | Find names of n largest values in each row of dataframe
I can find the n largest values in each row of a numpy array (link) but doing so loses the column information which is what I want. Say I have some data:
import pandas as pd
import numpy as np
np.random.seed(42)
data = np.random.rand(5,5)
data = pd.DataFrame(dat... | https://stackoverflow.com/questions/75419119/find-names-of-n-largest-values-in-each-row-of-dataframe | python, pandas, dataframe | 1,676,106,322 |
se_75438753 | stackoverflow | DATA_SCIENCE | Pandas read_html() with table containing html elements | Pandas read_html() with table containing html elements
I have the following HTML table:
<table>
<thead>
<th> X1 </th>
<th> X2 </th>
</thead>
<tbody>
<tr>
<td>Test</td>
<td><span style="..."> Test2 </span> </td>
</tr>
</tbody>
</table>
that I would want to parse to a dataframe by using pd.read_html... | https://stackoverflow.com/questions/75438753/pandas-read-html-with-table-containing-html-elements | python, html, pandas, parsing, html-parsing | 1,676,306,288 |
se_76255745 | stackoverflow | DATA_SCIENCE | re.search is not returning complete match | re.search is not returning complete match
I have dataframe with multiple columns of text. In one column with text I try to search for a substring with wildcards in a long string and put the result in a new column. The problem is that I manage to find a result, but the match is not returning the complete string.
For ex... | https://stackoverflow.com/questions/76255745/re-search-is-not-returning-complete-match | python, pandas, regex, python-re | 1,684,165,203 |
se_79788108 | stackoverflow | DATA_SCIENCE | How do I calculate a relative time delta in Pandas? | How do I calculate a relative time delta in Pandas?
I have a column of datetimes and I want to get the difference between values in terms of years, months, etc, instead of timedeltas that only provide days. How do I do this in Pandas?
Pandas provides DateOffset for relative deltas, but the docs say "the positional arg... | https://stackoverflow.com/questions/79788108/how-do-i-calculate-a-relative-time-delta-in-pandas | python, pandas, datetime | 1,760,198,396 |
se_58398604 | stackoverflow | DATA_SCIENCE | time freezing doesn't work with pandas timestamps | time freezing doesn't work with pandas timestamps
I've noticed this behaviour since at least 2015 and it hasn't changed since. When freezegun (or pytest-freezegun) is used to freeze time in a test, datetime.datetime.now() returns the frozen value while pd.Timestamp('now') and pd.to_datetime('now') do not. Is there... | https://stackoverflow.com/questions/58398604/time-freezing-doesnt-work-with-pandas-timestamps | python, pandas, freezegun | 1,571,155,090 |
se_26358200 | stackoverflow | DATA_SCIENCE | Xticks by pandas plot, rename with the string | Xticks by pandas plot, rename with the string
I have this df:
df = pd.DataFrame({'A': [1, 2, 3], 'B': [2, 3, 5], 'C': ['name 1', 'name 2', 'name 3']})
A B C
0 1 2 name 1
1 2 3 name 2
2 3 5 name 3
What is it the correct way to plot column A and use column C as xticks?
These do not work:
df['A'].plo... | https://stackoverflow.com/questions/26358200/xticks-by-pandas-plot-rename-with-the-string | python, pandas, matplotlib, plot, xticks | 1,413,281,519 |
se_23464138 | stackoverflow | DATA_SCIENCE | Downloading and accessing data from github python | Downloading and accessing data from github python
Hi I'm going through Python for Data analysis and I'd like to analyze the data he goes through in the book. In chapter 9, he uses the data below. However, I'm having a difficult time understanding how to utilize the data in my ipython notebook once I download it to my ... | https://stackoverflow.com/questions/23464138/downloading-and-accessing-data-from-github-python | python, git, pandas | 1,399,258,998 |
se_21291259 | stackoverflow | DATA_SCIENCE | Convert floats to ints in Pandas? | Convert floats to ints in Pandas?
I've been working with data imported from a CSV. Pandas changed some columns to float, so now the numbers in these columns get displayed as floating points! However, I need them to be displayed as integers or without comma. Is there a way to convert them to integers or not display the... | https://stackoverflow.com/questions/21291259/convert-floats-to-ints-in-pandas | python, pandas, dataframe, floating-point, integer | 1,390,416,135 |
se_62221106 | stackoverflow | DATA_SCIENCE | pandas Multi-index DataFrame column level values still exists after selection | pandas Multi-index DataFrame column level values still exists after selection
I have a multi-index pd.DataFrame:
idx = pd.MultiIndex.from_product([['a', 'b'], [1, 2, 3]])
df = pd.DataFrame(index=[1, 2, 3, 4], columns=idx).fillna(0)
and I would like to select the 'a' part of the first level of the columns:
dfa = df[['... | https://stackoverflow.com/questions/62221106/pandas-multi-index-dataframe-column-level-values-still-exists-after-selection | python, pandas, dataframe | 1,591,378,403 |
se_28772494 | stackoverflow | DATA_SCIENCE | How do you update the levels of a pandas MultiIndex after slicing its DataFrame? | How do you update the levels of a pandas MultiIndex after slicing its DataFrame?
I have a Dataframe with a pandas MultiIndex:
In [1]: import pandas as pd
In [2]: multi_index = pd.MultiIndex.from_product(
...: [['CAN', 'USA'], ['total']],
...: names=['country', 'sex'])
In [3]: df = pd.DataFrame({'pop': ... | https://stackoverflow.com/questions/28772494/how-do-you-update-the-levels-of-a-pandas-multiindex-after-slicing-its-dataframe | python, pandas | 1,425,064,123 |
se_79806769 | stackoverflow | DATA_SCIENCE | How to extract table from PDF with boxes into pandas dataframe | How to extract table from PDF with boxes into pandas dataframe
I have code that detects a table in a PDF that appears after a specific section, and parses the information in the table and copies it into a pandas dataframe.
Now, I want to indicate whether a box is checked (or not blank) next to the information parsed f... | https://stackoverflow.com/questions/79806769/how-to-extract-table-from-pdf-with-boxes-into-pandas-dataframe | python, pandas, parsing, pdf, ocr | 1,762,024,098 |
se_47916165 | stackoverflow | DATA_SCIENCE | Python2: pandas groupby get proportion of NaN in each group | Python2: pandas groupby get proportion of NaN in each group
I have a dataframe with a group column and a values column:
df = pd.DataFrame({'group': ['CA', 'WA', 'CO', 'AZ', 'MA'] * 10,
'value': pd.Series(range(5) + [np.nan]).sample(50, replace=True)})
How can I use groupby on the group column to ... | https://stackoverflow.com/questions/47916165/python2-pandas-groupby-get-proportion-of-nan-in-each-group | python, pandas, python-2.7 | 1,513,815,529 |
se_79807712 | stackoverflow | DATA_SCIENCE | Why does the pivoted dataframe contain information about columns that weren't included in the pivot? | Why does the pivoted dataframe contain information about columns that weren't included in the pivot?
There is a dataframe with a multiindex columns:
import pandas as pd
df = pd.DataFrame({
"A": ["foo", "foo", "bar", "bar"],
"B": ["small", "large", "large", "small"],
"C": [1, 2, 2, 7],
"D": [2, 4, ... | https://stackoverflow.com/questions/79807712/why-does-the-pivoted-dataframe-contain-information-about-columns-that-werent-in | python, pandas, dataframe, pivot | 1,762,163,714 |
se_61690295 | stackoverflow | DATA_SCIENCE | Python-Pandas convert columns into rows | Python-Pandas convert columns into rows
My database from excel has some information by Country for Years. The problem is each year is a different column header. For example:
Country Indicator 1950 1951 1952
Australia x 10 27 20
Australia y 7 11 8
Australia ... | https://stackoverflow.com/questions/61690295/python-pandas-convert-columns-into-rows | python, pandas | 1,588,984,702 |
se_36285155 | stackoverflow | DATA_SCIENCE | Pandas: Get Dummies | Pandas: Get Dummies
I have the following dataframe:
amount catcode cid cycle date di feccandid type
0 1000 E1600 N00029285 2014 2014-05-15 D H8TX22107 24K
1 5000 G4600 N00026722 2014 2013-10-22 D H4TX28046 24K
2 4 C2100 N00030676 2014 2014-03-26... | https://stackoverflow.com/questions/36285155/pandas-get-dummies | python, pandas, dummy-variable | 1,459,256,736 |
se_75939533 | stackoverflow | DATA_SCIENCE | How can I sum cumulatively values on condition in polars or pandas? | How can I sum cumulatively values on condition in polars or pandas?
I have a problem i'm trying to solve using preferably polars but pandas is also fine.
Say we have the following dataset (sample):
import polars as pl
df = pl.from_repr("""
┌─────────────────────┬───────────┬───────────────────┐
│ date ... | https://stackoverflow.com/questions/75939533/how-can-i-sum-cumulatively-values-on-condition-in-polars-or-pandas | python, pandas, dataframe, python-polars | 1,680,698,399 |
se_79806045 | stackoverflow | DATA_SCIENCE | New installation get this: main loop could not convert string '2023-01-02' to float64 | New installation get this: main loop could not convert string '2023-01-02' to float64
I have just installed the new Mint 22.2 as my old hard disk with Mint 21 seems to have some issues. I use Eric-IDE to execute my .py script.
The script is first downloading stock values from a certain date, and after that it ... | https://stackoverflow.com/questions/79806045/new-installation-get-this-main-loop-could-not-convert-string-2023-01-02-to-fl | python, pandas, matplotlib, string-conversion | 1,761,930,508 |
se_79803236 | stackoverflow | DATA_SCIENCE | Pandas DataFrame with a hundred million entries and counting the number of identical characters in strings | Pandas DataFrame with a hundred million entries and counting the number of identical characters in strings
I have a pandas DataFrame (df) with two columns (namely Tuple and Set) and approximately 100,000,000 entries. The Tuple column data is a string of exactly 9 characters. The Set column data is an ordinal integer f... | https://stackoverflow.com/questions/79803236/pandas-dataframe-with-a-hundred-million-entries-and-counting-the-number-of-ident | python, pandas, dataframe, bigdata, counter | 1,761,682,866 |
se_54715073 | stackoverflow | DATA_SCIENCE | Plotting dataframe columns by similarity in header strings on one graph Python | Plotting dataframe columns by similarity in header strings on one graph Python
I have a dataframe that has 2 sets of data both with the same or similar names in their headers/column names.
The data looks something like this:
Cali_Lower_Population Cali_Upper_Population Cali_Lower_Density Cali_Upper_Density ... | https://stackoverflow.com/questions/54715073/plotting-dataframe-columns-by-similarity-in-header-strings-on-one-graph-python | python, python-3.x, pandas, matplotlib, group-by | 1,550,255,014 |
se_79431335 | stackoverflow | DATA_SCIENCE | Memory Usage Continues to Increase When Repeatedly Reading Parquet files | Memory Usage Continues to Increase When Repeatedly Reading Parquet files
I'm experiencing an issue where my Python script's memory usage continuously increases during repeated processing of Parquet files using PyArrow—even after explicitly deleting objects and forcing garbage collection. The behavior is similar when I... | https://stackoverflow.com/questions/79431335/memory-usage-continues-to-increase-when-repeatedly-reading-parquet-files | python, pandas, dataframe, python-polars, pyarrow | 1,739,308,540 |
se_79428965 | stackoverflow | DATA_SCIENCE | Why is this polars filtering so much slower than my pandas equivalent? | Why is this polars filtering so much slower than my pandas equivalent?
I'm trying a function in polars, and it is significantly slower than my pandas equivalent.
My pandas function is the following:
import pandas as pd
import time
import numpy as np
target_value = 0.5
data = np.random.rand(1000,100)
df = pd.DataFrame... | https://stackoverflow.com/questions/79428965/why-is-this-polars-filtering-so-much-slower-than-my-pandas-equivalent | python, pandas, dataframe, performance, python-polars | 1,739,252,195 |
se_50020231 | stackoverflow | DATA_SCIENCE | pandas: TypeError: unhashable type: 'list' | pandas: TypeError: unhashable type: 'list'
I have the following df:
df = pd.DataFrame(
[
[["John Muller"], "person", [8866155845]],
[["Innovation Division"], "company", np.nan],
[["Carol Sway"], "person", [8866155845]],
],
columns=["name", "kind", "phone"],
)
# Out:
# ... | https://stackoverflow.com/questions/50020231/pandas-typeerror-unhashable-type-list | python, list, pandas, hash, duplicates | 1,524,652,985 |
se_79630693 | stackoverflow | DATA_SCIENCE | How to apply a pandas filter if the filter requirement is an element in a list | How to apply a pandas filter if the filter requirement is an element in a list
I have a dataframe, and a list of potentially different filters.
Is there a way to apply a filter that comes from a list so that the dataframe is filtered accordingly?
MRE:
In this example, the df is filtered based on the conditions set out... | https://stackoverflow.com/questions/79630693/how-to-apply-a-pandas-filter-if-the-filter-requirement-is-an-element-in-a-list | python, pandas, dataframe, list, filter | 1,747,753,332 |
se_34111620 | stackoverflow | DATA_SCIENCE | Pandas, Bar Chart Annotations | Pandas, Bar Chart Annotations
How to properly give Annotations to Pandas Bar Charts?
I'm following Bar Chart Annotations with Pandas and MPL, but somehow I can't make it into my own code.
I've also found the following code from here:
def autolabel(rects):
# attach some text labels
for rect in rects:
he... | https://stackoverflow.com/questions/34111620/pandas-bar-chart-annotations | python, pandas, matplotlib, plot, charts | 1,449,354,201 |
se_79805740 | stackoverflow | DATA_SCIENCE | How to read mixed data (numbers and strings) from Excel with xlwings without converting 123 → 123.0 | How to read mixed data (numbers and strings) from Excel with xlwings without converting 123 → 123.0
I’m using xlwings to read an Excel sheet into a pandas DataFrame with the built-in pd.DataFrame converter.
Some of my columns contain mixed data (e.g. IDs or codes like 123, 00123, ABCD).
When I read the sheet, xlwings ... | https://stackoverflow.com/questions/79805740/how-to-read-mixed-data-numbers-and-strings-from-excel-with-xlwings-without-con | python, excel, pandas, xlwings | 1,761,911,125 |
se_79731877 | stackoverflow | DATA_SCIENCE | Pandas DtypeWarning "Columns have mixed types" for large CSV file (no error with one less line) | Pandas DtypeWarning "Columns have mixed types" for large CSV file (no error with one less line)
I am using Pandas (v2.2.3) to read/load a (relatively large) CSV file using read_csv(). The full file has about 500k lines.
The function throws a DtypeWarning stating that "Columns have mixed types" and suggests t... | https://stackoverflow.com/questions/79731877/pandas-dtypewarning-columns-have-mixed-types-for-large-csv-file-no-error-with | python, pandas, csv | 1,754,903,902 |
se_79805165 | stackoverflow | DATA_SCIENCE | Plotly px.timelines shows 1970 even though print(data.dtypes) confirms correct datetime in shiny | Plotly px.timelines shows 1970 even though print(data.dtypes) confirms correct datetime in shiny
I'm building a dashboard in Shiny for Python and I'm stuck on a strange bug. I have a Plotly px.timeline that should display boiler on-times based on a date range from a Flatpickr input.
The Problem:
No matter what date ra... | https://stackoverflow.com/questions/79805165/plotly-px-timelines-shows-1970-even-though-printdata-dtypes-confirms-correct-d | python, pandas, plotly-express, py-shiny | 1,761,853,518 |
se_79804879 | stackoverflow | DATA_SCIENCE | How to fix "AttributeError: 'Series' object has no attribute 'codes'" using pandas.Categorical | How to fix "AttributeError: 'Series' object has no attribute 'codes'" using pandas.Categorical
I am trying to convert a string that is a categorical data type into a numeric. I found out that I can use pandas.Categorical,
unfortunately, accessing the codes attribute give me an error.
Here is ... | https://stackoverflow.com/questions/79804879/how-to-fix-attributeerror-series-object-has-no-attribute-codes-using-pand | python, pandas, categorical-data | 1,761,834,762 |
se_40506390 | stackoverflow | DATA_SCIENCE | 'Series' object has no attribute 'colNames' (which is a separate variable) | 'Series' object has no attribute 'colNames' (which is a separate variable)
I need to use a lambda function to do a row by row computation. For example create some dataframe
import pandas as pd
import numpy as np
def myfunc(x, y):
return x + y
colNames = ['A', 'B']
data = np.array([np.arange(10)]*... | https://stackoverflow.com/questions/40506390/series-object-has-no-attribute-colnames-which-is-a-separate-variable | python, pandas, attributeerror | 1,478,692,427 |
se_77409954 | stackoverflow | DATA_SCIENCE | Polars and Pandas DataFrame consume almost same memory. Where is the advantage of Polars? | Polars and Pandas DataFrame consume almost same memory. Where is the advantage of Polars?
I wanted to compare memory consumption for same dataset. I read same SQL query with pandas and polars from an Oracle DB. Memory usage results are almost same. and execution time is 2 times faster than polars. I expect polars will... | https://stackoverflow.com/questions/77409954/polars-and-pandas-dataframe-consume-almost-same-memory-where-is-the-advantage-o | python, pandas, dataframe, python-polars | 1,698,931,389 |
se_78609465 | stackoverflow | DATA_SCIENCE | Animating Yearly Data from Pandas in GeoPandas with Matplotlib FuncAnimation | Animating Yearly Data from Pandas in GeoPandas with Matplotlib FuncAnimation
Using this dataset of % change by state, I have merged it with a cartographic boundary map of US states from the Census department: https://www2.census.gov/geo/tiger/GENZ2018/shp/cb_2018_us_state_500k.zip
df.head()
Year 2017 2018 ... | https://stackoverflow.com/questions/78609465/animating-yearly-data-from-pandas-in-geopandas-with-matplotlib-funcanimation | python, pandas, matplotlib, geopandas, matplotlib-animation | 1,718,134,606 |
se_63195643 | stackoverflow | DATA_SCIENCE | Text cleaning: removing dates from text, where there are | Text cleaning: removing dates from text, where there are
I would need to clean some text which may contain a sequence like this:
Date Text
2020-06-01 1 giu 2020 - Per farlo hai messo in atto un pia...
2020-06-01 La trappola del Paragone
2020-06-05 5 giu 2020 - sistema Aegis Ashore? N...
2020-06-05 Lewis... | https://stackoverflow.com/questions/63195643/text-cleaning-removing-dates-from-text-where-there-are | python, regex, pandas | 1,596,212,739 |
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