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PANDAS QUESTIONS

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 : October 19 2020, 06:10 PM , By : Prophetess Anya Kell
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 : October 18 2020, 06:10 PM , By : KingD
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 : October 17 2020, 06:10 AM , By : Venkatesh Reddy
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 : October 16 2020, 06:10 AM , By : Serg Kyrpal
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 : October 14 2020, 06:10 PM , By : Egor Pozin
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 : October 14 2020, 12:00 AM , By : Ted
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 : October 13 2020, 08:00 PM , By : Mary Mock
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 : October 13 2020, 06:00 PM , By : harish
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 : October 13 2020, 04:00 PM , By : Jai Gupta
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 : October 13 2020, 01:00 PM , By : ryannazr
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 : October 13 2020, 08:00 AM , By : Yas
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 : October 13 2020, 04:00 AM , By : Test dev
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 : October 13 2020, 03:00 AM , By : Filip Mit F
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 : October 12 2020, 09:00 PM , By : Rookie123
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 : October 12 2020, 06:00 PM , By : StoneShi
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 : October 12 2020, 12:00 PM , By : Sera
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 : October 12 2020, 09:00 AM , By : capercas
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 : October 12 2020, 08:00 AM , By : ALI.Boulerouah
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 : October 12 2020, 07:00 AM , By : hamed kanary
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 : October 12 2020, 06:00 AM , By : Awais Khan
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 : October 12 2020, 05:00 AM , By : Thariq Azeez
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 : October 11 2020, 08:00 AM , By : toysoldier
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 : October 11 2020, 05:00 AM , By : user6032662
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 : October 10 2020, 11:00 PM , By : Sylvain Cossement
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 : October 10 2020, 07:00 PM , By : 15ce108
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 : October 10 2020, 06:00 PM , By : tyraelium
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 : October 09 2020, 05:00 PM , By : yash kumar
Name not defined in a for loop
Name not defined in a for loop
fixed the issue. Will look into that further That's not a pandas specific question, but a general python question. You accessed variable example, that was not defined before. It is not created implicitely when you do example[i]= (in fact the interpre
TAG : pandas
Date : October 09 2020, 08:00 AM , By : Safar
stop pandas from renaming columns with same name so i can use wide to long
stop pandas from renaming columns with same name so i can use wide to long
this will help The column numbering is problematic for pd.wide_to_long, so we need to modify the first instance of the column names, adding a .0, so they don't conflict with the stubs. Sample Data
TAG : pandas
Date : October 09 2020, 04:00 AM , By : Rahim Shaikh
Docker build failing while installing pandas in docker in python2.7-alpine
Docker build failing while installing pandas in docker in python2.7-alpine
hope this fix your issue I am running a flask application in Docker. I am also using Pandas. I am using python2.7-alpine image. Earlier it was working fine i.e. I was able to build images with the same configuration. , The error tells you the reason:
TAG : pandas
Date : October 08 2020, 08:00 PM , By : RiverVisions
Fastest way to get a cumulative list in pandas DataFrame with multi-index, grouped by index
Fastest way to get a cumulative list in pandas DataFrame with multi-index, grouped by index
I think the issue was by ths following , So I have a data frame that looks like , May be not the most elegant:
TAG : pandas
Date : October 08 2020, 08:00 AM , By : nat
import pandas results in ModuleNotFoundError :_lzma
import pandas results in ModuleNotFoundError :_lzma
I wish did fix the issue. I was running into this exact same issue today! I was able to fix it though.Pandas just put out a new version 0.25.0 on July 18th and changing the version back to 0.24.2 fixed this issue for me.
TAG : pandas
Date : October 07 2020, 10:00 PM , By : golla
Create a new column with IF-THEN in grouped pandas df
Create a new column with IF-THEN in grouped pandas df
To fix this issue Note that in groupby.apply the function is applied to the whole group. On the other hand, each if condition must boil down to a single value (not to any Series of True/False values).So each comparison of 2 columns in this function m
TAG : pandas
Date : October 07 2020, 04:00 PM , By : Vamsi Krish
groupby list of lists of indexes
groupby list of lists of indexes
With these it helps I have a list of np. arrays, representing indexes of pandas dataframe. , I still using for-loop to create the groupby key dict
TAG : pandas
Date : October 07 2020, 04:00 PM , By : padmini
Multindex Join, Column Names
Multindex Join, Column Names
I hope this helps . I have a DataFrame df1 with columns logfile, pos, category, value. , You can simply use as_index=False in the groupby operation.
TAG : pandas
Date : October 07 2020, 08:00 AM , By : rskotecha
How to count the number of categorical features with Pandas?
How to count the number of categorical features with Pandas?
it helps some times Use DataFrame.get_dtype_counts:
TAG : pandas
Date : October 07 2020, 06:00 AM , By : Oleksandr Tsukanov
Get_dummies produces more columns than its supposed to
Get_dummies produces more columns than its supposed to
hop of those help? I'm using get_dummies on a column of data that has zeroes or 'D' or "E". Instead of producing 2 columns it produces 5 - C, D, E, N, O. I'm not sure what they are and how to make it do just 2 as its supposed to. , Setup
TAG : pandas
Date : October 06 2020, 06:00 PM , By : Van B
select DataFrame Rows Based on multiple conditions on columns when column name are in a list
select DataFrame Rows Based on multiple conditions on columns when column name are in a list
should help you out I need to filter rows on certain conditions on some columns. Those columns are present in a list. Condition will be same for all columns or can be different. For my work, condition is same. , I think you are able to re-write this
TAG : pandas
Date : October 06 2020, 04:00 PM , By : Trevor Panarello
One hot encoding when a string is in column of dataframe
One hot encoding when a string is in column of dataframe
To fix this issue If columns is filled by strings use Series.str.strip with Series.str.get_dummies and DataFrame.join for add original column, also if necessary strip '' from columns names by rename:
TAG : pandas
Date : October 06 2020, 12:00 PM , By : Pulkit Chhabra
How to filter on values above x number?
How to filter on values above x number?
around this issue I don't know if i have fully understood the question but the first part you are looking for the conditional check for the math_score column which can be achieved as follows.Sampling DataFrame from your given dataset:
TAG : pandas
Date : October 05 2020, 06:00 PM , By : Xuejiao Zhang
Concatenation error (Wrong number of items passed x, placement implies 1)
Concatenation error (Wrong number of items passed x, placement implies 1)
wish helps you I have a dataframe like so: , Try using np.where
TAG : pandas
Date : October 04 2020, 05:00 PM , By : Thales Rocha
convert dates to int in pandas
convert dates to int in pandas
this one helps. First subtract column by Timestamp, convert timedelts to days by Series.dt.days and last add 1:
TAG : pandas
Date : October 04 2020, 05:00 AM , By : Zair Skyborne
Resolving error when merging dataframes on two columns
Resolving error when merging dataframes on two columns
I hope this helps you . In your description of DataFrames we can see,In D1 DataFrame column Date has type "object"
TAG : pandas
Date : October 03 2020, 03:00 PM , By : Bogdan
How to select by 1 xbar date/second in kdb+
How to select by 1 xbar date/second in kdb+
I hope this helps . NB: It is easiest for us to assist you if you provide code that can replicate a sample of the kind of table that you are working with. Otherwise we need to make assumptions about your data.Assuming that your time column is of time
TAG : pandas
Date : October 03 2020, 03:00 PM , By : alitt
Installing Pandas for PyPy on Alpine Linux?
Installing Pandas for PyPy on Alpine Linux?
I wish this helpful for you the solution would be to provide prebuilt versions for Alpine Linux. Someone has to do the work of building them and uploading to a public site. It seems the distro provides these for cpython, perhaps they could be convinc
TAG : pandas
Date : October 03 2020, 12:00 PM , By : Nuno Santos
Extremely high memory usage with pyarrow reading gzipped parquet files
Extremely high memory usage with pyarrow reading gzipped parquet files
To fix the issue you can do There was a memory usage issue in pyarrow 0.14 that has been resolved: https://issues.apache.org/jira/browse/ARROW-6060The upcoming 0.15 release will have this fix, as well as a bunch of other optimizations in Parquet read
TAG : pandas
Date : October 03 2020, 09:00 AM , By : Peter Yanni
Random Choice loop through groups of samples
Random Choice loop through groups of samples
This might help you I have a df containing column of "Income_group", "Rate", and "Probability", respectively. I need randomly select rate for each income group. How can I write a Loop function and print out the result for each income bin. , Shooting
TAG : pandas
Date : October 02 2020, 04:00 PM , By : Богдан Клименко
Calculating win percentage for individual teams based on pandas df
Calculating win percentage for individual teams based on pandas df
around this issue We can use np.choose to select the winner, and perform .value_counts() on both the winner and both teams, and thus calculate the ratio with:
TAG : pandas
Date : October 02 2020, 03:00 PM , By : lyonling
Pyarrow for parqet files, or just pandas?
Pyarrow for parqet files, or just pandas?
I hope this helps . Are there any pros or cons using pyarrow to open csv files instead of pd.read_csv?
TAG : pandas
Date : October 02 2020, 02:00 PM , By : Iaroslav Mezin
how to find column whose name contains a specific string
how to find column whose name contains a specific string
help you fix your problem You can use df.filter regex param here:
TAG : pandas
Date : October 02 2020, 07:00 AM , By : Archana Singh
how to plot bar gaps in pandas dataframe with timedelta and timestamp
how to plot bar gaps in pandas dataframe with timedelta and timestamp
This might help you You can use DataFrame.resample to create a new DataFrame to to verify the existence of time spaces. To check use DataFrame.isin
TAG : pandas
Date : October 02 2020, 02:00 AM , By : Matthew Dovydaitis
Pandas running sum
Pandas running sum
this will help I have a pandas dataframe and it is something like this: , Based on your logic:
TAG : pandas
Date : October 01 2020, 05:00 PM , By : Sai
I am not able to upload the github data link to Google Colab
I am not able to upload the github data link to Google Colab
may help you . what I am trying: url ='https://github.com/Anubhav1107/Machine_Learning_A-Z/blob/master/Part%202%20-%20Regression/Section%205%20-%20Multiple%20Linear%20Regression/50_Startups.csv' , Use this instead.
TAG : pandas
Date : October 01 2020, 01:00 PM , By : Mike Sadler
Plotting certain bars in a series and groupnig the rest in one bar
Plotting certain bars in a series and groupnig the rest in one bar
seems to work fine Imagine I have the series with the column that has various different values such as: , You can do a map then groupby.sum():
TAG : pandas
Date : September 30 2020, 07:00 PM , By : Cesar Orozco
I removed infinite values from my dataset but it didnt work?
I removed infinite values from my dataset but it didnt work?
To fix the issue you can do You used .dropna() and this won't work with infinite values immediatly. I would use replace followed by .dropna(). The problem with your code is you should redefine your main_df regardless of passing the argument inplace=T
TAG : pandas
Date : September 30 2020, 02:00 PM , By : Samadhi Sri Udara Wi
how to enable Apache Arrow in Pyspark
how to enable Apache Arrow in Pyspark
I wish did fix the issue. We made a change in 0.15.0 that makes the default behavior of pyarrow incompatible with older versions of Arrow in Java -- your Spark environment seems to be using an older version.Your options are
TAG : pandas
Date : September 30 2020, 12:00 PM , By : Rick D
Merge values with missing Series Index with a main index
Merge values with missing Series Index with a main index
To fix this issue Use Series.reindex by index values and fill_value=0 for replace missing values:
TAG : pandas
Date : September 30 2020, 10:00 AM , By : Lili Li
How to compute mean for different size subsets within pandas dataframe?
How to compute mean for different size subsets within pandas dataframe?
like below fixes the issue compute mean of particular column for each unique subset of rows in pandas dataframe. In following example each subset is till 1 appears in column "Flag" i.e. (54+34+78+91+29)/5 = 57.2 and (81+44+61)/3 = 62.0 , Create the g
TAG : pandas
Date : September 29 2020, 10:00 PM , By : Yin Zheng
How to merge categorical values that are actually same in pandas?
How to merge categorical values that are actually same in pandas?
seems to work fine I have class-category column. It's named badly slightly but categorical values are actually same. They are all in same column. I need to replace all repeating values with 'class1'. there should be only 3 values in the column: class
TAG : pandas
Date : September 29 2020, 09:00 PM , By : Pierre
Pandas Normalization using groupby
Pandas Normalization using groupby
it fixes the issue groupby.cumcount
TAG : pandas
Date : September 29 2020, 09:00 AM , By : Jimmy Thigpen

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