PANDAS QUESTIONS

Pandas fill missing value with most common value with filter?

will help you Given a dataframe with two columns like the following: , Use:

TAG : pandas

Date : January 11 2021, 03:28 PM , By : user121501

Merge 2 DataFrame and sum up one of the column

wish help you to fix your issue IIUC, you could use pandas.concat and pandas.DataFrame.groupby

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Date : January 11 2021, 03:26 PM , By : joshski

Tensorflow 2 "Attempt to convert a value (63) with an unsupported type (<class 'numpy.int64'>) to a Tensor&qu

it fixes the issue It seems that Numpy was corrupted. After uninstalling Numpy and re-installing it, the program worked.

TAG : pandas

Date : January 07 2021, 03:08 PM , By : user177837

How to get the value by column and row name in pandas in python

like below fixes the issue I am getting a co-occurrence matrix as follows using pandas. , Will this work for you?

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Date : January 07 2021, 03:08 PM , By : Tim Coffman

Finding duplicate records and subset for a clean dataset

This might help you first sort_values include the column which contains Null valuesuse drop_duplicates and provide column FileNo

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Date : January 07 2021, 07:50 AM , By : xguru

How to use df.rolling(window, min_periods, win_type='exponential').sum()

Hope this helps I faced same issue and asked it on Russian SO:Got the following answer:

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Date : January 07 2021, 07:50 AM , By : Jonathan Bernard

Create pandas dataframe from set of dictionaries

may help you . here is the docs from_records

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Date : January 02 2021, 06:48 AM , By : user142345

Any fix for UserWarning: pyarrow.open_stream is deprecated, please use pyarrow.ipc.open_stream?

I hope this helps you . Finally I found a solution for the above query. It was a datatype issue. I n one of my column I was generating probability while processing in spark which was giving output as 4.333333 Incase probability is 4.3 and post roundi

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Date : January 02 2021, 06:48 AM , By : alchemist

Reading values within pandas.groupby

I think the issue was by ths following , I have a dataframe like below , Check with crosstab and to_dict

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Date : January 02 2021, 06:48 AM , By : Verbal

Perform operations after styling in a dataframe

To fix this issue When you use style, df becomes a Styler object and it's not anymore a Dataframe object. You are trying to use Dataframe methods on a Styler object, and that will not work. The styler object contains the dataframe inside df.data, so

TAG : pandas

Date : January 02 2021, 06:48 AM , By : UpperLuck

Pandas access first column with duplicate column names

With these it helps Looking for some help accessing the first empty df column that is also a duplicate name, by name. , IIUC:

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Date : January 02 2021, 06:48 AM , By : nonkelhans

Cannot open a csv file

around this issue I have a csv file on which i need to work in my jupyter notebook ,even though i am able to view the contents in the file using the code in the picture , Try to use pandas to read the csv file:

TAG : pandas

Date : January 02 2021, 06:48 AM , By : Mighty Mac

Splitting value dataframe over multiple timeslots

Does that help Would like to spread the values of the 15 minute intervals evenly over the 5 minute intervals. But cannot get it to work. Data is: , Slightly different approach:

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Date : January 02 2021, 06:48 AM , By : cjdavis

Why does changing "Date" column to datetime ruin graph?

may help you . I have a dataframe with financial data in it (Date, Open, Close, Low, High). , Solution - add formatUpdated line

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Date : January 02 2021, 06:48 AM , By : lili

Datetime column coerced to int when setting with .loc and slice

hope this fix your issue The solution proposed by w-m has such an "awkward detail" than the result column has also the time part (it didn't have it before).I have also such a remark, that DataFrames are tables not Series, so they have columns, each w

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Date : January 02 2021, 06:48 AM , By : vitorcoliveira

analysis of groups in pandas dataframe

To fix the issue you can do group on both 5-minute intervals and the 'size' column. Then divide by the sum within the time interval to normalize. Sample Data:

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Date : January 02 2021, 06:48 AM , By : mdiezb

Pandas period(month) to last day of the month in YYYY-MM-DD format

wish of those help I have a pandas period object in YYYY-MM format. I am trying to get the last day of the month from this. , Try with MonthEnd

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Date : January 02 2021, 06:48 AM , By : Josh Tegart

How can I find index of rows just same as a array from a pandas dataframe?

I think the issue was by ths following , Use DataFrame.eq and Series.all:

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Date : January 02 2021, 06:48 AM , By : Xander

Pandas identify # of items which generate 80 of sales

wish of those help I have a dataframe with for each country, list of product and the relevant sales I need to identify for each country how many are of top sales items of which cumulative sales represent 80% of the total sales for all the items in e

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Date : January 02 2021, 06:48 AM , By : chawei

How to add return value from function into dataframe Column?

wish help you to fix your issue Let me sum the comments up. You can't use print to define a string variable. In the function, your new string can be returned immediately. It means time variable is not needed. However, it is not a mistake to define it

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Date : January 02 2021, 06:48 AM , By : Boris

ValueError: key must be provided when HDF5 file contains multiple datasets while reading h5 file in pandas i am getting

wish help you to fix your issue As @AT_asks mentioned in a comment, you have to provide the name of the group that you want to open in the H5 file. If you do not know what the name could be, you can have look at which groups the file contains:

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Date : January 02 2021, 06:48 AM , By : LUK

How to use groupby on the following dataset

seems to work fine Merge on the first part of the name + team_id, then map the indicator values:

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Date : January 02 2021, 06:48 AM , By : Ken

How to determine the end of a non-NaN series in pandas

wish helps you For a data frame , Use back filling missing values with test missing values:

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Date : January 02 2021, 06:48 AM , By : Jason Haar

Categorical variables usage in pandas for ANOVA and regression?

may help you . Finding out likelihood of outcome given columns and Feature importance (1 and 2)Categorical data

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Date : January 02 2021, 06:48 AM , By : ranja

Pandas resample with percentage change

this one helps. I am trying to resample my df to get an yearly data filling by percentage change. , Using resample + interpolate and reshape method stack and unstack

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Date : January 02 2021, 06:48 AM , By : John R

iLocation based boolean indexing on an integer type is not available

To fix this issue You need use DataFrame.loc, because select by labels Bike and Mileage:

TAG : pandas

Date : January 02 2021, 06:48 AM , By : ThF

updating non-null values of a column via function

this one helps. pandas.DataFrame.mask The first argument is the condition and the second argument is what to do at those places where the condition is True. And, mask has an inplace argument to make the call succinct.

TAG : pandas

Date : January 02 2021, 06:48 AM , By : Robert Daniel Pickar

Select the last value in time after multiple groupings

To fix this issue I want to group ‘name’ first, then press ‘day’ to aggregate and select the last value of each ‘name’ every day. , IIUC

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Date : January 02 2021, 06:48 AM , By : bikefixxer

How to add aggregated rows based on other rows in Pandas dataframe

wish helps you Seems you can using sort_values chain with drop_duplicates, then append

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Date : January 02 2021, 06:48 AM , By : Peter Leung

How to search and find a syntax error and then correct the syntax by adding to the string?

To fix this issue If the string in a row is missing the syntax or have uncorrect syntax, i would like to locate that row and edit/correct that syntax for sorting purposes. , Using np.where with str.contains

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Date : January 02 2021, 06:48 AM , By : Tom Berthon

Logic operation: Select two values from a column in a dataframe

may help you . I have a data frame as follows, , is that isin

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Date : January 02 2021, 06:48 AM , By : MK.

apply custom function in numpy array

I wish this help you If you want to check if the sums of the digits are > 20, here a pure numpy solution (here can find how to decompose an integer in its digits):

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Date : January 02 2021, 06:48 AM , By : Boris

Pandas cut results in Nan values

it fixes the issue I have the following column with many missing values '?' in store_data dataframe , IIUC, you may do:

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Date : January 02 2021, 06:48 AM , By : user183954

Replacing values in a df with values from another df

help you fix your problem You can use dict.get() to get the corresponding dictionary values, then create a dataframe by exploding the dataframe and apply crosstab and then merge:

TAG : pandas

Date : January 02 2021, 06:48 AM , By : 小和尚

Update a string in a column based on conditions from a function in a Pandas Dataframe

Does that help I'm trying to clean up a column that contains strings with more information than necessary. I tried searching for substrings or keywords and if found to replace with new string or keyword. , You nee to apply the method to the Item colu

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Date : January 02 2021, 06:48 AM , By : Senthil

unable to change from object type to float64 in pandas

will be helpful for those in need Your code actually works fine for me (Python version 3.6). Try checking your Python version:

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Date : January 02 2021, 05:34 AM , By : mux

Get a new df with the mean values of other dfs

wish help you to fix your issue Use concat with mean per index values:

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Date : January 02 2021, 05:18 AM , By : user134570

Pandas - Rank by sequence of appearance

seems to work fine I have a pandas dataframe: , It's basically an island-and-gap problem.

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Date : January 01 2021, 05:04 PM , By : Priyatna Harun

Pandas read_csv error when file name starts with the letter f

will be helpful for those in need The backslash needs to be escaped in strings. You need to write either

TAG : pandas

Date : January 01 2021, 04:56 PM , By : Kyle

Replacing values in pandas data frame

will be helpful for those in need I am looking for a pythonic way of replacing values based on whether values are big of small. Say I have a data frame: , You can check with clip

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Date : January 01 2021, 02:10 PM , By : Oli

Trying to use apply on a groupby object to add a column to each group

Hope this helps I have a dataframe of prescriptions and each row has a drug name, a postcode, and an items column. For each drug in each postcode, I need to find the sum of items. For example if I group by postcode a given drug will show up in multip

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Date : January 01 2021, 02:10 PM , By : usingtechnology

Convert date format to string in Pandas

I hope this helps . One possible solution with Series.dt.strftime and Series.replace:

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Date : December 31 2020, 03:06 AM , By : Mare Astra

Create a column by comparing two pandas dataframes

I think the issue was by ths following , Hello I am trying to create a new column in a data frame by copying values from a data frame column such that if the value of another column satisfies a condition a based on the columns of other two columns in

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Date : December 31 2020, 02:31 AM , By : Trevor Cortez

after groupby, set subplots into plots next to each-other rather than in one plot

wish help you to fix your issue Consider looping through the groupby object and plot to corresponding axes:

TAG : pandas

Date : December 30 2020, 04:08 PM , By : Atanas

pandas melt dataframe according to time index

will be helpful for those in need I have the following dataframe that I try to 'melt'. , We can just adding the reset_index

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Date : December 30 2020, 04:08 PM , By : user109285

How do I group up data based off a dictionary key with list values?

Hope that helps Use Series.map with swapped keys and lists in dictioanry for 'flatten' dictionary, only necessary unique values in all lists:

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Date : December 27 2020, 04:58 PM , By : Pitmairen

convert pandas datetime field with NAT entries to date

will help you First convert values to datetimes and then working nice dt.date function:

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Date : December 27 2020, 04:53 PM , By : Kbotei

join or merge or reshape dataframe based on two conditions

wish help you to fix your issue Here is one way using pivot_table and combine_first:

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Date : December 27 2020, 04:53 PM , By : ezzze

How do I interpolate a time series, when measurements are taken at irregular times

this will help Assume the following data frame:

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Date : December 27 2020, 03:51 PM , By : jaset

How to apply *multiple* functions to pandas groupby apply?

hope this fix your issue I have a dataframe which shall be grouped and then on each group several functions shall be applied. Normally, I would do this with groupby().agg() (cf. Apply multiple functions to multiple groupby columns), but the functions

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Date : December 27 2020, 03:51 PM , By : AnToni00

after groupby, using agg, how to get one element on condition of other columns

Hope this helps No, you can not use agg with multiple columns. Agg is to aggregate values of a single column, if you must have conditions based on a separate column, you need to use apply.

TAG : pandas

Date : December 27 2020, 03:39 PM , By : pdkent

Using .apply vs subsets

fixed the issue. Will look into that further When you use loc to set a subset on the LHS, you should also subset on the RHS so it's explicit. This will avoid errors in cases where the index might be duplicated.

TAG : pandas

Date : December 27 2020, 03:39 PM , By : Maplye

Adding values of 2 columns based on a condition

Hope this helps First we join the two dataframes together so we can specify a rsuffix so we can distinguish the two DISTANCE columns from both dataframes.Then we use np.where to replace the 0 from the first dataframe with the distance from the 2nd da

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Date : December 26 2020, 01:30 AM , By : Jim Davis

Slicing of a Pandas Series when index elements are not default (doesn't start with 0)

hop of those help? It is working that way because you are printing by row position, not using index:print(ser1[3:])

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Date : December 25 2020, 11:30 PM , By : ck1

Trying to group by but only specific rows based on their value

I hope this helps you . Seperate the dataframe first by using query and getting the rows only with AAAA_living_thing and without. Then use groupby and finally concat them back together:

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Date : December 25 2020, 09:01 PM , By : Jet Thompson

Python Pandas Where Condition Is Not Working

hope this fix your issue Just for the sake of clarity, if you have really floats into your column, which you want into conditional check then it should work.Example DataFrame:

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Date : December 25 2020, 08:01 PM , By : Chaz