Category "pandas"

How to create if and catch (exception)for this code of scrapy

so I want to scrape the data of multiple URLs and retrieve all the information. but I can only scrape from 1 URL if more than 1 URL will be an error (list index

Python - adding number to a value returned by a function

Following code correctly displays number 31: str = 15 print(str+16) Following code also correctly prints lengths of each column in a pandas' dataframe: df = pd

How to remove constant prefix and suffix character [duplicate]

I have a data frame where numeric data is stored in String with some Prefix character which I need to remove. On top of this it has double quo

Option for dataframe-image module (convert a styled DataFrame to image) that the creator stopped updating and supporting

Always the best answers here from the community and that the image is perfectly formatted, that perfectly fits the columns according to the data, without loss o

Formating a frequency dataframe to a table and a histogram

If I have a frequency table like below: ret < -1(%) -1 < ret < -0.5(%) -0.5 < ret < 0(%) 0 < ret < 0.5(%) 0.5 < ret <

How to create bar graph with table attached to it using plotly dash?

I want to create bar graph for different communication interfaces and for different build versions . Somewhat similar to this : In my case ,the table header wi

How To Find New Business MRR From Existing MRR in Pandas

Current Code is whole MRR but How to find New Business MRR cnts=[] dat =[] tp = [] mnth = [] for i in date_range: df3 = df[(df.TotalPrice > 0) & (df.

Insert new data to dataframe

I have a dataframe employees = [('Jack', 34, 'Sydney' ) , ('Riti', 31, 'Delhi' ) , ('Aadi', 16, 'London') , ('

Update column values based on another dataframe's index

I have the following dataframes: NUMS = ['1', '2', '3', '4', '5'] LETTERS = ['a', 'b', 'c'] df1 = pd.DataFrame(index=NUMS, columns=LETTERS) a b c 1 N

Collapse pandas DataFrame based on daily column value

I have a pandas DataFrame with multiple measurements per day (for example hourly measurements, but that is not necessarily the case), but I want to keep only th

Keyerror when processing pandas dataframe

For a pathway pi, the CNA data of associated genes were extracted from the CNV matrix (C), producing an intermediate matrix B∈Rn×ri⁠, where ri

Pandas Data Frame - Remove Overlapping Intervals

Suppose that you have a Pandas data frame that can be created using code below: test_df = pd.DataFrame( {'start_date': ['2021-07-01', '2021-07-02', '2021-07

Pandas Pivot is not producing desired output

I my data looks like below. I am trying to pivot the dataframe such that SCHEMA NAME AND TABLE NAME are in columns and Row Count, Table Type, date created and D

How to create and assign indexes for each group in a dataframe

[This is DataFrame loaded with data from an Excel file] STUDY Teacher UPDATE_DATE 0 math A 2022-02-25 1 math

Python Pandas. How to extract single column from downloaded yahoo_fin option chain data?

What is the proper way to extract a single column from downloaded option_chain from yahoo_fin? My code for EXXON MOBILE option chains: from yahoo_fin import opt

How to Merge two datasets with different indexes but one common ID factor?

I am working with two distinct datasets: one regarding COVID-19 statistics and one with demographic characteristics of a city. The covid19 one, namely covid.df

How to append row value to the other column

I have a table that includes two columns: P_SEG SEG_ID 1 [2, 4] 2 [4, 3,5] I want to create a new column that includes the 1st column value in the second colu

How to preform loc with one condition that include two columns

I have df with two columns A and B both of them are columns with string values. Example: df_1 = pd.DataFrame(data={ "A":['a','b','c'], "B":['a x d','z y

Python- How to Combine 2 pandas.core.frame =.dataframe with the same column name together in python [duplicate]

So i got 2 pandas.core.frame.DataFrame like this: anomalies: Sales outlet Date 2006-07-01 700 2 a

Trying to get the minimum date and getting TypeError: '<' not supported between instances of 'datetime.datetime' and 'int'

i'm reading from an excel file GA = pd.read_excel("file.xlsx", sheet_name=0, engine= "openpyxl") The data type is: Email object Date datetime64[ns] Name object