Issue I wanted to make pandas date_range dynamic. So, let x = 30 — This can take any values. pd.date_range(start=’2020-01-01′, end=’2020-01-31′, freq=’xH’) ’30H’ is giving result, but not ‘x30’. Can someone please guide me how to make it dynamic? Solution
Continue readingTag: pandas
pandas date_range error "ValueError: Of the three parameters: start, end, and periods, exactly two must be specified"
Issue I have to develop production code to work with pandas 0.22.0. I get ValueError: Of the three parameters: start, end, and periods, exactly two must be specified when I run the following code import pandas as pd pd.date_range(start=’2020-03-20 00:00′,
Continue readingPython date range within 12 months
Issue I want to create a new column if survey_start date is with 12 months prior to start_date then 1 else 0 ID survey_date start_date 1 2019-05-01 2022-05-01 1 2021-05-01 2022-05-01 1 2023-05-01 2022-05-01 1 2021-12-01 2022-05-01 2 2010-01-01 2010-02-01
Continue readingPandas _period_range function not working when extracted date from data frame
Issue I need to access the date range from the data frame and specify in period_range() Issue: Even though I am passing a string as argument, it doesn’t work. Kindly suggest where am I going wrong. Dataframe Below mentioning the
Continue readingMake a list of months and years in Pandas
Issue I am trying to make a date_list that is a range of the months in the last year. It should be formatted [‘Oct 2014’, ‘Nov 2014’, ‘Dec 2014’, ‘Jan 2015’, ‘Feb 2015’,… ‘Sep 2015’] Sometimes it works, and sometimes
Continue readingPandas choose a single value from delimited list in column based on date
Issue Apologies in advance for bad description—I’m struggling to articulate this well. Basically, I have the following data in a Pandas dataframe: id symbols symbol_dates 1 ABC 20070103:29991231 2 DEF;GH 20100307:20141215;20141216:29991231 3 IJ;KLM;NO 20040107:20051105;20051106:20180316;20180317:29991231 4 PQ 20080103:20090613 5 RST;UV 20080206:20150603;20150604:29991231
Continue readingPandas Dataframe – Convert time interval to continuous time series
Issue I have an energy data with a start time and end time interval. I want to distribute the total energy to the continuous time series (dividing total energy to total hours). As I searched the results, I have found
Continue readingPandas CustomBusinessHour reduced performance
Issue I need to reduce the performance of the following operation : st = time.time() bh = CustomBusinessHour(start=’00:00′, end=’23:00′) bdates = pd.date_range(start=’2024-01-01 00:00:00′, end=’2024-12-31 23:00:00′, freq=bh, name=’ts’, closed=None) print_statistics(f'{bdates}’, ‘filter_bp()’, ‘utils.py’, time.time() – st) which gives has the following output
Continue readingPython: Loop over datetimeindex based on different periods
Issue I have a DataFrame and I am trying to loop over the datetmeindex based on different frequencies: data = [[99330,12,122],[1123,1230,1287],[123,101,812739],[1143,12301230,252],[234,342,4546],[2445,3453,3457],[7897,8657,5675], [46,5675,453],[76,484,3735], [363,93,4568], [385,568,367], [458,846,4847], [574,45747,658468], [57457,46534,4675]] df1 = pd.DataFrame(data, index=[‘2022-01-01’, ‘2022-01-02’, ‘2022-01-03’, ‘2022-01-04’, ‘2022-01-05’, ‘2022-01-06’, ‘2022-01-07’, ‘2022-01-08’, ‘2022-01-09’, ‘2022-01-10’,
Continue readingHow do you give a date range then have that daterange be appended to the dataframe?
Issue I know how to generate a daterange using this code: pd.date_range(start=’2022-10-16′, end=’2022-10-19′) How do I get the daterange result above and loop through every locations in the below dataframe? +———-+ | Location | +———-+ | A | | B
Continue readingHow to produce monthly count when given a date range in pandas?
Issue I have a dataframe that records users, a label, and the start and end date of them being labelled as such e.g. user label start_date end_date 1 x 2018-01-01 2018-10-01 2 x 2019-05-10 2020-01-01 3 y 2019-04-01 2022-04-20 1
Continue readingCreating sum of date ranges in Pandas
Issue I have the following DataFrame, with over 3 million rows: VALID_FROM VALID_TO VALUE 0 2022-01-01 2022-01-02 5 1 2022-01-01 2022-01-03 2 2 2022-01-02 2022-01-04 7 3 2022-01-03 2022-01-06 3 I want to create one large date_range with a sum
Continue readingpandas: generate a dataframe, column a: start till end date (months) and two more columns
Issue My question was to generic. Ok, other try. I want a dataframe with monthly dates in the first column a. THen i want to go through the dates and fill the values in row b and c import pandas
Continue readingPandas date_range to generate monthly data at beginning of the month
Issue I’m trying to generate a date range of monthly data where the day is always at the beginning of the month: pd.date_range(start=’1/1/1980′, end=’11/1/1991′, freq=’M’) This generates 1/31/1980, 2/29/1980, and so on. Instead, I just want 1/1/1980, 2/1/1980,… I’ve seen
Continue readinghow to get the shifted index value of a dataframe in Pandas?
Issue Consider the simple example below: date = pd.date_range(‘1/1/2011′, periods=5, freq=’H’) df = pd.DataFrame({‘cat’ : [‘A’, ‘A’, ‘A’, ‘B’, ‘B’]}, index = date) df Out[278]: cat 2011-01-01 00:00:00 A 2011-01-01 01:00:00 A 2011-01-01 02:00:00 A 2011-01-01 03:00:00 B 2011-01-01 04:00:00
Continue readingHow to Merge Values from Some Columns in Python
Issue I have a dataframe in Python below: import pandas as pd df = pd.DataFrame({ ‘CRDACCT_DLQ_CYC_1_MNTH_AGO’ : [3, 2, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’, ‘C’,
Continue readingIncrement dataframe column from a certain value based on condition
Issue I have a dataframe and I want to create a new column based on a condition on a different column. Create the new column "ans" that starts with 2348 and increment based on the column "ix". In the "ix"
Continue readingSorting MultiIndex DataFrame format from columns to variables in Pandas
Issue I have this DataFrame : Age Hgt Wgt x y x y x y 0 26 24 160 164 95 71 1 35 37 182 163 110 68 2 57 52 175 167 89 65 It is a MultiIndex
Continue readingDataframe merging using Pandas
Issue This is my code for dataframing for both df1 and df2. I’m trying to merge these df1 and df2. I’m reading in a table with df1 1127 rows and 1 column, df2 with 284403 rows and 2 columns. import
Continue readingPython: If dataframe has a column name containing a certain string, append column to different dataframe
Issue I’ve seen this answered a lot for values, but not for the column header itself. Say I have my original dataframe, df1: axx byy czz 0 1 2 3 1 4 5 6 And a second dataframe, df2: dd
Continue readingHow to remove upper and lower bounds with Python
Issue I have a dataframe with 2 important columns.One of these important columns is the "Price" column and the other is the "Quantity" column. My dataframe; Price Quantity Total Quantity 5 500 4000 6 100 4000 7 400 4000 8
Continue readingHow to transform combinations of values in columns into individual columns?
Issue I have a dataset (df), that looks like this: Date ID County Name State State Name Product Name Type of Transaction QTY 202105 10001 Los Angeles CA California Shoes Entry 630 202012 10002 Houston TX Texas Keyboard Exit 5493
Continue readingDataframe of different size but no difference in columns
Issue I am realizing an XG Boost model. I did my train-test split on a dataframe having 91 columns. I want to use my model on a new dataframe which have different columns than my training set. I have removed
Continue readingJoining or merging multiple columns within one dataframe and keeping all data
Issue I have this dataframe: df = pd.DataFrame({‘Position1’:[1,2,3], ‘Count1’:[55,35,45],\ ‘Position2’:[4,2,7], ‘Count2’:[15,35,75],\ ‘Position3’:[3,5,6], ‘Count3’:[45,95,105]}) print(df) Position1 Count1 Position2 Count2 Position3 Count3 0 1 55 4 15 3 45 1 2 35 2 35 5 95 2 3 45 7 75 6
Continue readingConvert columns in (.csv) file to (.json) column array in Python
Issue I am trying to convert a (.csv) file to a .json file which is stored in the form of a column array. The input (.csv) file is: This is my desired result: { "wavelength":[0.033962528,0.035974933,0.03801894,0.039994474,0.041975898,0.043954162], "n":[0.842171,0.83072,0.819753,0.809997,0.802291,0.797737], "k":[0.090738197,0.10934279,0.13025372,0.15338756,0.17980019,0.20882868], "alpha":[33573761.42,38194428.97,43052660.58,48194781.27,53826980.05,59703529.05], "absorption_length":[2.98e-8,2.62e-8,2.32e-8,2.07e-8,1.86e-8,1.67e-8] }
Continue readingCan we get columns names sorted in the order of their tf-idf values (if exists) for each document?
Issue I’m using sklearn TfIdfVectorizer. I’m trying to get the column names in a list in the order of thier tf-idf values in decreasing order for each document? So basically, If a document has all the stop words then we
Continue readingSorting Column in Pandas dataframe-Python
Issue I have a dataframe that looks like this: class_id dims 94369_GA_30122 95 27369_GA_30122 14 78369_CA_30122 27 30472_MN_55121 16 and the dataframe goes on… I want to sort my column class_id numerically ascending, that is itt must look like class_id
Continue readingCopy corresponding dataframe column values to new dataframe with fixed column names python
Issue I have a data frame (df1) as shown below. The elements in the 1st column start repeating after a certain number but the corresponding 2nd column elements are unique 0 1 0 A Ok 1 B 1234 2 C
Continue readingReordering Pandas Columns based on Column name
Issue I have columns with similar names but numeric suffixes that represent different occurrences of each column. For example, I have columns (company_1, job_title_1, location_1, company_2, job_title_2, location_2). I would like to order these columns grouped together by the prefix
Continue readingHow to rewrite or add a column start from 1 in python
Issue I have a dataframe like this and I want to re-rank Startup Rank starting from 1,2,3,4… to end. Or can I add a column start from 1,2,3,4…. and remove the Startup Rank column? Solution If you want to preserve
Continue readingCreate dataframe with specific slices out of existing dataframe, based on date variabels
Issue I have the following dataframe (df) with a column ‘date’ and ‘values’. I am looking for a solution how to create a new dataframe from the variables start_MM_DD and end_MM_DD (month and day). For each year a column with
Continue readingHow to split a column into several columns by taking the string values as column headers?
Issue This is my dataset: | Name | Dept | Project area/areas interested | | ——– | ——– |———————————–| | Joe | Biotech | Cell culture//Bioinfo//Immunology | | Ann | Biotech | Cell culture | | Ben | Math |
Continue readingHow to split a column into several columns by taking the string values as column headers?
Issue This is my dataset: | Name | Dept | Project area/areas interested | | ——– | ——– |———————————–| | Joe | Biotech | Cell culture//Bioinfo//Immunology | | Ann | Biotech | Cell culture | | Ben | Math |
Continue readingSplitting data frame in to test and train data sets
Issue Use pandas to create two data frames: train_df and test_df, where train_df has 80% of the data chosen uniformly at random without replacement. Here, what does “data chosen uniformly at random without replacement” mean? Also, How can i do
Continue readingPreparing training data sets
Issue When preparing a training data set, do I need to remove the target variable data from the training data set or is it fine to leave it in? So, should X = df[:,:] in the code below exclude the
Continue readingHow to split in train and test by month
Issue I have a dataframe structured like this Time Z X Y 01-01-18 1 20 10 02-01-18 20 4 15 03-01-18 34 16 21 04-01-18 67 38 8 05-01-18 89 10 18 06-01-18 45 40 4 07-01-18 22 10 13
Continue readingxlsxwriter pandas frame: to highlight rows if there are blank cells within a column
Issue I’m having a pandas frame with column T that has some blank cells. I want to highlight any rows that have blank cells I’ve been trying to use .format but it only highlight the blank cells instead of the
Continue readingChange column type in pandas
Issue I created a DataFrame from a list of lists: table = [ [‘a’, ‘1.2’, ‘4.2’ ], [‘b’, ’70’, ‘0.03’], [‘x’, ‘5’, ‘0’ ], ] df = pd.DataFrame(table) How do I convert the columns to specific types? In this case,
Continue readingIF + AND Statements
Issue I have a ‘Current Result’ in the form of a data frame in Python (depicting in Excel as an illustration). I’d like to add a column that classifies whether a row is a ‘PRIME’ or an ‘ALT’ designation. The
Continue readingWhat the point of creating traing and testing data in kNN?
Issue I’m facing my first machine learning algorithm which is knn, and the thing that has confused me the most is spliting the dataset into training and testing data. With more complicated ms algorithms I can imagine that the computer
Continue readingValueError: multiclass format is not supported
Issue While I am trying to use metrics.roc_auc_score, I am getting ValueError: multiclass format is not supported. import lightgbm as lgb from sklearn import metrics def train_model(train, valid): dtrain = lgb.Dataset(train, label=y_train) dvalid = lgb.Dataset(valid, label=y_valid) param = {‘num_leaves’: 64,
Continue readingSelect a random subset of data
Issue I have a dateset given to me that was previously split in training and validation (test) data. I need to further split the training data into a separate training data and calibration set, I don’t want to touch my
Continue readingHow can I specify a training set and test set from separate dataframes?
Issue I have a dataframe with a mixture of news articles and Facebook posts (full texts) with a corresponding label (a single set of labels for all the texts – both the articles and the posts). However, I want to
Continue readingUsing seperated test and train files with train_test_split()
Issue I have two .csv files that one of them is test.csv and the other one is train.csv. However, as you can predict the test file does not have the target column (‘y’ in this case) while train file has.
Continue readingHow to label multi-word entities?
Issue I’m quite new to data analysis (and Python in general), and I’m currently a bit stuck in my project. For my NLP-task I need to create training data, i.e. find specific entities in sentences and label them. I have
Continue readingPandas Dataframe – Adding Else?
Issue I want to generate Test Data for my Bayesian Network. This is my current Code: data = np.random.randint(2, size=(5, 6)) columns = [‘p_1’, ‘p_2’, ‘OP1’, ‘OP2’, ‘OP3’, ‘OP4’] df = pd.DataFrame(data=data, columns=columns) df.loc[(df[‘p_1’] == 1) & (df[‘p_2’] == 1),
Continue readingHow to correctly generate training data based on percentages?
Issue I have a question. I am currently generating training data for my bayesian network as follows: (also as code down below) -> infected stands for people who are infected (0= not infected, 1= infected) -> p_tests is the result
Continue readingHow to split DF by dates based on another DF
Issue I have two DataFrames (df1, df2), both with a DateTime index type: print(type(df1.index)) => pandas.core.indexes.datetimes.DatetimeIndex print(type(df2.index)) => pandas.core.indexes.datetimes.DatetimeIndex They look like: df1: Sample Date Value_df1 1992-01-02 430.0 1992-01-03 436.0 1992-01-04 439.0 1992-01-05 432.0 1992-01-06 427.0 1992-01-07 427.0 1992-01-08 425.0
Continue readingCombine two columns with same name pandas
Issue I have a list from an API response: list = [[[[‘3200’, ‘house_number’],[‘northline ave’, ‘road’],[‘ste 360’, ‘unit’],[‘greensboro’, ‘city’],[‘27408’, ‘postcode’],[‘7611’, ‘city’],[‘nc’, ‘state’],[‘us’, ‘country’]]]] As you can see I have column road twice, I want to combine two road columns into one.
Continue readingFind the closest values in a sorted pandas dataframe to values in a list
Issue I have seen : How do I find the closest values in a Pandas series to an input number? I have a pandas DataFrame like this : idx col1 col2 1 2 56 2 3 22 3 6 12
Continue readingAttributeError: 'list' object has no attribute 'assign'
Issue I have this dataframe: SRC Coup Vint Bal Mar Apr May Jun Jul BondSec 0 JPM 1.5 2021 43.9 5.6 4.9 4.9 5.2 4.4 FNCL 1 JPM 1.5 2020 41.6 6.2 6.0 5.6 5.8 4.8 FNCL 2 JPM 2.0
Continue readingShow top values in multi-indexed dataframe for each group
Issue I have the following dataframe: Country Sector AU Semiconductor AU Telecom AU Banking AU Telecom AU Semiconductor AU Telecom SE Telecom SE Semiconductor SE Semiconductor SE Semiconductor SE Banking SE Telecom With following code I have created multi-index with
Continue readingSelecting a row in pandas based on all its column values
Issue I would like to locate a specific row (given all its columns values) within a pandas frame. My attempts so far: df = pd.DataFrame( columns = ["A", "B", "C"], data = [ [1, 2, 3], [4, 5, 6], [7,
Continue readingProblems with DataFrame indexing with pandas
Issue Using pandas, I have to modify a DataFrame so that it only has the indexes that are also present in a vector, which was acquired by performing operations in one of the df’s columns. Here’s the specific line of
Continue readingFiltering multiple items in a multi-index Python Panda dataframe
Issue I have the following table: NSRCODE PBL_AWI Area CM BONS 44705.492941 BTNN 253854.591990 FONG 41625.590370 FONS 16814.159680 Lake 57124.819333 River 1603.906642 SONS 583958.444751 STNN 45603.837177 clearcut 106139.013930 disturbed 127719.865675 lowland 118795.578059 upland 2701289.270193 LBH BFNN 289207.169650 BONS 9140084.716743 BTNI
Continue readingProcessing data in one column using split and index based on value in other column pandas
Issue I’m wondering if there’s a nicer way to address the following problem I have a dataframe with the following example structure: Split_key label sub_label A_B_C 7 "" A_B_C 7 "" A_B_C 8 "" A_B_C 8 "" A_B_C 10 ""
Continue readingIs there a way to add regular index numbers to a dataframe with dates as the index?
Issue I am working with dataframes for a uni assignment, but do not have a lot of experience with it. One of the datasets we use automatically puts the date as the index, as you can see in the screenshot
Continue readingPython Pandas replace values if not in value range
Issue I would like to replace all cells of a column if each value IS NOT in a specific value range. E.g. value range between 0 and 10 The function should put np.NaN on all cells which are below 0
Continue readingPython- To fill values with NaN if they are in a specific range of values
Issue I am working on a requirement where I have to fill specific values as NaN if they fall in a particular range of no’s. Below is my code- import pandas as pd data = {‘A’: [1, 2,3,4,5], ‘B’: [3,
Continue readingCalculate mean of list elements inside and outside of range
Issue I have the following dataframe: import pandas as pd mydict = {‘ref_start’: {0: 73, 1: 93, 2: 107, 3:150}, ‘ref_end’: {0: 74, 1: 95, 2: 109, 3:150}} mydf = pd.DataFrame(mydict, columns = ["ref_start", "ref_end"]) Which denotes the start and
Continue readingCalculate median of column with multiple values per cell (ranges)
Issue I have this code df = pd.DataFrame({‘R’: {0: ‘1’, 1: ‘2’, 2: ‘3’, 3: ‘4’, 4: ‘5’, 5: ‘6’, 6: ‘7’}, ‘a’: {0: 1.0, 1: 1.0, 2: 2.0, 3: 3.0, 4: 3.0, 5: 2.0, 6: 3.0}, ‘nv1’: {0: [-1.0],
Continue readingCount values in column with ranges given a specific condition
Issue I have this code df = pd.DataFrame({‘R’: {0: ‘1’, 1: ‘2’, 2: ‘3’, 3: ‘4’, 4: ‘5’, 5: ‘6’, 6: ‘7’}, ‘an’: {0: ‘f’, 1: ‘i’, 2: ‘-‘, 3: ‘-‘, 4: ‘f’, 5: ‘c,f,i,j’, 6: ‘c,d,e,j’}, ‘nv1’: {0: [-1.0],
Continue readingUsing np.select with a column with ranges
Issue I have this code: df = pd.DataFrame({‘r’: {0: ’01’, 1: ’02’, 2: ’03’, 3: ’04’, 4:”},\ ‘an’: {0: ‘a’, 1: ‘b,c’, 2: ”, 3: ‘c,a,b’,4:”}}) yielding the following dataframe: r an 0 01 a 1 02 b,c 2 03
Continue readingRename columns with ranges based on dictionary
Issue I have this dataframe: df = pd.DataFrame( {‘an2’: {0: ‘f’, 1: ‘i’, 2: ”, 3: ”, 4: ‘f’, 5: ‘c,f,i,g’, 6: ‘c,d,e,g’}} ) which yields to: an2 0 f 1 i 2 3 4 f 5 c,f,i,g 6 c,d,e,g
Continue readingConcatenating a string with a range
Issue x= ("bonus") i=[str(i) for i in range(80,121)] for s in i: z=x+s I am trying to get an outcome of bonus80 bonus81 bonus82 … .. bonus120 So I could use the outcome for below code bonus_80=df["Bonus Payout 80%"].values bonus_81=df["Bonus
Continue readingcheck if timestamp column is in date range from another dataframe
Issue I have a dataframe, df_A with two columns ‘amin’ and ‘amax’, which is a set of time range. My objective is to find whether a column in df_B lies between any of the rows of range in df_A ‘amin’
Continue readingPandas: create new column in df with random integers from range
Issue I have a pandas data frame with 50k rows. I’m trying to add a new column that is a randomly generated integer from 1 to 5. If I want 50k random numbers I’d use: df1[‘randNumCol’] = random.sample(xrange(50000), len(df1)) but
Continue readingCategorizing ranges of data in a dataframe using Pandas
Issue I have a timeseries dataframe with data from multiple sites that looks like this: Site Date Variable 1 01/01/2021 -1 1 02/01/2021 0 1 03/01/2021 1 1 04/01/2021 0 1 05/01/2021 -1 1 06/01/2021 0 1 07/01/2021 1 1
Continue readingHow can I make a new column based on values of my index datetime column
Issue I would like to make a new column named ‘state’. And based on the datetime I would like to give a value to the new column. So when it is between: A_start_646 = datetime.datetime(2022,4,27, 11,30,0) S_start_646 = datetime.datetime(2022,4,28, 1,0,0)
Continue readinginsert anchor tags using python in pandas dataframe
Issue I have a list of urls and a list of descriptions in separate columns in a pandas dataframe. I’m trying to figure out a way to use python to insert an anchor tag with a link in the first
Continue readingHow to scrape data from within a comment block and create a dataframe?
Issue I am trying to pull HTML data from baseball-reference.com. I thought going to their website, viewing the page source, the html tags would be within the html code itself. However, after further investigation, the set of html tags that
Continue readingpandas dataframe to html – border not accurate
Issue I have a dataframe like as below test_id,status,total,cnt_days,age 1,passed,234%,3,21 2,passed,54%,5,29 11,failed,21%,4,35 15,failed,20%.21,6,57 51,passed,23%,21,80 75,failed,12%,32,43 df1 = pd.read_clipboard(sep=’,’) My objective is to a) Have dark border lines between rows and column using black color b) Use Green color for header
Continue readingConvert pandas df to html table and apply color to pandas row based on a criteria
Issue I have a dataframe like as below test_id,status,revenue,cnt_days,age 1,passed,234.54,3,21 2,passed,543.21,5,29 11,failed,21.3,4,35 15,failed,2098.21,6,57 51,passed,232,21,80 75,failed,123.87,32,43 df1 = pd.read_clipboard(sep=’,’) I would like to color the rows when revenue is greater than 500. So, I used pretty_html_table found here So, I tried
Continue readingMap different column values with website context
Issue I have a dataframe like this: df1 = pd.DataFrame({ "index": ["EXEC sp_delete_job", "exec sp_add_job", "something else","exec sp_add_jobserver"], "index1": ["NaN", "NaN", "NaN", "exec sp_delete_job"], "index2": ["EXEC sp_droplogin", "EXEC sp_delete_job", "NaN", "something else"], "index3": ["EXEC sp_droplogin", "EXEC sp_delete_job", "exec sp_add_job", "exec
Continue readingPandas' read_html not reading html tables
Issue I am trying to see if I can use, and only use, Pandas’ read_html function to scrape HTML tables from the following website: https://www.baseball-reference.com/teams/ATL/2021.shtml I can fulfil my needs using selenium/bs but want to see if I can scrape
Continue readingEmptyDataError : No columns to parse from file
Issue I’m trying to write a flask code in VSCode that reads a CSV file and displays it on the browser as a table. This is the .py code: from flask import Flask,render_template,request import os import pandas as pd app=Flask(__name__)
Continue readingHow to concatenate two pandas stylers that have the same columns?
Issue I have two dataframes that have different styles but with the same columns. This is a minimal example, with less data and simpler styles (I had some complicated highlighting instead of highlight_max) import pandas as pd data = pd.DataFrame({‘maturity’:
Continue readingHow to concatenate two pandas stylers that have the same columns?
Issue I have two dataframes that have different styles but with the same columns. This is a minimal example, with less data and simpler styles (I had some complicated highlighting instead of highlight_max) import pandas as pd data = pd.DataFrame({‘maturity’:
Continue readingReferencing table number as variable in pandas python
Issue Try to pass a variable inside a table reference for pd.read_html command. Extract of the code given below. Is there a workaround to assign the number dynamically? Here want the 6th table in the webpage. There are multiple tables
Continue readingStyling pandas dataframe to show negative numbers in red
Issue I am trying to following the instructions here to apply styling to a pandas dataframe. However I can’t understand how to combine the elements of set_table_styles() and df.style.applymap() Here is my code: df = pd.DataFrame([[1,2,3,4], [5,6,7,8], [3,-5,6,7]], columns=[‘Foo’, ‘Bar’,
Continue readingHow can I get consistent length for all the attributes and also the correct information when compared to the detail page
Issue How can I get consistent length for all the attributes and also the correct information when compared to the detail page. Although I’m able to create a DataFrame but I have to make the length consistent which makes the
Continue readingHow can I split the price to get one price
Issue How can I split the output into two and get only the first or second part I tried this all_original_price = [o.text.split(‘>’).split(‘₹’) for o in all_original_price] but it did not work from bs4 import BeautifulSoup as soup import pandas
Continue readinghow to skip the first table, and skip the second table head during parsing a local html file in python?
Issue I am trying to parse a local html file, I don’t know why same codes resulted differently between sample html text and the whole html file. Can anyone help? I really appreciate it. The sample html text: s =
Continue readingDifficulty extracting HTML table with Python and Pandas
Issue I am trying to extract data from the HTML table on the following website: https://fuelkaki.sg/home My Python code is as shown below. Pandas is unable to detect the Table. I suspect it is because Beautiful Soup is not able
Continue readingHow do you drop a header from a Pandas Dataframe formed by Scraping a Table using Beautifulsoup? (Python)
Issue I scraped a table from pro-football-reference and created a Dataframe but seem to be running into an issue due to the need to convert the html to a string. from bs4 import BeautifulSoup as bs import requests import pandas
Continue readingUnable to remove empty space in Pandas + Gibberish output in CSV
Issue I extracted some information from a HTML table, reorganized the data and tried to output the data to a CSV file. However, I’m seeing a lot of gibberish in the ‘price’ column of the output CSV (see below). When
Continue readingHow to convert a dropdown selection menu element in HTML/URL to Pandas Dataframe?
Issue While creating datasets for matching and extracting IDs and SubIDs with their names I have the following code in HTML after getting the file from requests module – <div class=”feature”> <h5>Network</h5> <div> <div class=”row”> <ul class=”tree network-tree”> <li class=”classification
Continue readingHow to Edit Header Row in Pandas – Styling
Issue I understand from here: How can I change the styles of pandas DataFrame headers?, that pandas column row is set by the set_table_styles method. I do not know the HTML code for the table styles. Can someone please help
Continue readingFormatting of dataframe index and columns using styler
Issue I am quite new with html and the pandas dataframe styler, but here is my problem: I wrote the following code import pandas as pd df = pd.DataFrame([1000000.0, 1000000.0], index=pd.bdate_range(‘2017-08-01’, ‘2017-08-02’)) styler = df.style styler = styler.format(“{:,.0f}”) styler =
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