import requests from geopy.geocoders import Nominatim import streamlit as st import numpy as np import pandas as pd import random, string print('ville :') code
I have the following dataframe: import pandas as pd import numpy as np from numpy import rec, nan df1=pd.DataFrame.from_records(rec.array([(202001L, 2020L, 'app
I am trying to find the rolling price slope of btc trading data (minute data) using pandas. When I run the script, the following error / warning pops up sys:1:
I am trying to find the rolling price slope of btc trading data (minute data) using pandas. When I run the script, the following error / warning pops up sys:1:
I want to update my models by an editable plotly dash-table (populated by a dataframe, himself populated by sqlconnection with models) in Django but I don't kno
Curious if there is a way to convert a string into an integer, only during the sort_values() process, or if it's easier to convert the variable to an integer pr
I have the following code, but when I run it I receive the error: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling fra
I am trying to export SQL table as multi-character delimited text file in python. I have tried using Pandas, but it is only supporting single character as delim
array([1500, 1520, 1540, 1590, 1590, 1600, 1600, 1560, 1560, 1560, 1580, 1520, 1460, 1510, 1520, 1320, 1320, 1300, 1300, 1320, 1320, 1320, 132
I have two xlsx files that have multiple tabs. I need to compare values in each tab based on the tab name. (e.g. sheet1 in file1 needs to be compared with sheet
I have a pandas series with string indices and integer values: (My actual series has >1000 entries) Count apple 1 bear 2 cat 3 Apple 10 pig 20 Cat 30 ApPl
I was trying to calculate the week number starting from first Monday of October. Is there any functions in pandas or datetime to do the calculation efficiently?
I am trying to create a dataframe for Sankey chart in Power BI which needs source and destination like this. id Source Destination 1 Starting a next point b 1
I've been researching this topic for a few days now and have yet to come up with a working solution. Apologies if this question is repetitive (although I have c
I want to create two column from an existing column which contains nested list of list as values. Rows of record consisting of 3 companies participant and their
I have a data frame object in pandas with columns (let's say) "group". There are 20 groups. I want to apply a function (sum) to multiple rows of the same groups
I have a dataframe as shown below: Col A Time Col B Col C 123 2018-01-06 03:45:23 B 1 141 2018-01-08 12:45:55 C 0 123 2018-01-08 11:45:29 A 0 123 2018-01-08 01
I ran into a strange observation where the same code works with np.float64 but not with np.float32 or np.float16. Here's code to reproduce the results: >>
I am trying to expand a dataframe containing a number of columns by creating rows based on the interval between two date columns. For this I am currently using
I'm working with a very long dataframe, so I'm looking for the fastest way to fill several columns at once given certain conditions. So let's say you have this