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_79790995 | stackoverflow | DATA_SCIENCE | Failing to fill empty date values with numpy nan | Failing to fill empty date values with numpy nan
I have below code
import pandas as pd
import numpy as np
dat = pd.DataFrame({'A' : [1,2,3,4,5], 'B' : ['2002-01-01', '2003-01-01', '2004-01-01', '2004-01-01', '2005-01-01']})
dat['B'] = pd.to_datetime(dat['B'])
dat['A'] = np.where(
dat['A'].isin([1... | https://stackoverflow.com/questions/79790995/failing-to-fill-empty-date-values-with-numpy-nan | python, pandas | 1,760,520,483 |
se_79790533 | stackoverflow | DATA_SCIENCE | How to write a pandas-compatible, non-elementary expression in narwhals | How to write a pandas-compatible, non-elementary expression in narwhals
I'm working with the narwhals package and I'm trying to write an expression that is:
applied over groups using .over()
Non-elementary/chained (longer than a single operation)
Works when the native df is pandas
import narwhals as nw
import polars... | https://stackoverflow.com/questions/79790533/how-to-write-a-pandas-compatible-non-elementary-expression-in-narwhals | python, pandas, dataframe, python-polars, python-narwhals | 1,760,468,856 |
se_78273394 | stackoverflow | DATA_SCIENCE | Add exception handler and continue code execution | Add exception handler and continue code execution
I have this Python code used to read files:
import pandas as pd
metadata_files = []
csv_df = pd.DataFrame()
meta_files_list = (pd.read_csv(file, encoding='utf-8', sep=";") for file in metadata_files)
meta_files_df = pd.concat(meta_files_list, ignore_index=True)
Somet... | https://stackoverflow.com/questions/78273394/add-exception-handler-and-continue-code-execution | python, pandas | 1,712,228,560 |
se_78485326 | stackoverflow | DATA_SCIENCE | Pandas Extract Phone Number if it is in Correct Format | Pandas Extract Phone Number if it is in Correct Format
I have a column that has phone numbers. They are usually formatted in (555) 123-4567 but sometimes they are in a different format or they are not proper numbers. I am trying to convert this field to have just the numbers, removing any non-numeric characters (if th... | https://stackoverflow.com/questions/78485326/pandas-extract-phone-number-if-it-is-in-correct-format | python, pandas, regex, dataframe, text-extraction | 1,715,790,927 |
se_79790517 | stackoverflow | DATA_SCIENCE | Create an incremental suffix for values in a pandas column that have duplicate values in another column | Create an incremental suffix for values in a pandas column that have duplicate values in another column
Setup
I have a dataframe, df
import pandas as pd
df = pd.DataFrame(
{
'Name':['foo','foo','foo','bar','bar','bar','baz','baz','baz'],
'Color':['red','blue','red','green','green','blue','yellow',... | https://stackoverflow.com/questions/79790517/create-an-incremental-suffix-for-values-in-a-pandas-column-that-have-duplicate-v | python, pandas, dataframe | 1,760,467,762 |
se_12850345 | stackoverflow | DATA_SCIENCE | How do I combine two dataframes? | How do I combine two dataframes?
I have a initial dataframe D. I extract two data frames from it like this:
A = D[D.label == k]
B = D[D.label != k]
I want to combine A and B into one DataFrame. The order of the data is not important. However, when we sample A and B from D, they retain their indexes from D. | https://stackoverflow.com/questions/12850345/how-do-i-combine-two-dataframes | python, pandas | 1,349,999,617 |
se_52904433 | stackoverflow | DATA_SCIENCE | How to add/subtract an array of varying Month timedeltas in Pandas? | How to add/subtract an array of varying Month timedeltas in Pandas?
I wish to subtract some number of months from a datetime column. Each row has a different number of months to subtract. For example,
df = pd.DataFrame({
'timestamp': pd.date_range('2017-10-01', '2018-10-01', freq='m'),
'delta_in_months': [1, ... | https://stackoverflow.com/questions/52904433/how-to-add-subtract-an-array-of-varying-month-timedeltas-in-pandas | python, pandas, dataframe, datetime, datetimeoffset | 1,540,029,304 |
se_79789768 | stackoverflow | DATA_SCIENCE | Increase the date by number of months in pandas | Increase the date by number of months in pandas
I have below pandas data frame
import pandas as pd
import numpy as np
dat = pd.DataFrame({'A' : [1,2,3,4,5], 'B' : ['2002-01-01', '2003-01-01', '2004-01-01', '2004-01-01', '2005-01-01']})
dat['A'] = dat['A'].astype('Int64')
Now I want to create another date column from ... | https://stackoverflow.com/questions/79789768/increase-the-date-by-number-of-months-in-pandas | python, pandas, dataframe | 1,760,409,862 |
se_65327510 | stackoverflow | DATA_SCIENCE | Creating a scatterplot for a grouped pandas dataframe | Creating a scatterplot for a grouped pandas dataframe
I have a Pandas DataFrame where I want to group by a certain column. Afterwards, I want to make a scatterplot of this grouped dataframe. However if I do so I get an error, because the column I group by is nog recognized.
# Data loading, processing and for more
impo... | https://stackoverflow.com/questions/65327510/creating-a-scatterplot-for-a-grouped-pandas-dataframe | python, pandas, dataframe, matplotlib, scatter-plot | 1,608,136,992 |
se_58260771 | stackoverflow | DATA_SCIENCE | How to show first+last N rows of a DataFrame | How to show first+last N rows of a DataFrame
I am looking for the best way to quickly preview the first and last N rows of a DataFrame at the same time.
I realize I can use df.head(N) and df.tail(N) separately but this returns two DataFrames. Is it best to simply call these 2 separate functions and concatenate the tw... | https://stackoverflow.com/questions/58260771/how-to-show-firstlast-n-rows-of-a-dataframe | python, pandas, dataframe | 1,570,391,813 |
se_30912746 | stackoverflow | DATA_SCIENCE | Pandas remove null values when to_json | Pandas remove null values when to_json
i have actually a pandas dataframe and i want to save it to json format.
From the pandas docs it says:
Note NaN‘s, NaT‘s and None will be converted to null and datetime
objects will be converted based on the date_format and date_unit
parameters
Then using the orient op... | https://stackoverflow.com/questions/30912746/pandas-remove-null-values-when-to-json | python, json, pandas | 1,434,622,978 |
se_79789223 | stackoverflow | DATA_SCIENCE | Why is there a duplicate index when using sort_index() in pandas? | Why is there a duplicate index when using sort_index() in pandas?
I am doing target mean mapping based on an external statistical table, where org_ is the external data and merged_data is the set of training data and test data. After processing, the features of merged_data and org_ are exactly the same, and then fed i... | https://stackoverflow.com/questions/79789223/why-is-there-a-duplicate-index-when-using-sort-index-in-pandas | python, pandas, machine-learning | 1,760,355,424 |
se_79788916 | stackoverflow | DATA_SCIENCE | Is there a way in Python to make a row of an HTML table multi-lined? | Is there a way in Python to make a row of an HTML table multi-lined?
I have a Python script that constructs a pandas DataFrame from API data, which I then convert to a pretty_html_table that will be the body of an email. In one of the rows, I have data containing an address. It is formatted as follows
Street Address: ... | https://stackoverflow.com/questions/79788916/is-there-a-way-in-python-to-make-a-row-of-an-html-table-multi-lined | python, pandas, dataframe | 1,760,328,704 |
se_33680666 | stackoverflow | DATA_SCIENCE | Creating a new pandas column by using lambda function on two existing columns | Creating a new pandas column by using lambda function on two existing columns
I am able to add a new column in Pandas by defining user function and then using apply. However, I want to do this using lambda; is there a way around?
For example, df has two columns a and b. I want to create a new column c which is equal t... | https://stackoverflow.com/questions/33680666/creating-a-new-pandas-column-by-using-lambda-function-on-two-existing-columns | python, pandas, dataframe, function, apply | 1,447,359,961 |
se_79783950 | stackoverflow | DATA_SCIENCE | How to pivot a Pandas dataframe into the desired format? | How to pivot a Pandas dataframe into the desired format?
I have the following data in a dataframe:
Product t_Proj CFType1 CFType2 CFType3
0 Product1 0 270 193 130
1 Product1 1 233 197 362
2 Product1 2 130 278 375
3 Product1 3 162 365 225
4 Product1 4 278 138 214
5 Product1 ... | https://stackoverflow.com/questions/79783950/how-to-pivot-a-pandas-dataframe-into-the-desired-format | python, pandas, dataframe, pivot, pivot-table | 1,759,773,285 |
se_64664878 | stackoverflow | DATA_SCIENCE | apply relativedelta to a column of dates | apply relativedelta to a column of dates
below is my df
import pandas as pd
df = pd.DataFrame({'Date': ['2014-03-27', '2014-03-28', '2014-03-31', '2014-04-01', '2014-04-02', '2014-04-03', '2014-04-04', '2014-04-07','2014-04-08', '2014-04-09']})
I can create a column with another date which is two months prior to the... | https://stackoverflow.com/questions/64664878/apply-relativedelta-to-a-column-of-dates | python, pandas, datetime, vectorization | 1,604,414,145 |
se_60197113 | stackoverflow | DATA_SCIENCE | pandas calculate delta time | pandas calculate delta time
Here's some code where that will generate some random data, and chart plus lines representing 30th & 90th percentiles.
import pandas as pd
import numpy as np
from numpy.random import randint
import matplotlib.pyplot as plt
%matplotlib inline
np.random.seed(10) # added for reproductibility... | https://stackoverflow.com/questions/60197113/pandas-calculate-delta-time | python, pandas, data-science | 1,581,542,785 |
se_22923775 | stackoverflow | DATA_SCIENCE | Calculate Time Difference Between Two Pandas Columns in Hours and Minutes | Calculate Time Difference Between Two Pandas Columns in Hours and Minutes
I have two columns, fromdate and todate, in a dataframe.
import pandas as pd
data = {'todate': [pd.Timestamp('2014-01-24 13:03:12.050000'), pd.Timestamp('2014-01-27 11:57:18.240000'), pd.Timestamp('2014-01-23 10:07:47.660000')],
'fromda... | https://stackoverflow.com/questions/22923775/calculate-time-difference-between-two-pandas-columns-in-hours-and-minutes | python, pandas, datetime, python-datetime, timedelta | 1,396,907,370 |
se_67153936 | stackoverflow | DATA_SCIENCE | Use Sqlalchemy to Connect SQL Server - Pandas | Use Sqlalchemy to Connect SQL Server - Pandas
Try to write the dataframe into DB, but getting the error below.
Create Dataframe
import pandas as pd
d = {'col1': [1, 2], 'col2': ['VIP', 'Eco']}
df = pd.DataFrame(data=d)
Connect to SQL Server at Azure
from sqlalchemy import create_engine
engine = create_engine
('mssql... | https://stackoverflow.com/questions/67153936/use-sqlalchemy-to-connect-sql-server-pandas | python, sql-server, pandas, sqlalchemy | 1,618,784,328 |
se_79787585 | stackoverflow | DATA_SCIENCE | How to combine multiple rows of Pandas dataframe into one row using a key | How to combine multiple rows of Pandas dataframe into one row using a key
I am trying to manipulate a CSV using Pandas and I need to get the data into the format of one row per ID.
This is an example of what I am trying to accomplish:
From:
df = pd.DataFrame({
'ID': [1, 1, 1, 2, 2, 3, 4, 4, 5, 5, 5, 5, 6, 7],
'Color'... | https://stackoverflow.com/questions/79787585/how-to-combine-multiple-rows-of-pandas-dataframe-into-one-row-using-a-key | python, pandas, dataframe, csv, group-by | 1,760,117,183 |
se_39067831 | stackoverflow | DATA_SCIENCE | DataFrame with MultiIndex to nested dictionary | DataFrame with MultiIndex to nested dictionary
I have a dataframe with a MultiIndex.
01.01 02.01 03.01 04.01
bar total1 40 52 18 11
total2 36 85 5 92
baz total1 23 39 45 70
total2 50 49 51 65
foo total1 23 97 17 97... | https://stackoverflow.com/questions/39067831/dataframe-with-multiindex-to-nested-dictionary | pandas, dictionary, group-by, nested, multi-index | 1,471,806,125 |
se_79787051 | stackoverflow | DATA_SCIENCE | python plotly scatter ols trendline has a kink in it | python plotly scatter ols trendline has a kink in it
I am using plotly express to model some data, and wanted to add a trendline = 'ols' to it.
when I do, I obtain a kink in the result
here is the code used:
d={'category': {63: 'test', 128: 'test', 192: 'test', 256: 'test', 320: 'test', 385: 'test', 449: 'test', 513:... | https://stackoverflow.com/questions/79787051/python-plotly-scatter-ols-trendline-has-a-kink-in-it | python, pandas, plotly, trendline | 1,760,077,811 |
se_79786581 | stackoverflow | DATA_SCIENCE | Using .loc to change a value in a pd.Dataframe with a variable as column name | Using .loc to change a value in a pd.Dataframe with a variable as column name
I need to change a value in a pd dataframe with .loc
let show with an example :
import pandas as pd
df = pd.DataFrame(data={"A":["bla","bla2"],"B":[1,2]})
I would like to do:
df.loc[df.A=="bla","B"]=3
This command perform what I want but I... | https://stackoverflow.com/questions/79786581/using-loc-to-change-a-value-in-a-pd-dataframe-with-a-variable-as-column-name | python, pandas | 1,760,023,419 |
se_47152691 | stackoverflow | DATA_SCIENCE | How can I pivot a dataframe? | How can I pivot a dataframe?
How do I pivot the pandas dataframe below such that the col values become columns, row values become the index, and mean of val0 becomes the values? (In some cases this is called transforming from long-format to wide-format.)
Consider a dataframe df with columns 'key', 'row', 'item', 'col'... | https://stackoverflow.com/questions/47152691/how-can-i-pivot-a-dataframe | python, pandas, group-by, pivot, pivot-table | 1,510,041,628 |
se_79786055 | stackoverflow | DATA_SCIENCE | Why does changing a DataFrame in one Jupyter cell also change another variable? | Why does changing a DataFrame in one Jupyter cell also change another variable?
I am working in Jupyter Notebook with pandas, and I noticed something strange.
In one cell , I did this:
import pandas as pd
df1 = pd.DataFrame({"A":[1,2,3]})
df2 = df1
Then in another cell, I changed df2:
df2.loc[0,"A"] = 100
But when ... | https://stackoverflow.com/questions/79786055/why-does-changing-a-dataframe-in-one-jupyter-cell-also-change-another-variable | python, pandas, dataframe, jupyter-notebook, copy | 1,759,988,089 |
se_42708193 | stackoverflow | DATA_SCIENCE | When pivoting a Pandas dataframe, how do I make the column names the same as in R? (flat, label in column names) | When pivoting a Pandas dataframe, how do I make the column names the same as in R? (flat, label in column names)
I have a dataframe (df) that looks like this:
+---------+-------+------------+----------+
| subject | pills | date | strength |
+---------+-------+------------+----------+
| 1 | 4 | 10/10/20... | https://stackoverflow.com/questions/42708193/when-pivoting-a-pandas-dataframe-how-do-i-make-the-column-names-the-same-as-in | python, pandas, pivot, reshape | 1,489,106,887 |
se_79785896 | stackoverflow | DATA_SCIENCE | Reconfigure a Pandas Dataframe | Reconfigure a Pandas Dataframe
Our old ERP system generates orphaned HTML reports with the following format which I import into Pandas
Work Order Item Type Material Labor
0 552603 Budget 71119 4567
1 552603 Actual 34745 212
2 789101 Budget 580 4522
3 789101 Act... | https://stackoverflow.com/questions/79785896/reconfigure-a-pandas-dataframe | python, pandas, dataframe, data-engineering | 1,759,962,394 |
se_56948444 | stackoverflow | DATA_SCIENCE | A vectorized approach to create a new column in pandas dataframe with a value from another column but not same row | A vectorized approach to create a new column in pandas dataframe with a value from another column but not same row
I need to create a new column from the existing values of a column, based on on a matching condition with another column. But the value to be filled may or may not from the same row.
I have implemented th... | https://stackoverflow.com/questions/56948444/a-vectorized-approach-to-create-a-new-column-in-pandas-dataframe-with-a-value-fr | python, pandas, database, dataframe | 1,562,661,155 |
se_79784978 | stackoverflow | DATA_SCIENCE | Importing a table from a webpage as a dataframe in Python | Importing a table from a webpage as a dataframe in Python
I am trying to read in a specific table from the US Customs and Border Protection's Dashboard on Southwest Land Border Encounters as a dataframe.
The url is: https://www.cbp.gov/newsroom/stats/southwest-land-border-encounters. I am particularly interested in th... | https://stackoverflow.com/questions/79784978/importing-a-table-from-a-webpage-as-a-dataframe-in-python | python, pandas, web-scraping | 1,759,877,812 |
se_79785397 | stackoverflow | DATA_SCIENCE | Why does Pandas not recognise my sqlalchemy connection engine? | Why does Pandas not recognise my sqlalchemy connection engine?
I'm trying to connect to an IBM DB2 database from Python. I'm using Python 3.12.10, SQLAlchemy 1.4.54, and Pandas 2.3.2. This is what my code looks like:
import os
import sqlalchemy
import pandas as pd
from keyring import get_credential
if os.name == "nt"... | https://stackoverflow.com/questions/79785397/why-does-pandas-not-recognise-my-sqlalchemy-connection-engine | python, pandas, sqlalchemy, db2 | 1,759,922,344 |
se_30718231 | stackoverflow | DATA_SCIENCE | Aggregating in pandas groupby using lambda functions | Aggregating in pandas groupby using lambda functions
I have an aggregation statement below:
data = data.groupby(['type', 'status', 'name']).agg({
'one' : np.mean,
'two' : lambda value: 100* ((value>32).sum() / reading.mean()),
'test2': lambda value: 100* ((value > 45).sum() / value.mean())
})
I get KeyE... | https://stackoverflow.com/questions/30718231/aggregating-in-pandas-groupby-using-lambda-functions | python, pandas, numpy, lambda, group-by | 1,433,794,366 |
se_77900971 | stackoverflow | DATA_SCIENCE | pandas FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version | pandas FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version
In order to print dataframes nicely using tabulate, so that NaN and NaT are printed as empty cells, I've been using this successfully:
print(tabulate(df.astype(object).fillna("")))
Now, t... | https://stackoverflow.com/questions/77900971/pandas-futurewarning-downcasting-object-dtype-arrays-on-fillna-ffill-bfill | python, pandas, downcast | 1,706,543,690 |
se_77962778 | stackoverflow | DATA_SCIENCE | How to delete CELLS and shift to right in Pandas Dataframe | How to delete CELLS and shift to right in Pandas Dataframe
So I have a below table
P Q R
| -------- | --------| --------
| Performan| Dispite | Cammmr
| Dispo | camera | battery
| Perfumo | Displu | Cammmmt
| Disper | camera | battery
| Dispite | camera | battery
so I want the... | https://stackoverflow.com/questions/77962778/how-to-delete-cells-and-shift-to-right-in-pandas-dataframe | python, pandas, startswith | 1,707,405,385 |
se_79780171 | stackoverflow | DATA_SCIENCE | Different Date Formats In Same Column | Different Date Formats In Same Column
I've a dataset having a column: Joining_date with different date formats. I want to convert them in a one same date format
df['Joining_Date']
0 2016-10-26
2 16/08/2018
3 2017/06/28
6 2021-05-29
9 01-28-13
12 2021-05-26
13 2018-04-06... | https://stackoverflow.com/questions/79780171/different-date-formats-in-same-column | python, pandas, datetime-format | 1,759,328,466 |
se_69230690 | stackoverflow | DATA_SCIENCE | How to increase row height in Pandas? | How to increase row height in Pandas?
There are good answers on how to change column width in pandas dataframes, for example here but I couldn't find anything describing how we can change row height?
I'm trying to view two long texts side by side to compare them and I'd like to increase the row height to make it easie... | https://stackoverflow.com/questions/69230690/how-to-increase-row-height-in-pandas | python, pandas, nlp | 1,631,925,292 |
se_79784134 | stackoverflow | DATA_SCIENCE | How to count pandas DataFrame cells using unique cell values as rows and columns | How to count pandas DataFrame cells using unique cell values as rows and columns
Let's say I have a DataFrame df like this:
pd.DataFrame({'Planet':['Planet_1','Planet_1','Planet_2','Planet_2','Planet_3','Planet_3'],'FeatureType':['Lake','Lake','Crater','Volcano','Lake','Canyon'],'FeatureName':['Floop','Xoop','Goop','Z... | https://stackoverflow.com/questions/79784134/how-to-count-pandas-dataframe-cells-using-unique-cell-values-as-rows-and-columns | python, pandas, dataframe | 1,759,793,796 |
se_79774466 | stackoverflow | DATA_SCIENCE | How to export a Jupyter Notebook with plots and rich formatting to PDF without losing formatting? | How to export a Jupyter Notebook with plots and rich formatting to PDF without losing formatting?
I am using Jupyter Notebook inside an Anaconda virtual environment and I have a notebook with multiple plots using matplotlib and pandas DataFrames with styled formatting.
When I try to export the notebook to PDF via File... | https://stackoverflow.com/questions/79774466/how-to-export-a-jupyter-notebook-with-plots-and-rich-formatting-to-pdf-without-l | python, pandas, matplotlib, pdf, jupyter-notebook | 1,758,783,700 |
se_79783318 | stackoverflow | DATA_SCIENCE | Plotly - add dropdown list or buttons to OHLC / Candlestick graph | Plotly - add dropdown list or buttons to OHLC / Candlestick graph
I have the following dataframe:
lst = [['10/01/2025 8:30:00', 2.74, 2.87, 2.60, 2.65, 14, 'SPXW251001P06590000', 'P', 6590],
['10/01/2025 8:31:00', 2.80, 2.80, 2.50, 2.53, 61, 'SPXW251001P06590000', 'P', 6590],
['10/01/2025 8:32:00', 2.45,... | https://stackoverflow.com/questions/79783318/plotly-add-dropdown-list-or-buttons-to-ohlc-candlestick-graph | python, pandas, plotly, plotly-dash | 1,759,716,961 |
se_77115274 | stackoverflow | DATA_SCIENCE | copy a dataframe to new variable with method chaining | copy a dataframe to new variable with method chaining
Is it possible to copy a dataframe in the middle of a method chain to a new variable?
Something like:
import pandas as pd
df = (pd.DataFrame([[2, 4, 6],
[8, 10, 12],
[14, 16, 18],
])
.assign(somethi... | https://stackoverflow.com/questions/77115274/copy-a-dataframe-to-new-variable-with-method-chaining | python, pandas, method-chaining | 1,694,810,787 |
se_59895729 | stackoverflow | DATA_SCIENCE | How to parse xml from requests? | How to parse xml from requests?
Here's my code, which you can run without any API key:
import requests
r = requests.get('http://api.worldbank.org/v2/country/GBR/indicator/NY.GDP.MKTP.KD.ZG')
If I print r.text, I get a string that starts with
'\ufeff<?xml version="1.0" encoding="utf-8"?>\r\n<wb:data page="1" pages="2... | https://stackoverflow.com/questions/59895729/how-to-parse-xml-from-requests | python, xml, pandas, python-requests | 1,579,866,009 |
se_53840372 | stackoverflow | DATA_SCIENCE | Error while trying to read a csv using pandas. | Error while trying to read a csv using pandas.
My xor.csv is:
x1,x2,x3,x4,y
0,0,0,0,0
0,0,0,1,1
0,0,1,0,1
0,0,1,1,0
0,1,0,0,1
0,1,0,1,0
0,1,1,0,0
0,1,1,1,1
Code to fetch this file using pandas is:
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
testing_data = pd.read_csv('..\Data_Set\xo... | https://stackoverflow.com/questions/53840372/error-while-trying-to-read-a-csv-using-pandas | python, pandas | 1,545,164,005 |
se_63904201 | stackoverflow | DATA_SCIENCE | Cleaning a dataset and removing special characters in Python | Cleaning a dataset and removing special characters in Python
I am fairly new to all of this so apologies in advance.
I've got a dataset (.csv). One column contains strings with whole sentences. These sentences contain misinterpreted utf-8 characters like ’ and emojis like 🥳.
So the dataframe (df) looks kind of li... | https://stackoverflow.com/questions/63904201/cleaning-a-dataset-and-removing-special-characters-in-python | python, pandas, data-cleaning | 1,600,180,704 |
se_79780994 | stackoverflow | DATA_SCIENCE | How to efficiently handle lookups between resampled and original DataFrames in Pandas? | How to efficiently handle lookups between resampled and original DataFrames in Pandas?
I am building a backtesting project in Python using Pandas.
I have:
A large tick / 1-minute level DataFrame (df) with full market data.
A 15-minute interval DataFrame (df_15) created from it using resampling.
In my strategy, I ca... | https://stackoverflow.com/questions/79780994/how-to-efficiently-handle-lookups-between-resampled-and-original-dataframes-in-p | python, pandas, dataframe | 1,759,414,077 |
se_67414868 | stackoverflow | DATA_SCIENCE | setting index value to np.uint64 in a panda dataframe changes its type to int64 | setting index value to np.uint64 in a panda dataframe changes its type to int64
I am trying to set the dtype on the index of a panda dataframe
import pandas as pd
import numpy as np
a = pd.DataFrame(columns=['value'])
a.loc[np.uint64(3)] = [3]
# Here I would expect to get UINT64 but it's INT64
a.index.dtype
> dtype('... | https://stackoverflow.com/questions/67414868/setting-index-value-to-np-uint64-in-a-panda-dataframe-changes-its-type-to-int64 | pandas, dataframe, uint64, dtype | 1,620,291,270 |
se_21546739 | stackoverflow | DATA_SCIENCE | Load data from txt with pandas | Load data from txt with pandas
I am loading a txt file containig a mix of float and string data. I want to store them in an array where I can access each element. Now I am just doing
import pandas as pd
data = pd.read_csv('output_list.txt', header = None)
print data
Each line in the input file looks like the followi... | https://stackoverflow.com/questions/21546739/load-data-from-txt-with-pandas | python, pandas, file-io | 1,391,500,138 |
se_70371193 | stackoverflow | DATA_SCIENCE | Map float ranges in pandas.series to strings in dictionary and save to dataframe | Map float ranges in pandas.series to strings in dictionary and save to dataframe
I would like a simple method for mapping float ranges to strings and saving back to a dataframe. I understand you can not use range() with floats.
setup df
import pandas as pd
d = [1.1, 5.6, 7.9, 6.2]
df = pd.DataFrame(data=d)
Mapping di... | https://stackoverflow.com/questions/70371193/map-float-ranges-in-pandas-series-to-strings-in-dictionary-and-save-to-dataframe | python, pandas, dataframe | 1,639,608,057 |
se_61609286 | stackoverflow | DATA_SCIENCE | How to convert rows into columns but only for part of a table in python? | How to convert rows into columns but only for part of a table in python?
I have a table which has the same structure as the below simplified example:
I would like to convert Columns 1 and 2 into column headers with values in the columns being found in C1 value and C2 value. The rest of the table needs to remain un... | https://stackoverflow.com/questions/61609286/how-to-convert-rows-into-columns-but-only-for-part-of-a-table-in-python | python, pandas, pivot-table, transpose | 1,588,668,713 |
se_76009318 | stackoverflow | DATA_SCIENCE | Python Vectorization Split String | Python Vectorization Split String
I want to use vectorization to create a column in a pandas data frame that retrieve the second/last part of a string, from each row in a column, that is split on '_'. I tried this code:
df = pd.DataFrame()
df['Var1'] = ["test1_test2","test3_test4"]
df['Var2'] = [[df['Var1'].str.split... | https://stackoverflow.com/questions/76009318/python-vectorization-split-string | python, pandas, string, split, vectorization | 1,681,415,372 |
se_79780371 | stackoverflow | DATA_SCIENCE | Pandas dataFrame standard deviation issue | Pandas dataFrame standard deviation issue
I have this details.
import pandas as pd
import numpy as np
# Sample dataset
data = {
"date": pd.date_range("2025-10-01", periods=7),
"sales": [200, 220, 250, np.nan, 300, 310, 305],
"region": ["East", "West", "East", "West", "East", "West", "East"]
}
df = pd.Data... | https://stackoverflow.com/questions/79780371/pandas-dataframe-standard-deviation-issue | python, pandas, dataframe | 1,759,343,972 |
se_62274461 | stackoverflow | DATA_SCIENCE | Converting all columns of dtype 'object' to 'float' in Python/Pandas | Converting all columns of dtype 'object' to 'float' in Python/Pandas
I wanted to convert all the 'object' type columns to another data type (float) in a dataframe without hard coding the column names. I was able to piece together some code from other answers that seems to work, but I feel like there's ... | https://stackoverflow.com/questions/62274461/converting-all-columns-of-dtype-object-to-float-in-python-pandas | python, pandas, type-conversion | 1,591,672,839 |
se_79777562 | stackoverflow | DATA_SCIENCE | Use-case for interpolation (pandas) and linear space (numpy) | Use-case for interpolation (pandas) and linear space (numpy)
What is the difference between using an interpolation in the pandas package and the linear space of the numpy package? For instance in the following:
import numpy as np
import pandas as pd
In [12]: np.linspace(1, 4, 7)
Out[12]: array([1. , 1.5, 2. , 2.5, 3... | https://stackoverflow.com/questions/79777562/use-case-for-interpolation-pandas-and-linear-space-numpy | python, pandas, numpy | 1,759,088,897 |
se_79778330 | stackoverflow | DATA_SCIENCE | Efficient way to extract substrings (like date and strike price) from filenames in Pandas | Efficient way to extract substrings (like date and strike price) from filenames in Pandas
I’m working on a project where I process a large dataset of CSV files. Each file has a name like this:
NATURALGAS21FEB25270CE.MCX and here i want to extract the following things -:
21FEB25 -DATE
270-Price
CE-type
Although there ... | https://stackoverflow.com/questions/79778330/efficient-way-to-extract-substrings-like-date-and-strike-price-from-filenames | python, pandas | 1,759,161,550 |
se_76170153 | stackoverflow | DATA_SCIENCE | Plotly: how to change z-order of traces | Plotly: how to change z-order of traces
I am having an issue with the order in which my Plotly.express and Plotly.graph_objects plots are showing up. My scatter plot is plotting in front of my grey shaded continuous errors.
I have tried manually changing the order of the traces via updating each traces position in th... | https://stackoverflow.com/questions/76170153/plotly-how-to-change-z-order-of-traces | python, pandas, plotly, plotly-express | 1,683,181,587 |
se_79778443 | stackoverflow | DATA_SCIENCE | How to transfer Python variables from one Flask view to another? | How to transfer Python variables from one Flask view to another?
I am working on a Flask app constructed as follows:
The starting HTML template, controlled by a view, displays a text box, where the user can enter a SQL request to request a SQLite database connected to the app.
In a second view, the request is execute... | https://stackoverflow.com/questions/79778443/how-to-transfer-python-variables-from-one-flask-view-to-another | python, pandas, flask | 1,759,171,304 |
se_79777919 | stackoverflow | DATA_SCIENCE | Is there a way to complement / supplement a stubs package with additional type information in a stubs file? | Is there a way to complement / supplement a stubs package with additional type information in a stubs file?
I am using pyright in strict mode and I would like to avoid littering my code with exceptions telling pyright to ignore some line. I have been using my own stub file to great success in the case of dependencies ... | https://stackoverflow.com/questions/79777919/is-there-a-way-to-complement-supplement-a-stubs-package-with-additional-type-i | python, pandas, pyright | 1,759,136,227 |
se_79777484 | stackoverflow | DATA_SCIENCE | I can not get the storms to appear on graph and it is not plotting right | I can not get the storms to appear on graph and it is not plotting right
This is what I have to do The police department has requested the creation of a Storm and Crime Data Report (SCDR) using historical data from the city of Miami for the calendar year 2024. Miami police have made a connection linking an increase in... | https://stackoverflow.com/questions/79777484/i-can-not-get-the-storms-to-appear-on-graph-and-it-is-not-plotting-right | python, pandas, matplotlib | 1,759,080,940 |
se_79777410 | stackoverflow | DATA_SCIENCE | When should I use .copy() after filtering a DataFrame in pandas? | When should I use .copy() after filtering a DataFrame in pandas?
I am working on a project where I frequently filter my DataFrame and then return it for further processing. For example, in one file I have this code:
df = df[df['Ticker'].str.startswith("NATURALGAS", na=False)].copy()
I am a bit confused about the foll... | https://stackoverflow.com/questions/79777410/when-should-i-use-copy-after-filtering-a-dataframe-in-pandas | python, pandas, copy, startswith | 1,759,072,887 |
se_79776615 | stackoverflow | DATA_SCIENCE | Find percentage of grouped variable in a Dataframe in pandas | Find percentage of grouped variable in a Dataframe in pandas
I have a dataframe where column 1 has values like 'A', 'B' etc (categorical variable) and column 2 (also a nominal categorical variable) has values like 'city 1', 'city 2' etc. I want to group by column 1 and find out percentage of 'city 1' in each category ... | https://stackoverflow.com/questions/79776615/find-percentage-of-grouped-variable-in-a-dataframe-in-pandas | python, pandas, dataframe | 1,758,961,285 |
se_50985481 | stackoverflow | DATA_SCIENCE | pandas how to add details to csv before writing a data frame | pandas how to add details to csv before writing a data frame
I need to write to a csv file that has 3-5 lines(rows) of details about the file, followed by 3 rows of blank lines before I can append a data frame.
Here is how the file should look like. (Note: lines having '#' are comments for demonstration)
some details
... | https://stackoverflow.com/questions/50985481/pandas-how-to-add-details-to-csv-before-writing-a-data-frame | python, pandas, export-to-csv | 1,529,661,583 |
se_79776565 | stackoverflow | DATA_SCIENCE | How can I calculate XIRR from irregular cash flows in Python and validate results against Excel’s XIRR function? | How can I calculate XIRR from irregular cash flows in Python and validate results against Excel’s XIRR function?
I am working on calculating the Extended Internal Rate of Return (XIRR) for a series of irregular cash flows using Python. The cash flows occur on uneven dates, and I want the result to match Excel’s XIRR f... | https://stackoverflow.com/questions/79776565/how-can-i-calculate-xirr-from-irregular-cash-flows-in-python-and-validate-result | python, pandas, finance, xirr | 1,758,955,450 |
se_57681978 | stackoverflow | DATA_SCIENCE | Python 3.x fill missing NaN values with the mode | Python 3.x fill missing NaN values with the mode
I have programmed the following dataframe in Python:
import pandas as pd
import numpy as np
def main():
x=pd.DataFrame(np.array([10,"worker","France",
20,"eng","Italy",
30,"doctor","Spain",
... | https://stackoverflow.com/questions/57681978/python-3-x-fill-missing-nan-values-with-the-mode | python, pandas | 1,566,938,462 |
se_44533880 | stackoverflow | DATA_SCIENCE | Custom pandas Datetime offset / frequency for trading times: 9:30AM-4:00PM business days except US holidays | Custom pandas Datetime offset / frequency for trading times: 9:30AM-4:00PM business days except US holidays
Trading data is recorded on non-holiday business days starting at 9:30AM, and data is recorded periodically (5 seconds, 5 minutes, 30 minutes, etc) until 4:00PM. For instance, [9:30AM, 9:35AM,...,3:50PM, 3:55PM... | https://stackoverflow.com/questions/44533880/custom-pandas-datetime-offset-frequency-for-trading-times-930am-400pm-busin | pandas, datetime, time-series, algorithmic-trading, datetimeindex | 1,497,403,031 |
se_53218931 | stackoverflow | DATA_SCIENCE | How to unnest (explode) a column in a pandas DataFrame, into multiple rows | How to unnest (explode) a column in a pandas DataFrame, into multiple rows
I have the following DataFrame where one of the columns is an object (list type cell):
df = pd.DataFrame({'A': [1, 2], 'B': [[1, 2], [1, 2]]})
Output:
A B
0 1 [1, 2]
1 2 [1, 2]
My expected output is:
A B
0 1 1
1 1 2
3 2 ... | https://stackoverflow.com/questions/53218931/how-to-unnest-explode-a-column-in-a-pandas-dataframe-into-multiple-rows | python, pandas, dataframe, pandas-explode | 1,541,729,962 |
se_12680754 | stackoverflow | DATA_SCIENCE | Split (explode) pandas dataframe string entry to separate rows | Split (explode) pandas dataframe string entry to separate rows
I have a pandas dataframe in which one column of text strings contains comma-separated values. I want to split each CSV field and create a new row per entry (assume that CSV are clean and need only be split on ','). For example, a should become b:
In [7]: ... | https://stackoverflow.com/questions/12680754/split-explode-pandas-dataframe-string-entry-to-separate-rows | python, pandas, numpy, dataframe | 1,349,124,136 |
se_79775605 | stackoverflow | DATA_SCIENCE | What is the best way in pandas (or Python) to “explode” the list of cities into separate rows? | What is the best way in pandas (or Python) to “explode” the list of cities into separate rows?
I am learning data science and working with JSON data.
Suppose I have a JSON file with provinces and their populations, but each province also has a list of cities. For example:
When I load this into pandas:
import pandas as... | https://stackoverflow.com/questions/79775605/what-is-the-best-way-in-pandas-or-python-to-explode-the-list-of-cities-into | python, pandas | 1,758,873,523 |
se_71253017 | stackoverflow | DATA_SCIENCE | Using ILIKE with parameters in Python with pd.read_sql and psycopg2 | Using ILIKE with parameters in Python with pd.read_sql and psycopg2
This query runs without problem in SQL (PostgreSQL database):
SELECT
number_column
FROM
number_table
WHERE
number_column ILIKE ANY (array[ '%57244048699%',
'%150310003808%',
... | https://stackoverflow.com/questions/71253017/using-ilike-with-parameters-in-python-with-pd-read-sql-and-psycopg2 | python, pandas, postgresql, psycopg2 | 1,645,710,632 |
se_19384532 | stackoverflow | DATA_SCIENCE | Get statistics for each group (such as count, mean, etc) using pandas GroupBy? | Get statistics for each group (such as count, mean, etc) using pandas GroupBy?
I have a dataframe df and I use several columns from it to groupby:
df[['col1','col2','col3','col4']].groupby(['col1','col2']).mean()
In the above way, I almost get the table (dataframe) that I need. What is missing is an additional column... | https://stackoverflow.com/questions/19384532/get-statistics-for-each-group-such-as-count-mean-etc-using-pandas-groupby | python, pandas, dataframe, group-by, statistics | 1,381,849,212 |
se_79774320 | stackoverflow | DATA_SCIENCE | Databricks Cleanroom: Does Invited Collaborator have capability to adjust Timeout Error Timer? | Databricks Cleanroom: Does Invited Collaborator have capability to adjust Timeout Error Timer?
I am running tests on a notebook from within Databricks' "Cleanroom" environment (therefore it is run on serverless compute managed by Databricks).
Im running into the following timeout error when running some test job runs ... | https://stackoverflow.com/questions/79774320/databricks-cleanroom-does-invited-collaborator-have-capability-to-adjust-timeou | python, pandas, pyspark, databricks, azure-databricks | 1,758,766,733 |
se_72577475 | stackoverflow | DATA_SCIENCE | How to randomly select a single value in Pandas data frame | How to randomly select a single value in Pandas data frame
I was searching forever to find an answer to this and no one seemed to have asked, so I am asking and providing my answer here.
How do you randomly select a single cell value in pandas data frame?
It is really simple. I was struggling finding the syntax for th... | https://stackoverflow.com/questions/72577475/how-to-randomly-select-a-single-value-in-pandas-data-frame | python, pandas | 1,654,879,328 |
se_79773594 | stackoverflow | DATA_SCIENCE | Overwrite Excel/CSV with pandas while file is open | Overwrite Excel/CSV with pandas while file is open
Is it possible to overwrite and save a DataFrame to an Excel or CSV file if that file is already open?
I tried using df.to_excel("file.xlsx", index=False) to overwrite an existing Excel file that I had open. I expected pandas to save the df and replace the file conten... | https://stackoverflow.com/questions/79773594/overwrite-excel-csv-with-pandas-while-file-is-open | python, pandas, dataframe, export-to-csv, export-to-excel | 1,758,709,621 |
se_79765484 | stackoverflow | DATA_SCIENCE | Why does Pandera print failing rows with pa.check() and a lambda function but not on a column check? | Why does Pandera print failing rows with pa.check() and a lambda function but not on a column check?
New to using Pandera. I want it to print the record(s) that fail the check. This is the simple check I want, fail when the system capacity is over 500:
import pandera.pandas as pa
import pandas as pd
schema = pa.DataFr... | https://stackoverflow.com/questions/79765484/why-does-pandera-print-failing-rows-with-pa-check-and-a-lambda-function-but-no | python, pandas, pandera | 1,757,960,643 |
se_62435533 | stackoverflow | DATA_SCIENCE | Converting series element to int | Converting series element to int
I have a pandas series-
3959 2019
Name: DATE, dtype: int64
which has only one element.
I wanted to convert that element to integer. I did-
for i in last_row_year.to_numpy():
last_year=i
to get last_year as 2019 (int type)
Is there a more pythonic way to do this? | https://stackoverflow.com/questions/62435533/converting-series-element-to-int | python, pandas | 1,592,416,954 |
se_61854550 | stackoverflow | DATA_SCIENCE | Pandas Compare two data frames and look for duplicate elements | Pandas Compare two data frames and look for duplicate elements
I want to compare df and df_equal.
df contains several individual data frames
import pandas as pd
df1 = pd.DataFrame([[ 'b', 'b', 'b' ]],
columns=['a', 'b', 'c'])
Output:
a b c
0 b b b
df2 = pd.DataFrame([[ 'x', 'x', ... | https://stackoverflow.com/questions/61854550/pandas-compare-two-data-frames-and-look-for-duplicate-elements | python, pandas, data-science, equality | 1,589,730,474 |
se_79772749 | stackoverflow | DATA_SCIENCE | How to set background seaborn style in a multi-plot figure with subplot() | How to set background seaborn style in a multi-plot figure with subplot()
I have a multi-plot bar plot figure produced with matplotlib/ seaborn and I'd like to control the tick lines and background style. When I try to use sns.set_style("whitegrid"), the background is grey/ not whitegrid.
Example data, similar structu... | https://stackoverflow.com/questions/79772749/how-to-set-background-seaborn-style-in-a-multi-plot-figure-with-subplot | python, pandas, matplotlib, seaborn | 1,758,638,765 |
se_61195623 | stackoverflow | DATA_SCIENCE | Python: How to save a JSON file without brackets? | Python: How to save a JSON file without brackets?
I'm trying to generate a JSON file, however it's generating with brackets which is not intended. How can I overcome this?
Code:
import pandas as pd
df = pd.DataFrame({"A": [10],
"B": [20],
"C": [30]})
df.to_json('file.json', or... | https://stackoverflow.com/questions/61195623/python-how-to-save-a-json-file-without-brackets | python, json, python-3.x, pandas | 1,586,807,496 |
se_51711750 | stackoverflow | DATA_SCIENCE | Read Relative Lines in a text document and convert to Pandas DF | Read Relative Lines in a text document and convert to Pandas DF
Working on a Python 3.6 read of a text file to extract relative lines to convert into a pandas dataframe.
What works: Searching for a phrase in a text document and converting the line into a pandas df.
import pandas as pd
df = pd.DataFrame()
list1 = []... | https://stackoverflow.com/questions/51711750/read-relative-lines-in-a-text-document-and-convert-to-pandas-df | python, pandas, search, python-3.6 | 1,533,571,913 |
se_71678938 | stackoverflow | DATA_SCIENCE | Python packages blocked by group policy | Python packages blocked by group policy
I'm trying to set up Python on my work computer. I'm able to install packages via pip after getting it unblocked. That was easy since it's just a .exe file for them to unblock.
I'm trying to use pandas/numpy and I get the error saying it was blocked by group policy. In the same ... | https://stackoverflow.com/questions/71678938/python-packages-blocked-by-group-policy | python, pandas, numpy, group-policy, applocker | 1,648,649,859 |
se_53045122 | stackoverflow | DATA_SCIENCE | Filter data based on two columns from another dataframe | Filter data based on two columns from another dataframe
I have the following two dataframes:
df = pd.DataFrame({
'id': ['1', '1', '2', '3', '3', '8','4', '1', '2', '4'],
'start': ['2017-01-01', '2017-02-01', '2017-03-01', '2017-02-01', '2017-03-01', '2017-04-01', '2017-01-01', '2017-04-01', '2017-05-01', '201... | https://stackoverflow.com/questions/53045122/filter-data-based-on-two-columns-from-another-dataframe | python, pandas, dataframe, python-3.5 | 1,540,814,619 |
se_51751961 | stackoverflow | DATA_SCIENCE | Pandas - adding a column based on multiple conditions | Pandas - adding a column based on multiple conditions
trying to add a boolean column to a df based on two mutually exclusive conditions:
df['Type'] == 'CMBX'
df['SubType'].isin(['EM','NAHY'])
they work separately
df['Px Quoted'] = np.where(df['Type'] =='CMBX', True, False)
df[df['Type']=='CMBX'].head(5)
Out[72]: ... | https://stackoverflow.com/questions/51751961/pandas-adding-a-column-based-on-multiple-conditions | python, pandas | 1,533,747,521 |
se_54652103 | stackoverflow | DATA_SCIENCE | Updating a pandas column with a dictionary lookup | Updating a pandas column with a dictionary lookup
Have a dataframe, df:
import pandas as pd
import numpy as np
i = ['dog', 'cat', 'rabbit', 'elephant'] * 3
df = pd.DataFrame(np.random.randn(12, 2), index=i, columns=list('AB'))
...and a lookup dict for column B:
b_dict = {'elephant': 2.0, 'dog': 5.0}
How can col... | https://stackoverflow.com/questions/54652103/updating-a-pandas-column-with-a-dictionary-lookup | python, pandas | 1,549,981,118 |
se_54651361 | stackoverflow | DATA_SCIENCE | Find count of a column in pandas dataframe based on condition | Find count of a column in pandas dataframe based on condition
I am using below method to find count of a pandas dataframe having 55k rows. This is included in a for loop of site list (4000 sites). It is taking many minutes to complete the loop of 4000 sites when below line is included.
for i in g_sitelist:
x = le... | https://stackoverflow.com/questions/54651361/find-count-of-a-column-in-pandas-dataframe-based-on-condition | python, python-3.x, pandas, dataframe | 1,549,978,645 |
se_55570596 | stackoverflow | DATA_SCIENCE | get count of entries less or equal in Series | get count of entries less or equal in Series
I want to get the count of all elements less or equal to each entry in a pandas.Series eg:
if __name__ == '__main__':
import pandas as pd
a = pd.Series(data=[4,7,3,5,2,1,1,6])
le = pd.Series(data=[a[a <= i].count() for i in a])
print(le)
Result:
0 5
1... | https://stackoverflow.com/questions/55570596/get-count-of-entries-less-or-equal-in-series | python, pandas | 1,554,716,846 |
se_41624241 | stackoverflow | DATA_SCIENCE | Pandas Split Dataframe into two Dataframes at a specific column | Pandas Split Dataframe into two Dataframes at a specific column
I have pandas DataFrame which I have composed from concat. One row consists of 96 values, I would like to split the DataFrame from the value 72.
So that the first 72 values of a row are stored in Dataframe1, and the next 24 values of a row in Dataframe2.... | https://stackoverflow.com/questions/41624241/pandas-split-dataframe-into-two-dataframes-at-a-specific-column | python, pandas, numpy, dataframe | 1,484,260,423 |
se_24685012 | stackoverflow | DATA_SCIENCE | Renaming multiple identically named columns in Pandas DataFrame | Renaming multiple identically named columns in Pandas DataFrame
I have several columns named the same in a df. I need to rename them but the problem is that the df.rename method renames them all the same way. How I can rename the below blah(s) to blah1, blah4, blah5?
df = pd.DataFrame(np.arange(2*5).reshape(2,5))
df.c... | https://stackoverflow.com/questions/24685012/renaming-multiple-identically-named-columns-in-pandas-dataframe | python, pandas | 1,405,021,573 |
se_53054694 | stackoverflow | DATA_SCIENCE | Python Dataframe that calculate percentage change by lambda | Python Dataframe that calculate percentage change by lambda
How could I calculate the percentage change in python dataframe using lambda?
The dataframe:
and I would like to calculate the percentage change of volume of each row.
The result should be like:
I tried that:
df.Volume.map(lambda x: ((df.Volumne.iloc[i+1])-... | https://stackoverflow.com/questions/53054694/python-dataframe-that-calculate-percentage-change-by-lambda | python, pandas, lambda | 1,540,851,432 |
se_79770363 | stackoverflow | DATA_SCIENCE | Tiingo Python Pandas Datetime | Tiingo Python Pandas Datetime
I am grabbing OHLC stock price data from tiingo using the following code:
df = get_tiingo_data(ticker, start_date="1990-01-01", end_date="2025-12-31")
Which calls this function:
def get_tiingo_data(ticker, start_date, end_date):
url = f"https://api.tiingo.com/tiingo/daily/{ticker}/pri... | https://stackoverflow.com/questions/79770363/tiingo-python-pandas-datetime | python, pandas, tiingo | 1,758,379,248 |
se_58521976 | stackoverflow | DATA_SCIENCE | psycopg2 error : literal carriage return found in data | psycopg2 error : literal carriage return found in data
I am trying to push data from a python dataframe to Postgres database using psycopg2 and sqlalchemy.
This is the script -
from sqlalchemy import create_engine
import psycopg2 as pg
import io
address = 'postgresql://username:password@dbname.endpoint.rds.amazonaws... | https://stackoverflow.com/questions/58521976/psycopg2-error-literal-carriage-return-found-in-data | python, pandas, postgresql, csv, psycopg2 | 1,571,830,542 |
se_79769815 | stackoverflow | DATA_SCIENCE | Some pieces are missing in my Python First Fit Decreasing bar cutting algorithm | Some pieces are missing in my Python First Fit Decreasing bar cutting algorithm
I'm implementing a bar cutting optimization in Python using the First Fit Decreasing (FFD) algorithm. I have a list of orders, each with a quantity and length. The code should allocate all pieces into bars of fixed length (6000mm) and gene... | https://stackoverflow.com/questions/79769815/some-pieces-are-missing-in-my-python-first-fit-decreasing-bar-cutting-algorithm | python, pandas | 1,758,304,415 |
se_79769512 | stackoverflow | DATA_SCIENCE | Tring to get data from yfinance for timeframe for 2 days, but getting an error when aggreagating the data | Tring to get data from yfinance for timeframe for 2 days, but getting an error when aggreagating the data
I'm trying to get some data with yfinance, but I'm trying to get the timeframe for 2 days, which doesn't exist by default for yfinance. So, I tried to agreggate 1 day + 1 day. But I'm getting an error in trying to... | https://stackoverflow.com/questions/79769512/tring-to-get-data-from-yfinance-for-timeframe-for-2-days-but-getting-an-error-w | python, pandas, dataframe, yfinance | 1,758,285,666 |
se_56669718 | stackoverflow | DATA_SCIENCE | How to get the source code for property in python | How to get the source code for property in python
I want to programmatically get the source code for a given class property (e.g., pandas.DataFrame.iloc). I tried using inspect.findsource(), which works fine for classes and functions. However, it doesn't work for properties.
import pandas
import inspect
type(pandas.... | https://stackoverflow.com/questions/56669718/how-to-get-the-source-code-for-property-in-python | python, pandas, python-inspect | 1,560,953,343 |
se_79754742 | stackoverflow | DATA_SCIENCE | How to read LZO compressed pandas HDF5 files? | How to read LZO compressed pandas HDF5 files?
Here is the situation: I have data saved into pandas HDF5 files. Some data is compressed using lzo and some using blosc:zstd. Under RHEL-7, I was able to read both types of files. Then, I was forcefully upgraded to RHEL-8 by our IT. Since then, I can only read blosc:zstd c... | https://stackoverflow.com/questions/79754742/how-to-read-lzo-compressed-pandas-hdf5-files | pandas, hdf5, pytables, lzo, blosc | 1,756,910,199 |
se_79769175 | stackoverflow | DATA_SCIENCE | Convert dataframe of boolean values to list of ranges where value is True. (eg. output: "column-header, 24-79") | Convert dataframe of boolean values to list of ranges where value is True. (eg. output: "column-header, 24-79")
My goal is to compare the contents of two 2-d arrays (~15k rows, 8 columns) and get a list of the rows/columns where the comparison (greater-than) is true. I need that output in a readable format, ... | https://stackoverflow.com/questions/79769175/convert-dataframe-of-boolean-values-to-list-of-ranges-where-value-is-true-eg | python, pandas, tuples | 1,758,262,129 |
se_77899043 | stackoverflow | DATA_SCIENCE | How to catch DateParseError in pandas? | How to catch DateParseError in pandas?
I am running a script that uses pd.to_datetime() on inputs that are sometime not able to be parsed.
For example if I try to run pd.to_datetime('yesterday') it results to an error
DateParseError: Unknown datetime string format, unable to parse: yesterday, at position 0
I 'd like t... | https://stackoverflow.com/questions/77899043/how-to-catch-dateparseerror-in-pandas | python, pandas, python-datetime | 1,706,524,314 |
se_79768568 | stackoverflow | DATA_SCIENCE | Conditionally updating values in the same dataframe, getting ValueError: Can only compare identically-labeled Series objects | Conditionally updating values in the same dataframe, getting ValueError: Can only compare identically-labeled Series objects
I'm trying to update a DataFrame value in place and unable to do so. I've tried several different methods, none of which have worked. Looking up information online only gets me examples of compa... | https://stackoverflow.com/questions/79768568/conditionally-updating-values-in-the-same-dataframe-getting-valueerror-can-onl | python, pandas, dataframe | 1,758,205,349 |
se_79768990 | stackoverflow | DATA_SCIENCE | Saving a figure with the name of passed dataframe | Saving a figure with the name of passed dataframe
I have a function that receives a pandas dataframe as an argument, plot it, and save the generated figure with the name of passed dataframe. .
For instance this is the function:
def plot_function(df):
plt.figure(figsize=(8, 5))
plt.bar(df["x"], df["y"])
plt... | https://stackoverflow.com/questions/79768990/saving-a-figure-with-the-name-of-passed-dataframe | python, pandas, matplotlib | 1,758,236,745 |
se_79768902 | stackoverflow | DATA_SCIENCE | Sort each row of a pandas column consisting of delimited strings | Sort each row of a pandas column consisting of delimited strings
CONTEXT
Let's say I have df, which consists of a column of delimited strings that I would like to sort.
import pandas as pd
df = pd.DataFrame({'sort_me':['foo; bar','foo; bar','bar; foo']})
df
sort_me
0 foo; bar
1 foo; bar
2 bar; foo
DESIR... | https://stackoverflow.com/questions/79768902/sort-each-row-of-a-pandas-column-consisting-of-delimited-strings | python, pandas, dataframe, list, sorting | 1,758,228,442 |
se_79768855 | stackoverflow | DATA_SCIENCE | Adding subtotals to a pandas dataframe | Adding subtotals to a pandas dataframe
I was looking to add subtotals to a pandas dataframe - a question which I found to be asked here often. The answers making use of the deprecated pd.append aren't relevant anymore so I figured a more up-to-date version could be useful, not only for me, but for others as well.
The ... | https://stackoverflow.com/questions/79768855/adding-subtotals-to-a-pandas-dataframe | python, pandas, dataframe, subtotal | 1,758,223,838 |
se_53893554 | stackoverflow | DATA_SCIENCE | Transfer and write Parquet with python and pandas got timestamp error | Transfer and write Parquet with python and pandas got timestamp error
I tried to concat() two parquet file with pandas in python .
It can work , but when I try to write and save the Data frame to a parquet file ,it display the error :
ArrowInvalid: Casting from timestamp[ns] to timestamp[ms] would lose data:
I c... | https://stackoverflow.com/questions/53893554/transfer-and-write-parquet-with-python-and-pandas-got-timestamp-error | python, pandas, parquet | 1,545,460,258 |
se_79767967 | stackoverflow | DATA_SCIENCE | Making matplotlib boxplot include columns with NaN values | Making matplotlib boxplot include columns with NaN values
I've been trying to plot a data frame as a box plot using matplotlib. My data frame looks something like this:
9-1 9-2 9-3 9-4 9-5
0 23 16.0 18.0 18.0 26
1 27 18.0 20.0 17.0 33
2 10 9.0 15.0 8.0 30
3 23 30.0 19.0 5.0 15
... | https://stackoverflow.com/questions/79767967/making-matplotlib-boxplot-include-columns-with-nan-values | pandas, dataframe, matplotlib, nan, boxplot | 1,758,167,573 |
se_59840150 | stackoverflow | DATA_SCIENCE | Google Analytics Data to Pandas Dataframe | Google Analytics Data to Pandas Dataframe
I'm trying to send google analytics data to a pandas dataframe using the google analytics api. I've followed along the code examples that are available in the official documentation and I now have code that manages to print out the data that I need. I need help figuring out ho... | https://stackoverflow.com/questions/59840150/google-analytics-data-to-pandas-dataframe | python, python-3.x, pandas, dataframe, google-analytics-api | 1,579,606,051 |
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