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_79995432 | stackoverflow | DATA_SCIENCE | xarray change subset of values of Dataset variable obtained from pandas DataFrame inconsistent with pandas v3 | xarray change subset of values of Dataset variable obtained from pandas DataFrame inconsistent with pandas v3
The following is from the xarray documentation on "Assigning values with indexing":
ds = xr.tutorial.open_dataset("air_temperature") # requires pooch
# add an empty 2D dataarray
ds["empty"] = xr.full_like(ds.... | https://stackoverflow.com/questions/79995432/xarray-change-subset-of-values-of-dataset-variable-obtained-from-pandas-datafram | python, pandas, python-xarray | 1,786,828,762 |
se_79995253 | stackoverflow | DATA_SCIENCE | Create a new column in pandas conditionally based on two other columns that may have overlapping values | Create a new column in pandas conditionally based on two other columns that may have overlapping values
In a dataset that contains X and Y coordinates, I want to assign a value in a new column based on the (X,Y) pair in a given row. Imagine a data set that contains the red points shown in the image below:
Above, the ... | https://stackoverflow.com/questions/79995253/create-a-new-column-in-pandas-conditionally-based-on-two-other-columns-that-may | python, pandas, numpy | 1,786,759,916 |
se_66265804 | stackoverflow | DATA_SCIENCE | Convert lists of Coordinates to Polygons with GeoPandas | Convert lists of Coordinates to Polygons with GeoPandas
I got lists of coordinates in the csv file(please click the pic). How should I convert them to polygons in GeoDataFrame?
Below is the coordinates of one polygon and I have thousands rows of this.
[118.103198,24.527338],[118.103224,24.527373],[118.103236,24.527366... | https://stackoverflow.com/questions/66265804/convert-lists-of-coordinates-to-polygons-with-geopandas | python, pandas, geopandas | 1,613,672,166 |
se_78484934 | stackoverflow | DATA_SCIENCE | How can I do a rolling product of a non-fixed frequency? | How can I do a rolling product of a non-fixed frequency?
I am trying to do a simple rolling multiplication of a dataframe. (Each new value should be the product of all the input values in the window.) Realizing that rolling does not allow for products, I tried to look for alternate solutions but they seem not to work ... | https://stackoverflow.com/questions/78484934/how-can-i-do-a-rolling-product-of-a-non-fixed-frequency | python, pandas, rolling-computation | 1,715,786,413 |
se_75478619 | stackoverflow | DATA_SCIENCE | On Linux, use Python to edit excel file that contains formulas and then read the resulting values | On Linux, use Python to edit excel file that contains formulas and then read the resulting values
So I have an excel file (.xlsx) on a Linux machine, and that excel file contains cells with formulas. What I would like to do is edit an input cell's value (i.e. not a formula cell, just a regular cell that contains a sim... | https://stackoverflow.com/questions/75478619/on-linux-use-python-to-edit-excel-file-that-contains-formulas-and-then-read-the | python, python-3.x, pandas, openpyxl, xlwings | 1,676,587,241 |
se_79993566 | stackoverflow | DATA_SCIENCE | Filter out rows from a DataFrame if value in columns X and Y match MultiIndex A and B | Filter out rows from a DataFrame if value in columns X and Y match MultiIndex A and B
I have a DataFrame "A" containing the results of searching a database of test data such that:
TEST RECORDING FILENAME
0 1 1 qwer.xlsx
1 1 2 asdf.xlsx
2 2 1 zxcv.xlsx
3 2 2 tyui... | https://stackoverflow.com/questions/79993566/filter-out-rows-from-a-dataframe-if-value-in-columns-x-and-y-match-multiindex-a | python, pandas, dataframe | 1,786,551,852 |
se_79692191 | stackoverflow | DATA_SCIENCE | In Python, how to find difference between a specific column in one dataframe and numeric columns of another dataframe? | In Python, how to find difference between a specific column in one dataframe and numeric columns of another dataframe?
I have two datasets/dataframes df1 and df2, I want to generate df3 by finding the difference between numeric columns of df2 and df1's column_X.
#### copy and paste below to generate df1 and df2
impor... | https://stackoverflow.com/questions/79692191/in-python-how-to-find-difference-between-a-specific-column-in-one-dataframe-and | python, pandas, for-loop, apply | 1,751,846,436 |
se_79992093 | stackoverflow | DATA_SCIENCE | pandas running notnull() sum() versus count() against the dataframe | pandas running notnull() sum() versus count() against the dataframe
I’ve always assumed df.notnull().sum() and df.notnull().count() would return the same value.
Here is a snippet of a code for illustration:
import pandas as pd
data = { 'Name': ['Alice', 'Bob', None, 'Diane'], 'Age': [25, None, 27, 31], 'Salar... | https://stackoverflow.com/questions/79992093/pandas-running-notnull-sum-versus-count-against-the-dataframe | python, pandas, notnull | 1,786,413,061 |
se_68632108 | stackoverflow | DATA_SCIENCE | How to convert a dict into a pandas multiindex dataframe | How to convert a dict into a pandas multiindex dataframe
I´m handling distances between elements (e.g. a1,a2, ...) of different attributes (e.g. A, B, ...) and I choose a dict to store the distances. The dict has the following form:
mydict = {('A', ('a1','a2')): 1.0,
('A', ('a1','a3')): 0.5,
('A', ... | https://stackoverflow.com/questions/68632108/how-to-convert-a-dict-into-a-pandas-multiindex-dataframe | python, pandas, crosstab | 1,627,976,457 |
se_24988131 | stackoverflow | DATA_SCIENCE | Nested dictionary to multiindex dataframe where dictionary keys are column labels | Nested dictionary to multiindex dataframe where dictionary keys are column labels
Say I have a dictionary that looks like this:
dictionary = {'A': {'a': [1,2,3,4,5],
'b': [6,7,8,9,1]},
'B': {'a': [2,3,4,5,6],
'b': [7,8,9,1,2]}}
and I want a dataframe that looks so... | https://stackoverflow.com/questions/24988131/nested-dictionary-to-multiindex-dataframe-where-dictionary-keys-are-column-label | python, dictionary, pandas, dataframe, multi-index | 1,406,518,982 |
se_51828811 | stackoverflow | DATA_SCIENCE | How to convert data from txt files to Excel files using python | How to convert data from txt files to Excel files using python
I have a text file that contains data like this. It is is just a small example, but the real one is pretty similar.
I am wondering how to display such data in an "Excel Table" like this using Python? | https://stackoverflow.com/questions/51828811/how-to-convert-data-from-txt-files-to-excel-files-using-python | python, pandas | 1,534,186,319 |
se_59170655 | stackoverflow | DATA_SCIENCE | Python Pandas - Custom Calcs for Total row | Python Pandas - Custom Calcs for Total row
I have the following code which is working as desired with one exception
df['FPYear'] = df['First_Purchase_Date'].dt.year
Table2 = df.loc[df.Date.between('2014-01-01','2019-11-30')].groupby(df['FPYear'])[['New Customer', 'Existing Customer', 'revenue']].sum() #with date fil... | https://stackoverflow.com/questions/59170655/python-pandas-custom-calcs-for-total-row | python, pandas, group-by | 1,575,443,370 |
se_78225231 | stackoverflow | DATA_SCIENCE | What is the cause of my error "Expected a 2-dimensional container but got <class 'pandas.core.series.Series'> instead." | What is the cause of my error "Expected a 2-dimensional container but got <class 'pandas.core.series.Series'> instead."
My code uses scikit-learn fit. I tried to look up this error code online, but couldn't find much information about it. What I understand is that I have to make one Dataframe f... | https://stackoverflow.com/questions/78225231/what-is-the-cause-of-my-error-expected-a-2-dimensional-container-but-got-class | python, pandas, dataframe, scikit-learn | 1,711,455,089 |
se_44760256 | stackoverflow | DATA_SCIENCE | Pandas Equivalent to SQL YEAR(GETDATE()) | Pandas Equivalent to SQL YEAR(GETDATE())
I'm a Pandas newbie but decent at SQL. A function I often leverage in SQL is this:
YEAR(date_format_data) = (YEAR(GETDATE())-1)
This will get me all the data from last year. How can I do the equivalent in Pandas?
Here's some example data:
Date Number
01/01/15 1
01/02/15 ... | https://stackoverflow.com/questions/44760256/pandas-equivalent-to-sql-yeargetdate | python-3.x, sorting, date, pandas, filter | 1,498,481,665 |
se_45506038 | stackoverflow | DATA_SCIENCE | Pandas Reindex to Fill Missing Dates, or Better Method to Fill? | Pandas Reindex to Fill Missing Dates, or Better Method to Fill?
My data is absence records from a factory. Some days there are no absences so there is no data or date recorded for that day. However, and where this gets hairy with the other examples shown, is on any given day there can be several absences for various... | https://stackoverflow.com/questions/45506038/pandas-reindex-to-fill-missing-dates-or-better-method-to-fill | python, pandas, group-by | 1,501,847,231 |
se_49254224 | stackoverflow | DATA_SCIENCE | How to use RE OR Operand for Pandas RE .str.extract() | How to use RE OR Operand for Pandas RE .str.extract()
I've tried re-reading through the Python RE documentation before asking and searching around but don't see a duplicate question so far (which surprised me).
Outside of a DataFrame I have my re working example here:
x = 'my best friend's birthday is 24 Jan 2001.'
pr... | https://stackoverflow.com/questions/49254224/how-to-use-re-or-operand-for-pandas-re-str-extract | python, regex, pandas, date, operands | 1,520,938,180 |
se_70897432 | stackoverflow | DATA_SCIENCE | Calculating calendar weeks from fiscal weeks | Calculating calendar weeks from fiscal weeks
So I am really new to this and struggling with something, which I feel should be quite simple.
I have a Pandas Dataframe containing two columns: Fiscal Week (str) and Amount sold (int).
Fiscal Week
Amount sold
0
2019031
24
1
2019041
47
2
2019221
34
3
2019231
... | https://stackoverflow.com/questions/70897432/calculating-calendar-weeks-from-fiscal-weeks | python, pandas, string, datetime | 1,643,389,261 |
se_79951141 | stackoverflow | DATA_SCIENCE | Getting the average of rows based on DateTimeIndex | Getting the average of rows based on DateTimeIndex
I have a dataframe like:
Date
Number
2008-01-01
5
2008-02-01
55
2008-03-01
6
2008-04-01
10
where the DatetimeIndex is in year-month-day format. I would like to compute the average of every two consecutive Numbers. My dataframe has hundreds of rows, so ... | https://stackoverflow.com/questions/79951141/getting-the-average-of-rows-based-on-datetimeindex | python, pandas, time-series, datetimeindex | 1,780,537,743 |
se_51878601 | stackoverflow | DATA_SCIENCE | pandas: dataframe to_csv, how to set column names | pandas: dataframe to_csv, how to set column names
Code snippet:
import numpy as np
import pandas as pd
myseries=pd.Series(np.random.randn(5))
df=pd.DataFrame(myseries)
df.to_csv("output.csv")
Output:
0
0 0.51..
1 0.14..
2 -0.68..
3 0.48..
4 1.89..
I want the column name to be "values" instea... | https://stackoverflow.com/questions/51878601/pandas-dataframe-to-csv-how-to-set-column-names | python, pandas, csv, dataframe | 1,534,427,147 |
se_13446480 | stackoverflow | DATA_SCIENCE | Python Pandas: remove entries based on the number of occurrences | Python Pandas: remove entries based on the number of occurrences
I'm trying to remove entries from a data frame which occur less than 100 times.
The data frame data looks like this:
pid tag
1 23
1 45
1 62
2 24
2 45
3 34
3 25
3 62
Now I count the number of tag occurrences like ... | https://stackoverflow.com/questions/13446480/python-pandas-remove-entries-based-on-the-number-of-occurrences | python, numpy, python-2.7, pandas | 1,353,288,007 |
se_40427943 | stackoverflow | DATA_SCIENCE | How do I change a single index value in pandas dataframe? | How do I change a single index value in pandas dataframe?
energy.loc['Republic of Korea']
I want to change the value of index from 'Republic of Korea' to 'South Korea'.
But the dataframe is too large and it is not possible to change every index value. How do I change only this single value? | https://stackoverflow.com/questions/40427943/how-do-i-change-a-single-index-value-in-pandas-dataframe | python, pandas, data-analysis | 1,478,278,204 |
se_57017469 | stackoverflow | DATA_SCIENCE | Solving 'Unrecognized Token' Error While Using SQLite Insert Command | Solving 'Unrecognized Token' Error While Using SQLite Insert Command
I keep getting an OperationalError: Unrecognized Token. The error hapens when I'm attempting to insert data into my SQLite database using an SQLite Insert command. What do I need to do to correct this error or is there a better way I should ... | https://stackoverflow.com/questions/57017469/solving-unrecognized-token-error-while-using-sqlite-insert-command | python, pandas, pysqlite | 1,563,006,592 |
se_79989760 | stackoverflow | DATA_SCIENCE | null value return for selected columns of a DataFrame | null value return for selected columns of a DataFrame
I am trying to group by a dataframe of Adressess as object and Pricees as float. These are mycolumns in a larger dataframe but when I am trying to seperate the columns (Address and Price) from other columns in the larger DataFrame, the Price column values shows NaN... | https://stackoverflow.com/questions/79989760/null-value-return-for-selected-columns-of-a-dataframe | python, pandas, dataframe | 1,785,613,107 |
se_52382901 | stackoverflow | DATA_SCIENCE | Read excel cell values containing formulae with pandas | Read excel cell values containing formulae with pandas
I am trying to read an Excel sheet with pandas but because it has formulae it will return NaN values when reading it instead of the cell values.
df=pd.read_excel('Test.xlsx',sheet_name='Sheet1') | https://stackoverflow.com/questions/52382901/read-excel-cell-values-containing-formulae-with-pandas | python, pandas, xlsx | 1,537,261,573 |
se_74825685 | stackoverflow | DATA_SCIENCE | python pandas: using pd.IndexSlice for both rows and columns in a double multiindex dataframe | python pandas: using pd.IndexSlice for both rows and columns in a double multiindex dataframe
I have a double Multiindex dataframe as follows. I slice the rows with idx = pd.IndexSlice but I don't know how to do the same with the columns.
So provided this data:
df = pd.DataFrame(data=pd.DataFrame(data=np.random.randin... | https://stackoverflow.com/questions/74825685/python-pandas-using-pd-indexslice-for-both-rows-and-columns-in-a-double-multiin | python, pandas, slice, multi-index | 1,671,200,222 |
se_56238200 | stackoverflow | DATA_SCIENCE | How can extract data from .h5 file and save it in .txt or .csv properly? | How can extract data from .h5 file and save it in .txt or .csv properly?
After searching a lot I couldn't find a simple way to extract data from .h5 and pass it to a data.Frame by Numpy or Pandas in order to save in .txt or .csv file.
import h5py
import numpy as np
import pandas as pd
filename = 'D:\data.h5'
f = h5p... | https://stackoverflow.com/questions/56238200/how-can-extract-data-from-h5-file-and-save-it-in-txt-or-csv-properly | python, pandas, numpy, hdf5, data-extraction | 1,558,441,310 |
se_79989470 | stackoverflow | DATA_SCIENCE | Apply a user-defined function (UDF) to Pandas | Apply a user-defined function (UDF) to Pandas
I want to apply the function to Pandas, where UDF is assessing multiple strings,
I have tried the following, which works, but not ideal since if there is long list then one has to keep on adding OR statement.
def tran_cat(x):
# if x['Desc'].str.contains('|'.join(["Coco... | https://stackoverflow.com/questions/79989470/apply-a-user-defined-function-udf-to-pandas | python, pandas, user-defined-functions | 1,785,498,278 |
se_30944577 | stackoverflow | DATA_SCIENCE | Check if string is in a pandas dataframe | Check if string is in a pandas dataframe
I would like to see if a particular string exists in a particular column within my dataframe.
I'm getting the error
ValueError: The truth value of a Series is ambiguous. Use a.empty,
a.bool(), a.item(), a.any() or a.all().
import pandas as pd
baby_data_set = [('Bob', 968), (... | https://stackoverflow.com/questions/30944577/check-if-string-is-in-a-pandas-dataframe | python, pandas | 1,434,737,045 |
se_62669003 | stackoverflow | DATA_SCIENCE | transpose/stack/unstack pandas dataframe whilst concatenating the field name with existing columns | transpose/stack/unstack pandas dataframe whilst concatenating the field name with existing columns
I have a dataframe that looks something like:
Component Date MTD YTD QTD FC
ABC Jan 2017 56 nan nan nan
DEF Jan 2017 453 nan nan nan
XYZ Jan 2017 ... | https://stackoverflow.com/questions/62669003/transpose-stack-unstack-pandas-dataframe-whilst-concatenating-the-field-name-wit | python, pandas, stack, transpose | 1,593,572,519 |
se_38089010 | stackoverflow | DATA_SCIENCE | Merge a list of pandas dataframes | Merge a list of pandas dataframes
I have a list of data frames and I need to merge them together using a unique column (date). Field names are different so concat is out.
I can manually use
df[0].merge(df[1], on='Date').merge(df[3], on='Date')
etc. to merge each df one by one, but the issue is that the number of data... | https://stackoverflow.com/questions/38089010/merge-a-list-of-pandas-dataframes | python, pandas, dataframe, join | 1,467,165,070 |
se_50941409 | stackoverflow | DATA_SCIENCE | Quote marks in bash file created in Python | Quote marks in bash file created in Python
I'm using Python and Pandas to write multiple bash scripts. I have a pandas.Series containing the script. Simplified::
script = pd.Series([
'#!/bin/bash',
'#SBATCH --output "/home/path/output_filename.out"'
])
I then use script.to_csv('script_file.bat',index=False) to crea... | https://stackoverflow.com/questions/50941409/quote-marks-in-bash-file-created-in-python | python, string, bash, pandas, quotes | 1,529,475,219 |
se_55435469 | stackoverflow | DATA_SCIENCE | Combining iloc and loc | Combining iloc and loc
I am trying to combine iloc and loc; is there possibility?
Specifically I would like to:
give integer in the form :train_size for the rows values
give a list with the column names for the column values (replacing [0, 1] in the code below)
training_set = dataset.iloc[:train_size, [0, 1]].valu... | https://stackoverflow.com/questions/55435469/combining-iloc-and-loc | python, pandas, indexing | 1,553,978,355 |
se_76230048 | stackoverflow | DATA_SCIENCE | How do I combine .loc and .iloc in Pandas? | How do I combine .loc and .iloc in Pandas?
I have a Pandas dataframe that looks like this:
id color shape person
0 1 Green Circle Sally
1 17 Blue Square Bob
2 19 Orange Circle Tim
3 17 Yellow Triangle Sue
4 22 White Rectangle ... | https://stackoverflow.com/questions/76230048/how-do-i-combine-loc-and-iloc-in-pandas | python, pandas, indexing | 1,683,824,777 |
se_68669062 | stackoverflow | DATA_SCIENCE | Pandas read_xml and SEPA (CAMT 053) XML | Pandas read_xml and SEPA (CAMT 053) XML
Recently I wanted to try the newly implemented xml_read function within pandas. I thought about testing the feature with SEPA camt-format xml. I'm stuck with the functions parameters, as I'm unfamiliar with the lxml logic. I tried pointing to the transactions values as rows ("Nt... | https://stackoverflow.com/questions/68669062/pandas-read-xml-and-sepa-camt-053-xml | python-3.x, pandas, xml, xml-parsing | 1,628,175,673 |
se_13148429 | stackoverflow | DATA_SCIENCE | How can I change the order of DataFrame columns? | How can I change the order of DataFrame columns?
I have the following DataFrame (df):
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.rand(10, 5))
I add more column(s) by assignment:
df['mean'] = df.mean(1)
How can I move the column mean to the front, i.e. set it as first column leaving the order... | https://stackoverflow.com/questions/13148429/how-can-i-change-the-order-of-dataframe-columns | python, pandas, dataframe, sorting, indexing | 1,351,635,779 |
se_64897689 | stackoverflow | DATA_SCIENCE | How to have pandas perform a rolling average on a non-uniform x-grid | How to have pandas perform a rolling average on a non-uniform x-grid
I would like to perform a rolling average but with a window that only has a finite 'vision' in x. I would like something similar to what I have below, but I want a window range that based on the x value rather than position index.
While doing this wi... | https://stackoverflow.com/questions/64897689/how-to-have-pandas-perform-a-rolling-average-on-a-non-uniform-x-grid | python, pandas, numpy, scipy | 1,605,718,639 |
se_79982061 | stackoverflow | DATA_SCIENCE | Change multiple values in the same column | Change multiple values in the same column
df['frequency_of_purchases'] = df['frequency_of_purchases'].str.replace('Fortnightly', 'Bi-Weekly')
df['frequency_of_purchases'] = df['frequency_of_purchases'].str.replace('Every 3 Months', 'Quaterly')
How can I make these changes in a single line? | https://stackoverflow.com/questions/79982061/change-multiple-values-in-the-same-column | pandas | 1,784,486,132 |
se_79982220 | stackoverflow | DATA_SCIENCE | Pandas df.info() shows None in Streamlit while head() and shape work correctly | Pandas df.info() shows None in Streamlit while head() and shape work correctly
I am practicing Pandas with Streamlit in Notepad++.
Methods like df.shape, df.head(), df.tail(), and df.columns display correctly in the Streamlit web browser.
However, when I try to display df.info(), Streamlit shows None instead of the Da... | https://stackoverflow.com/questions/79982220/pandas-df-info-shows-none-in-streamlit-while-head-and-shape-work-correctly | python, pandas, dataframe, streamlit | 1,784,547,506 |
se_62012615 | stackoverflow | DATA_SCIENCE | Convert a hmmer --tblout output to a pandas dataframe | Convert a hmmer --tblout output to a pandas dataframe
Is there a way to convert a hmmer output to a pandas dataframe?
I am also unsure how to load a hmmer tblout table into python via
the Bio module.
I believe you can call a hmmer format with SeqIO.parse or SeqIO.search.The format of the table appears tab separated ... | https://stackoverflow.com/questions/62012615/convert-a-hmmer-tblout-output-to-a-pandas-dataframe | python, pandas, dataframe, bioinformatics, biopython | 1,590,451,424 |
se_40160149 | stackoverflow | DATA_SCIENCE | reading RDa file in python as a pandas data frame | reading RDa file in python as a pandas data frame
I have an RDa file that I created in R. I want to read this file on python as a pandas dataframe. I have the following code to do the same:
import rpy2.robjects as robjects
import numpy as np
from rpy2.robjects import pandas2ri
pandas2ri.activate()
# load your file
r... | https://stackoverflow.com/questions/40160149/reading-rda-file-in-python-as-a-pandas-data-frame | python, r, pandas, dataframe, rpy2 | 1,476,982,178 |
se_79966690 | stackoverflow | DATA_SCIENCE | pandas read_xml - handling nested nodes beyond level 2 | pandas read_xml - handling nested nodes beyond level 2
I am using Pandas to import xml files into a Postgres database via the .read_xml() and .to_sql() functions.
With two levels of nested elements in my xml files, things work as I expect:
<table1>
<id>1</id>
<label>Label 1</label>
<id>2</id>
<label>Label ... | https://stackoverflow.com/questions/79966690/pandas-read-xml-handling-nested-nodes-beyond-level-2 | python, pandas, readxml | 1,782,371,034 |
se_79943913 | stackoverflow | DATA_SCIENCE | Copying dataframe during EDA | Copying dataframe during EDA
Look, I have the following problem: currently, I am learning Data Science via Online Course and I have observed that during explaratory data analysis for subsequent model training, I filted pandas dataframe many times. Initally, I have dataframe called 'df' and then I do make some data fil... | https://stackoverflow.com/questions/79943913/copying-dataframe-during-eda | python, pandas, dataframe, filter | 1,779,267,538 |
se_79950565 | stackoverflow | DATA_SCIENCE | How do I look into https://raw.githubusercontent.com/python-visualization/folium/master/examples/data to see available data? | How do I look into https://raw.githubusercontent.com/python-visualization/folium/master/examples/data to see available data?
I am learning how to create maps using python and a lot of the examples I learn from use
https://raw.githubusercontent.com/python-visualization/folium/master/examples/data
as an example dataset... | https://stackoverflow.com/questions/79950565/how-do-i-look-into-https-raw-githubusercontent-com-python-visualization-folium | python, pandas, dataframe, github, folium | 1,780,447,181 |
se_79951097 | stackoverflow | DATA_SCIENCE | "import matplotlib.pyplot as plt" & "import meteostat as ms" script not running | "import matplotlib.pyplot as plt" & "import meteostat as ms" script not running
In my Visual Studio Code is not importing these programs with the following script
import matplotlib.pyplot as plt
import meteostat as ms
Are there "pandas" or "pip" commands I need to run this? | https://stackoverflow.com/questions/79951097/import-matplotlib-pyplot-as-plt-import-meteostat-as-ms-script-not-running | python, pandas, matplotlib, meteostat | 1,780,523,016 |
se_57006437 | stackoverflow | DATA_SCIENCE | Calculate RSI indicator from pandas DataFrame? | Calculate RSI indicator from pandas DataFrame?
My problem
I tried many libraries on Github but all of them did not produce matching results for TradingView so I followed the formula on this link to calculate RSI indicator. I calculated it with Excel and collated the results with TradingView. I know it's absolutely co... | https://stackoverflow.com/questions/57006437/calculate-rsi-indicator-from-pandas-dataframe | python, pandas, dataframe | 1,562,932,272 |
se_79950423 | stackoverflow | DATA_SCIENCE | python dataframe rolling by date to get sum | python dataframe rolling by date to get sum
I need to accumulate the sum of transaction amount looking back a set number of days. 10 days would be a start.
I have petty cash transaction for a couple of people and I want to sum their spending for a rolling period of dates. Issue: the transactions must be group by "... | https://stackoverflow.com/questions/79950423/python-dataframe-rolling-by-date-to-get-sum | python, pandas, dataframe | 1,780,422,804 |
se_78516620 | stackoverflow | DATA_SCIENCE | Reading .xlsx results in a ValueError: Unable to read workbook. This is most probably because the workbook source files contain some invalid XML | Reading .xlsx results in a ValueError: Unable to read workbook. This is most probably because the workbook source files contain some invalid XML
I'm trying to read and clean an Excel workbook that contains an image. My goal is to process it automatically, as I have many similar files. I used the following code to read... | https://stackoverflow.com/questions/78516620/reading-xlsx-results-in-a-valueerror-unable-to-read-workbook-this-is-most-pro | python, excel, pandas | 1,716,371,042 |
se_42504442 | stackoverflow | DATA_SCIENCE | TypeError: 'Series' objects are mutable, thus they cannot be hashed | TypeError: 'Series' objects are mutable, thus they cannot be hashed
I know this error is common, I tried some solutions I looked up and still can't understand what is wrong. I guess it is due to the mutable form of row and row1, but i can't figure it out
What am I trying to do ?
I have 2 dataframes. I need to... | https://stackoverflow.com/questions/42504442/typeerror-series-objects-are-mutable-thus-they-cannot-be-hashed | python, pandas, hash, immutability | 1,488,272,980 |
se_71016184 | stackoverflow | DATA_SCIENCE | Compare 2 columns in same excel sheet in pandas | Compare 2 columns in same excel sheet in pandas
In excel sheet i want to compare the 2 columns. The column names like file_1 and file_2. by using these 2 cols want to create the another col like 'diff' by using excel formula [countifs]. In case , if file_1 and file_2 column records matched it should be 0 (Zero) in dif... | https://stackoverflow.com/questions/71016184/compare-2-columns-in-same-excel-sheet-in-pandas | python, pandas, dataframe, pandas-groupby, isin | 1,644,226,027 |
se_79980955 | stackoverflow | DATA_SCIENCE | FastAPI returning "Out of range float values are not JSON compliant" with Pandas NaN values | FastAPI returning "Out of range float values are not JSON compliant" with Pandas NaN values
I am building a FastAPI endpoint that reads data, processes it into a Pandas DataFrame, and returns it as a JSON response.
However, my dataset contains missing data (NaN). When I convert the DataFrame to a dictionary ... | https://stackoverflow.com/questions/79980955/fastapi-returning-out-of-range-float-values-are-not-json-compliant-with-pandas | python, json, pandas, fastapi, nan | 1,784,112,015 |
se_79890933 | stackoverflow | DATA_SCIENCE | How to merge N DataFrames into one, while using first DF as reference? | How to merge N DataFrames into one, while using first DF as reference?
I am trying to fuse N dataframes to create a single table for future analysis. Right now N = 8, but soon N = 500+
I have multiple datasets, and I wrote code that counted how many times unique Objects appeared in them.
First DF is a single column th... | https://stackoverflow.com/questions/79890933/how-to-merge-n-dataframes-into-one-while-using-first-df-as-reference | python, pandas, dataframe | 1,771,336,241 |
se_50643386 | stackoverflow | DATA_SCIENCE | Easy Way to See if Two Columns are One-to-One in Pandas | Easy Way to See if Two Columns are One-to-One in Pandas
Working with data in Python 3+ with pandas. It seems like there should be an easy way to check if two columns have a one-to-one relationship (regardless of column type), but I'm struggling to think of the best way to do this.
Example of expected output:
A B ... | https://stackoverflow.com/questions/50643386/easy-way-to-see-if-two-columns-are-one-to-one-in-pandas | python, pandas, one-to-one | 1,527,855,915 |
se_55577098 | stackoverflow | DATA_SCIENCE | Track the historic of a time series for a market sentiment trading strategy. Error: argument of type 'numpy.bool_' is not iterable | Track the historic of a time series for a market sentiment trading strategy. Error: argument of type 'numpy.bool_' is not iterable
I'm developing a market sentiment trading strategy for my Investment class. Basically, the strategy currently consists of selling the market index in Zone 1 and 3 and buying (holdi... | https://stackoverflow.com/questions/55577098/track-the-historic-of-a-time-series-for-a-market-sentiment-trading-strategy-err | python, pandas, quantitative-finance, trading | 1,554,738,028 |
se_79979626 | stackoverflow | DATA_SCIENCE | How can I boxplot values that wrap around using matplotlib? | How can I boxplot values that wrap around using matplotlib?
I want to show the distribution of angle estimations using a boxplot. The problem is that angles wrap around (I chose +-180° as the wrapping point, but the same applies to 0/360°).
Matplotlibs boxplot method interprets the angles as linear values, which leads... | https://stackoverflow.com/questions/79979626/how-can-i-boxplot-values-that-wrap-around-using-matplotlib | python, pandas, numpy, matplotlib, angle | 1,783,680,773 |
se_50800454 | stackoverflow | DATA_SCIENCE | How can I download stock price data with Python? | How can I download stock price data with Python?
I have installed pandas-datareader but I'm wondering if there are alternatives.
So far, I'm using this:
import pandas_datareader.data as web
start_date = '2018-01-01'
end_date = '2018-06-08'
panel_data = web.DataReader('SPY', 'yahoo', start_date, end_date) | https://stackoverflow.com/questions/50800454/how-can-i-download-stock-price-data-with-python | tooling-recommendation, python, pandas, stock, pandas-datareader | 1,528,728,458 |
se_42818262 | stackoverflow | DATA_SCIENCE | Pandas DataFrame Replace NaT with None | Pandas DataFrame Replace NaT with None
I have been struggling with this question for a long while, and I tried different methods.
I have a simple DataFrame as shown,
I can use code to replace NaN with None (Not String "None"),
[![dfTest2 = dfTest.where(pd.notnull(dfTest), None)][2]][2]
I support that NaT is also cl... | https://stackoverflow.com/questions/42818262/pandas-dataframe-replace-nat-with-none | python, pandas, dataframe | 1,489,603,661 |
se_20262448 | stackoverflow | DATA_SCIENCE | How to write to an existing excel file without breaking formulas with openpyxl? | How to write to an existing excel file without breaking formulas with openpyxl?
When you write to an excel file from Python in the following manner:
import pandas
from openpyxl import load_workbook
book = load_workbook('Masterfile.xlsx')
writer = pandas.ExcelWriter('Masterfile.xlsx')
writer.book = book
writer.sheet... | https://stackoverflow.com/questions/20262448/how-to-write-to-an-existing-excel-file-without-breaking-formulas-with-openpyxl | python, excel, pandas, openpyxl | 1,385,631,534 |
se_50353740 | stackoverflow | DATA_SCIENCE | pandas to_excel() ignore/allow duplicate column names | pandas to_excel() ignore/allow duplicate column names
Is there way to ignore duplicate column names after using to_excel() function of pandas?
Say, I have old_wb.xlsx:
>> df1 = pd.read_excel('wb1.xlsx')
---------------------merged header--------------------
col1 col2 col3 col1 col4 col1 ... | https://stackoverflow.com/questions/50353740/pandas-to-excel-ignore-allow-duplicate-column-names | python, excel, pandas | 1,526,397,263 |
se_57314254 | stackoverflow | DATA_SCIENCE | Pandas df write to Excel template with prepared styles | Pandas df write to Excel template with prepared styles
I have DataFrame df.
I have Excel file template_with_styles.xlsx in which there is a color table ready.
I want to write df to a template.
from openpyxl.utils.dataframe import dataframe_to_rows
wb = load_workbook('template_with_styles.xlsx')
ws = wb.active
for ... | https://stackoverflow.com/questions/57314254/pandas-df-write-to-excel-template-with-prepared-styles | python, excel, pandas, dataframe, openpyxl | 1,564,680,846 |
se_78246082 | stackoverflow | DATA_SCIENCE | Matplotlib: Legend for marker and color in a scatterplot | Matplotlib: Legend for marker and color in a scatterplot
I am trying to plot a scatterplot for the data frame(posted below). I want to represent the scatterplot with the different stages being shown as different markers(circle,square etc) and different products being shown as different colors(red,blue etc). so far i h... | https://stackoverflow.com/questions/78246082/matplotlib-legend-for-marker-and-color-in-a-scatterplot | python, pandas, matplotlib, scatter-plot | 1,711,749,205 |
se_40442014 | stackoverflow | DATA_SCIENCE | Pandas ValueError Arrays Must be All Same Length | Pandas ValueError Arrays Must be All Same Length
Iterates over a big list of .mp3 links to get the metadata tags and save it to an Excel file. Results in this error. I appreciate any help. Thanks.
df = pd.DataFrame({
'Links': lines,
'Titles': titles,
'Singers': finalsingers,
'Albums': finalalbums,
... | https://stackoverflow.com/questions/40442014/pandas-valueerror-arrays-must-be-all-same-length | python, pandas | 1,478,372,256 |
se_77269618 | stackoverflow | DATA_SCIENCE | Why does an operation on a large integer silently overflow? | Why does an operation on a large integer silently overflow?
I have a list that contains very large integers and I want to cast it into a pandas column with a specific dtype. As an example, if the list contains 2**31, which is outside the limit of int32 dtype, casting it into dtype int32 throws an Overflow Error, which... | https://stackoverflow.com/questions/77269618/why-does-an-operation-on-a-large-integer-silently-overflow | python, pandas, long-integer | 1,696,984,519 |
se_41271673 | stackoverflow | DATA_SCIENCE | Format numbers in pandas as currency in thousands or millions | Format numbers in pandas as currency in thousands or millions
I have a dataframe: pd.DataFrame({"Amount":[19000000, 9873200, 823449242]}), and I need to convert the numbers into currency ($) in millions. i.e. $19.00MM, $9.88MM, and $823.45MM.
Does anyone know a quick way to do this?
Thanks! | https://stackoverflow.com/questions/41271673/format-numbers-in-pandas-as-currency-in-thousands-or-millions | python, pandas, numbers, format, currency | 1,482,353,413 |
se_59734555 | stackoverflow | DATA_SCIENCE | Create pandas dataframe from multiple part-dataframes | Create pandas dataframe from multiple part-dataframes
I'm trying to create a Pandas dataframe that is created of multiple smaller dataframes.
All dataframes got the same Index variable but sometimes have different columns, which should be added if they don't exist yet.
So basically a join (outer I guess) would be the ... | https://stackoverflow.com/questions/59734555/create-pandas-dataframe-from-multiple-part-dataframes | python, pandas | 1,579,007,778 |
se_63557310 | stackoverflow | DATA_SCIENCE | How to change column name in huge dataframe? | How to change column name in huge dataframe?
I want to change the column name of the dataframe which has 128 columns. I want to iteratively change it.
I want it to be facefeat_1, facefeat_2, ...., facefeat_128.
Help would be appreciated. Thank you | https://stackoverflow.com/questions/63557310/how-to-change-column-name-in-huge-dataframe | python, pandas, dataframe | 1,598,257,661 |
se_79975201 | stackoverflow | DATA_SCIENCE | Which approaches should be used for monthly demand forecasting with few observations per product? | Which approaches should be used for monthly demand forecasting with few observations per product?
community. How are you?
I am a junior data analyst and I am working on a demand/revenue forecasting project for a factory.
The goal of the project is to forecast, on a monthly basis, the number of units sold/invoiced per ... | https://stackoverflow.com/questions/79975201/which-approaches-should-be-used-for-monthly-demand-forecasting-with-few-observat | python, pandas, machine-learning, data-analysis | 1,783,364,873 |
se_63596329 | stackoverflow | DATA_SCIENCE | Python Pandas - Read csv with commented header line | Python Pandas - Read csv with commented header line
I want to read and process a csv file with pandas. The file (as seen below) contains multiple header lines which are indicated by a # tag. I can import that file easily by using
import pandas as pd
file = "data.csv"
data = pd.read_csv(file, delimiter="\s+",
... | https://stackoverflow.com/questions/63596329/python-pandas-read-csv-with-commented-header-line | python, pandas, csv, parsing, openfoam | 1,598,440,105 |
se_65079545 | stackoverflow | DATA_SCIENCE | Compare dataframe columns: TypeError: Cannot interpret 'StringDtype' as a data type | Compare dataframe columns: TypeError: Cannot interpret 'StringDtype' as a data type
I am trying to compare two dataframes columns and types to check for equality, the rows are expected to be different.
I am using pandas version 1.1.2
pd.__version__
'1.1.2'
if (df1.columns.difference(df2.columns).empty) and
... | https://stackoverflow.com/questions/65079545/compare-dataframe-columns-typeerror-cannot-interpret-stringdtype-as-a-data-t | python, pandas, dataframe | 1,606,762,686 |
se_39279439 | stackoverflow | DATA_SCIENCE | Append dataframe to dict | Append dataframe to dict
I've created a dict of dicts structured in such a way that the key is the department ('ABC') then the date (01.08) is the key and values are { product name (A), Units (0), Revenue (0)}. This structure continues for several departments. See dict of dict printout below.
'ABC': ... | https://stackoverflow.com/questions/39279439/append-dataframe-to-dict | python, pandas, dictionary | 1,472,757,976 |
se_55188544 | stackoverflow | DATA_SCIENCE | How to workaround "error tokenizing data" | How to workaround "error tokenizing data"
A lot of questions have been already asked about this topic on SO.
(and many others).
Among the numerous answers, none of them was really helpful to me so far. If I missed the useful one, please let me know.
I simply would like to read a CSV file with pandas into ... | https://stackoverflow.com/questions/55188544/how-to-workaround-error-tokenizing-data | python, pandas, csv | 1,552,673,581 |
se_18327624 | stackoverflow | DATA_SCIENCE | Find element's index in pandas Series | Find element's index in pandas Series
I know this is a very basic question but for some reason I can't find an answer. How can I get the index of certain element of a Series in python pandas? (first occurrence would suffice)
I.e., I'd like something like:
import pandas as pd
myseries = pd.Series([1,4,0,7,5], ind... | https://stackoverflow.com/questions/18327624/find-elements-index-in-pandas-series | python, pandas | 1,376,976,834 |
se_79972288 | stackoverflow | DATA_SCIENCE | How to Insert datas from a dataframe into a database? | How to Insert datas from a dataframe into a database?
I have a DAG with three tasks in my project. The three tasks call three function which are in differents files. I'm using the ELT/ETL process. Everything seems fine until the injection of the datas. I don't know why I can't insert it in my database.
I checked that ... | https://stackoverflow.com/questions/79972288/how-to-insert-datas-from-a-dataframe-into-a-database | python, pandas, sqlalchemy, airflow | 1,782,928,885 |
se_42370977 | stackoverflow | DATA_SCIENCE | How to save a new sheet in an existing excel file, using Pandas? | How to save a new sheet in an existing excel file, using Pandas?
I want to use excel files to store data elaborated with python. My problem is that I can't add sheets to an existing excel file. Here I suggest a sample code to work with in order to reach this issue
import pandas as pd
import numpy as np
path = r"C:\U... | https://stackoverflow.com/questions/42370977/how-to-save-a-new-sheet-in-an-existing-excel-file-using-pandas | python, pandas, openpyxl, xlsxwriter | 1,487,689,624 |
se_52263102 | stackoverflow | DATA_SCIENCE | enumerate items in each group | enumerate items in each group
I have a DataFrame like
id chi prop ord
0 100 L 67 0
1 100 L 68 1
2 100 L 68 2
3 100 L 68 3
4 100 L 70 0
5 100 L 71 0
6 100 R 67 0
7 100 R 68 1
8 100 R 68 2
9 100 R ... | https://stackoverflow.com/questions/52263102/enumerate-items-in-each-group | python, pandas, group-by | 1,536,602,177 |
se_79921372 | stackoverflow | DATA_SCIENCE | Pandas DataFrame Pivot, reset index | Pandas DataFrame Pivot, reset index
I have a data-frame which looks in as simplified way like following:
import pandas as pd
df = pd.DataFrame({
'catYM': [202601,202601,202602,202603,202603,202501,202501],
'prod': [20,26,34,45,18,19,20]})
print(df)
catYM prod
0 202601 20
1 202601 26
2 202602 ... | https://stackoverflow.com/questions/79921372/pandas-dataframe-pivot-reset-index | pandas, dataframe, pivot | 1,775,550,235 |
se_79972629 | stackoverflow | DATA_SCIENCE | How to correctly type hint a python field that accepts a pandas Timestamp? | How to correctly type hint a python field that accepts a pandas Timestamp?
I'm working on a python package where lots of method parameters and class properties are timestamps.
I work with the pandas.Timestamp class to represent these timestamps, e.g.:
class Event:
"""Events are bounded between begin an end attribu... | https://stackoverflow.com/questions/79972629/how-to-correctly-type-hint-a-python-field-that-accepts-a-pandas-timestamp | python, pandas, type-hinting, stub | 1,782,996,972 |
se_62581883 | stackoverflow | DATA_SCIENCE | Efficiently transforming rows to columns in Pandas DataFrame? | Efficiently transforming rows to columns in Pandas DataFrame?
I'd like to convert the following DataFrame:
idx key val
0 1 foo 2
1 1 bar 4
2 1 qux 8
3 2 foo 10
4 2 bar 12
5 2 qux 14
To:
key_foo key_bar key_qux
idx
1 4 2 ... | https://stackoverflow.com/questions/62581883/efficiently-transforming-rows-to-columns-in-pandas-dataframe | python, pandas, dataframe | 1,593,109,187 |
se_71545455 | stackoverflow | DATA_SCIENCE | giving a unique code by seeing the first column string and the second column | giving a unique code by seeing the first column string and the second column
giving a unique code by seeing the first column string and the second columns string and whenever the first column string change it starts from 1
Example
how can I do this using python? | https://stackoverflow.com/questions/71545455/giving-a-unique-code-by-seeing-the-first-column-string-and-the-second-column | python, pandas, dataframe, numpy | 1,647,767,559 |
se_79941092 | stackoverflow | DATA_SCIENCE | What are the most effective ways to learn Data Science from scratch, especially within a limited time frame? | What are the most effective ways to learn Data Science from scratch, especially within a limited time frame?
I want a structured roadmap that covers:
Python for Data Science
NumPy, Pandas, Matplotlib, Seaborn
Scikit-learn
Statistics and Probability
Machine Learning basics
Data visualization
SQL for Data Science... | https://stackoverflow.com/questions/79941092/what-are-the-most-effective-ways-to-learn-data-science-from-scratch-especially | python, pandas | 1,778,763,155 |
se_21693133 | stackoverflow | DATA_SCIENCE | R1C1 in openpyxl | R1C1 in openpyxl
I'm trying to set conditional formatting in openpyxl to emulate highlighting duplicate values. With this simple code, I should be able to highlight consecutive duplicates (but not the first value in a duplicate sequence).
from pandas import *
data = DataFrame({'a':'a a a b b b c b c a f'.split()})
wb... | https://stackoverflow.com/questions/21693133/r1c1-in-openpyxl | python, pandas, openpyxl | 1,392,092,950 |
se_68618478 | stackoverflow | DATA_SCIENCE | Collapse overlapping columns in pandas dataframe | Collapse overlapping columns in pandas dataframe
I have a dataframe that looks like this:
>>> df = pd.DataFrame({'P1':['ARF5','NaN','NaN'],'P2':['NaN','M6PR','NaN'],'P3':['NaN','NaN','NDUFAF7']})
>>> df
P1 P2 P3
0 ARF5 NaN NaN
1 NaN M6PR NaN
2 NaN NaN NDUFAF7
I have been trying to c... | https://stackoverflow.com/questions/68618478/collapse-overlapping-columns-in-pandas-dataframe | python, pandas, merging-data | 1,627,892,627 |
se_79949789 | stackoverflow | DATA_SCIENCE | How can I save pdb files with biopandas? | How can I save pdb files with biopandas?
I have a processed pdb file and I would like to further process it and split it into 4 different files based on the labels from a clustering algorithm, which are stored in 'hlabs' variable. My file is '1asy_pocket.pdb' and I can process it with biopandas. However, after I built... | https://stackoverflow.com/questions/79949789/how-can-i-save-pdb-files-with-biopandas | python, pandas | 1,780,330,544 |
se_79671166 | stackoverflow | DATA_SCIENCE | Importing CSV after initially exporting datetime output (without using pandas) | Importing CSV after initially exporting datetime output (without using pandas)
I use the following to write CSV lines in a loop while running sensor instrumentation, and I want to read them back in for post-processing without pandas. I would like to use the imported data to plot, and do basic arithmetic on the time s... | https://stackoverflow.com/questions/79671166/importing-csv-after-initially-exporting-datetime-output-without-using-pandas | python, pandas, csv, python-datetime | 1,750,271,379 |
se_79966799 | stackoverflow | DATA_SCIENCE | df.explode() has no effect when used in a for-loop | df.explode() has no effect when used in a for-loop
I want to call multiple pandas-functions on multiple DataFrames with no avail. Unfortunately I do not understand why since I think it should work as pandas is referencing the DataFrames.
Below is s small snippet to show the behavour, it lacks the part of multiple fram... | https://stackoverflow.com/questions/79966799/df-explode-has-no-effect-when-used-in-a-for-loop | python, pandas, dataframe | 1,782,385,129 |
se_79968177 | stackoverflow | DATA_SCIENCE | How can I read a CSV file, sum the “Betrag” column, count rows, and group totals by tenant? | How can I read a CSV file, sum the “Betrag” column, count rows, and group totals by tenant?
I have a CSV file exported from Excel. It contains at least these two columns:
Betrag (numeric amounts)
tenant (string identifier)
I want to:
Read the CSV file
Calculate the total sum of the Betrag column
Count the numbe... | https://stackoverflow.com/questions/79968177/how-can-i-read-a-csv-file-sum-the-betrag-column-count-rows-and-group-totals | python, pandas, csv | 1,782,457,334 |
se_79966342 | stackoverflow | DATA_SCIENCE | Perfom operation between the first and second row of each group | Perfom operation between the first and second row of each group
I have the following dataframe:
sequence_id
geometry
step
distance
0
0ae5nT97gFXHwxrYPsuAvS
POINT (-77.03842341899872 -12.038213559379837)
0
0
1
0ae5nT97gFXHwxrYPsuAvS
POINT (-77.0381498336792 -12.03833947409247)
1
32.8924
2
0ae5nT97gFXHwxrYPs... | https://stackoverflow.com/questions/79966342/perfom-operation-between-the-first-and-second-row-of-each-group | python, pandas | 1,782,306,722 |
se_79960740 | stackoverflow | DATA_SCIENCE | How to detect a specific sequence of string values within a Dataframe column | How to detect a specific sequence of string values within a Dataframe column
I am performing analysis of some log files with Python/Pandas, and I am trying to develop an efficient operation to find a specific sequence of string values within a column. My current idea was to use a rolling window of 2 observations and a... | https://stackoverflow.com/questions/79960740/how-to-detect-a-specific-sequence-of-string-values-within-a-dataframe-column | python, pandas, dataframe | 1,781,624,780 |
se_79966828 | stackoverflow | DATA_SCIENCE | Is there a way to store datetime objects with different timezones in one column without losing the .dt functions that pandas provides? | Is there a way to store datetime objects with different timezones in one column without losing the .dt functions that pandas provides?
I am working with the time of a location in Germany where the timezone is shifted over the year.
When having two different timezones in one column pandas only recognizes it as object (... | https://stackoverflow.com/questions/79966828/is-there-a-way-to-store-datetime-objects-with-different-timezones-in-one-column | python, pandas, python-datetime, timezone-offset | 1,782,389,761 |
se_72589797 | stackoverflow | DATA_SCIENCE | ModuleNotFoundError: No module named 'pandas' although I have already installed it | ModuleNotFoundError: No module named 'pandas' although I have already installed it
I am trying to run a python (3.9.0) code in Jupyter Notebook in VSCode. Even though I installed pandas in my virtual environment, it still shows ModuleNotFoundError: No module named 'pandas'.
I tried python3 -m pip install pand... | https://stackoverflow.com/questions/72589797/modulenotfounderror-no-module-named-pandas-although-i-have-already-installed | python, pandas, visual-studio-code, jupyter-notebook | 1,655,013,074 |
se_43834242 | stackoverflow | DATA_SCIENCE | SKLearn MinMaxScaler - scale specific columns only | SKLearn MinMaxScaler - scale specific columns only
I'd like to scale some (but not all) of the columns in a Pandas dataFrame using a MinMaxScaler. How can I do it? | https://stackoverflow.com/questions/43834242/sklearn-minmaxscaler-scale-specific-columns-only | pandas, scikit-learn | 1,494,176,514 |
se_38420847 | stackoverflow | DATA_SCIENCE | Apply StandardScaler to parts of a data set | Apply StandardScaler to parts of a data set
I want to use sklearn's StandardScaler. Is it possible to apply it to some feature columns but not others?
For instance, say my data is:
data = pd.DataFrame({'Name' : [3, 4,6], 'Age' : [18, 92,98], 'Weight' : [68, 59,49]})
Age Name Weight
0 18 3 68
1 92 ... | https://stackoverflow.com/questions/38420847/apply-standardscaler-to-parts-of-a-data-set | python, pandas, scikit-learn | 1,468,756,027 |
se_79966343 | stackoverflow | DATA_SCIENCE | How to use StandardScaler on only specific columns in a pandas DataFrame? | How to use StandardScaler on only specific columns in a pandas DataFrame?
I have a DataFrame with three columns: 'power', 'time', and 'status'. The 'status' column contains 0 or 1 (target variable). I don't want to scale the 'status' column.
How can I apply StandardScaler to only the 'power' and 'time' columns while k... | https://stackoverflow.com/questions/79966343/how-to-use-standardscaler-on-only-specific-columns-in-a-pandas-dataframe | python, pandas, scikit-learn | 1,782,306,997 |
se_23353732 | stackoverflow | DATA_SCIENCE | Python Pandas write to sql with NaN values | Python Pandas write to sql with NaN values
I'm trying to read a few hundred tables from ascii and then write them to mySQL. It seems easy to do with Pandas but I hit an error that doesn't make sense to me:
I have a data frame of 8 columns. Here is the column list/index:
metricDF.columns
Index([u'FID', u'TYPE', u'... | https://stackoverflow.com/questions/23353732/python-pandas-write-to-sql-with-nan-values | python, mysql, sql, pandas | 1,398,733,139 |
se_79956503 | stackoverflow | DATA_SCIENCE | How to count how many times string X appears in a row (and how to turn answer into a table)? | How to count how many times string X appears in a row (and how to turn answer into a table)?
I need to make a bar chart to show the abundance of specific genes in samples.
In my large Excel file, each row is a different sample and each sample has a different number of genes (meaning counting by column isn't practical)... | https://stackoverflow.com/questions/79956503/how-to-count-how-many-times-string-x-appears-in-a-row-and-how-to-turn-answer-in | python, pandas | 1,781,180,292 |
se_58523316 | stackoverflow | DATA_SCIENCE | split rows in pandas dataframe | split rows in pandas dataframe
I stuck with the problem how to divide a pandas dataframe by row,
I have a similar dataframe with a column where values are separated by \r\n and they are in one cell,
Color Shape Price
0 Green Rectangle\r\nTriangle\r\nOctangle 10
1 Blue ... | https://stackoverflow.com/questions/58523316/split-rows-in-pandas-dataframe | python, pandas | 1,571,835,158 |
se_17116814 | stackoverflow | DATA_SCIENCE | How to split text in a column into multiple rows | How to split text in a column into multiple rows
The second to last column has a string of text that I want to split by a specific delimiter. Is there a simple way to do this using pandas or python?
CustNum CustomerName ItemQty Item Seatblocks ItemExt
32363 McCartney, Paul 3 F04 ... | https://stackoverflow.com/questions/17116814/how-to-split-text-in-a-column-into-multiple-rows | python, pandas, dataframe | 1,371,241,966 |
se_45574191 | stackoverflow | DATA_SCIENCE | Using Python Faker generate different data for 5000 rows | Using Python Faker generate different data for 5000 rows
I would like to use the Python Faker library to generate 500 lines of data, however I get repeated data using the code I came up with below. Can you please point out where I'm going wrong. I believe it has something to do with the for loop. Thanks in advance:
f... | https://stackoverflow.com/questions/45574191/using-python-faker-generate-different-data-for-5000-rows | python-3.x, pandas, dataframe, random, faker | 1,502,211,936 |
se_79965209 | stackoverflow | DATA_SCIENCE | Find value in data from CSV read with Pandas | Find value in data from CSV read with Pandas
Using Pandas I read a CSV file:
import pandas as pd
fcsv = pd.read_csv("my_file.csv", sep=";", usecols=[4,6])
print(fcsv)
ID Use_Fuel
0 15454509, 00664154 No
1 00928674, 10974172 No
2 15453278, 07320582 No... | https://stackoverflow.com/questions/79965209/find-value-in-data-from-csv-read-with-pandas | python, pandas | 1,782,123,920 |
se_48187884 | stackoverflow | DATA_SCIENCE | EmptyDataError: No columns to parse from file | EmptyDataError: No columns to parse from file
Currently I am getting the below Error and I am tried out the below posts:
Solution 1
Solution 2
But I am not able to get the error resolved. My python code is as below:
import pandas as pd
testdata = pd.read_csv(file_name, header=None, delim_whitespace=True)
I trie... | https://stackoverflow.com/questions/48187884/emptydataerror-no-columns-to-parse-from-file | python, pandas, csv | 1,515,588,573 |
se_61101680 | stackoverflow | DATA_SCIENCE | install pandas on rhel using yum | install pandas on rhel using yum
If I want to install pandas on RHEL server using the following command from the official pandas documentation pandas installation using the following command:
yum install python3-pandas
I get the following error:
No package python3-pandas available
Nothing to do
Below are the spe... | https://stackoverflow.com/questions/61101680/install-pandas-on-rhel-using-yum | python, pandas, installation, yum, rhel | 1,586,351,880 |
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