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PANDAS QUESTIONS

Pandas fill missing value with most common value with filter?
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
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
TAG : pandas
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
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
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?
TAG : pandas
Date : January 07 2021, 03:08 PM , By : Tim Coffman
Finding duplicate records and subset for a clean dataset
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
TAG : pandas
Date : January 07 2021, 07:50 AM , By : xguru
How to use df.rolling(window, min_periods, win_type='exponential').sum()
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:
TAG : pandas
Date : January 07 2021, 07:50 AM , By : Jonathan Bernard
Create pandas dataframe from set of dictionaries
Create pandas dataframe from set of dictionaries
may help you . here is the docs from_records
TAG : pandas
Date : January 02 2021, 06:48 AM , By : user142345
Any fix for UserWarning: pyarrow.open_stream is deprecated, please use pyarrow.ipc.open_stream?
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
TAG : pandas
Date : January 02 2021, 06:48 AM , By : alchemist
Reading values within pandas.groupby
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
TAG : pandas
Date : January 02 2021, 06:48 AM , By : Verbal
Perform operations after styling in a dataframe
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
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:
TAG : pandas
Date : January 02 2021, 06:48 AM , By : nonkelhans
Cannot open a csv file
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
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:
TAG : pandas
Date : January 02 2021, 06:48 AM , By : cjdavis
Why does changing "Date" column to datetime ruin graph?
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
TAG : pandas
Date : January 02 2021, 06:48 AM , By : lili
Datetime column coerced to int when setting with .loc and slice
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
TAG : pandas
Date : January 02 2021, 06:48 AM , By : vitorcoliveira
analysis of groups in pandas dataframe
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:
TAG : pandas
Date : January 02 2021, 06:48 AM , By : mdiezb
Pandas period(month) to last day of the month in YYYY-MM-DD format
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
TAG : pandas
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?
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:
TAG : pandas
Date : January 02 2021, 06:48 AM , By : Xander
Pandas identify # of items which generate 80 of sales
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
TAG : pandas
Date : January 02 2021, 06:48 AM , By : chawei
How to add return value from function into dataframe Column?
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
TAG : pandas
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
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:
TAG : pandas
Date : January 02 2021, 06:48 AM , By : LUK
How to use groupby on the following dataset
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:
TAG : pandas
Date : January 02 2021, 06:48 AM , By : Ken
How to determine the end of a non-NaN series in pandas
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:
TAG : pandas
Date : January 02 2021, 06:48 AM , By : Jason Haar
Categorical variables usage in pandas for ANOVA and regression?
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
TAG : pandas
Date : January 02 2021, 06:48 AM , By : ranja
Pandas resample with percentage change
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
TAG : pandas
Date : January 02 2021, 06:48 AM , By : John R
iLocation based boolean indexing on an integer type is not available
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
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
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
TAG : pandas
Date : January 02 2021, 06:48 AM , By : bikefixxer
How to add aggregated rows based on other rows in Pandas dataframe
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
TAG : pandas
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?
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
TAG : pandas
Date : January 02 2021, 06:48 AM , By : Tom Berthon
Logic operation: Select two values from a column in a dataframe
Logic operation: Select two values from a column in a dataframe
may help you . I have a data frame as follows, , is that isin
TAG : pandas
Date : January 02 2021, 06:48 AM , By : MK.
apply custom function in numpy array
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):
TAG : pandas
Date : January 02 2021, 06:48 AM , By : Boris
Pandas cut results in Nan values
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:
TAG : pandas
Date : January 02 2021, 06:48 AM , By : user183954
Replacing values in a df with values from another df
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
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
TAG : pandas
Date : January 02 2021, 06:48 AM , By : Senthil
unable to change from object type to float64 in pandas
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:
TAG : pandas
Date : January 02 2021, 05:34 AM , By : mux
Get a new df with the mean values of other dfs
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:
TAG : pandas
Date : January 02 2021, 05:18 AM , By : user134570
Pandas - Rank by sequence of appearance
Pandas - Rank by sequence of appearance
seems to work fine I have a pandas dataframe: , It's basically an island-and-gap problem.
TAG : pandas
Date : January 01 2021, 05:04 PM , By : Priyatna Harun
Pandas read_csv error when file name starts with the letter f
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
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
TAG : pandas
Date : January 01 2021, 02:10 PM , By : Oli
Trying to use apply on a groupby object to add a column to each group
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
TAG : pandas
Date : January 01 2021, 02:10 PM , By : usingtechnology
Convert date format to string in Pandas
Convert date format to string in Pandas
I hope this helps . One possible solution with Series.dt.strftime and Series.replace:
TAG : pandas
Date : December 31 2020, 03:06 AM , By : Mare Astra
Create a column by comparing two pandas dataframes
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
TAG : pandas
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
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
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
TAG : pandas
Date : December 30 2020, 04:08 PM , By : user109285
How do I group up data based off a dictionary key with list values?
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:
TAG : pandas
Date : December 27 2020, 04:58 PM , By : Pitmairen
convert pandas datetime field with NAT entries to date
convert pandas datetime field with NAT entries to date
will help you First convert values to datetimes and then working nice dt.date function:
TAG : pandas
Date : December 27 2020, 04:53 PM , By : Kbotei
join or merge or reshape dataframe based on two conditions
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:
TAG : pandas
Date : December 27 2020, 04:53 PM , By : ezzze
How do I interpolate a time series, when measurements are taken at irregular times
How do I interpolate a time series, when measurements are taken at irregular times
this will help Assume the following data frame:
TAG : pandas
Date : December 27 2020, 03:51 PM , By : jaset
How to apply *multiple* functions to pandas groupby apply?
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
TAG : pandas
Date : December 27 2020, 03:51 PM , By : AnToni00
after groupby, using agg, how to get one element on condition of other columns
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
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
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
TAG : pandas
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)
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:])
TAG : pandas
Date : December 25 2020, 11:30 PM , By : ck1
Trying to group by but only specific rows based on their value
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:
TAG : pandas
Date : December 25 2020, 09:01 PM , By : Jet Thompson
Python Pandas Where Condition Is Not Working
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:
TAG : pandas
Date : December 25 2020, 08:01 PM , By : Chaz
Reindexing to Add Date Indices Not Working as Expected
Reindexing to Add Date Indices Not Working as Expected
I wish this helpful for you I have a DataFrame with this format , IIUC
TAG : pandas
Date : December 25 2020, 06:01 PM , By : lili
How to count percentage row by row with multi-index
How to count percentage row by row with multi-index
I hope this helps . Divide GroupBy.cumsum with GroupBy.cumcount, multiple by 100 and if necessary round:
TAG : pandas
Date : December 25 2020, 12:01 PM , By : user183275
Insert a list to row in pandas?
Insert a list to row in pandas?
fixed the issue. Will look into that further The data may look like this , Use .loc to select the first row, then insert your list:
TAG : pandas
Date : December 25 2020, 11:01 AM , By : Brianna
Pandas Count Number of On/Off Events and Duration
Pandas Count Number of On/Off Events and Duration
wish of those help Create a mask, which gives you the number of events. Then subtract to get the time difference.
TAG : pandas
Date : December 25 2020, 10:30 AM , By : LUK

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