I exported my BigQuery data to CSV but can't figure out how to clean up the data as the headers are all appended on the backend in the same row. Here's my code:
I have one data frame with multiple columns as mentioned below. df1 a b c d e f dr1 a1 de1 dr2 a2 de2 dr3 a3 de3 dr4 a4
I want to evaluate the accuracy of my mask rcnn model more over i want to analyse my evaluation by seeing the accuracy and loss graph. So please help me to find
I have a data set as of below & I want to filter data from 2021-07-30 to 2021-08-03 Below is the dataset input.csv created_at,text,label 2021-07-24,Newzelan
import pandas as pd import numpy as np zeros=np.zeros((6,6)) arra=np.array([zeros]) rownames=['A','B','C','D','E','F'] colnames=[['one','tow','three','four','f
I have the following data. There are consecutive runs of True per day, however sometimes there's the odd False for a day followed by True. Due to the nature of
I have a data frame that looks like the one below: DF.head(20): time var1 var2 prob 12:30 10 12 85 12:31 15
s_id PSC pbx 4 pbx 5 pbx 7 pby 8 pbn 8 pby 7 pbn 8 now check PSC of pbx does not clash bt PSC of pbn clashed
I have the following dataframe in Python that lists team lineage for a Formula 1 team in that it identifies when teams change name and what they change to: impo
I'm new to Python and I'm trying to adjust this code to my data: import random import pandas as pd import numpy as np import matplotlib.pyplot as plt import mat
Say my data looks like this: date,name,id,dept,sale1,sale2,sale3,total_sale 1/1/17,John,50,Sales,50.0,60.0,70.0,180.0 1/1/17,Mike,21,Engg,43.0,55.0,2.0,100.0 1
I have two datasets that have monthly frequencies. For one of them,df, I had to aggregate some data to turn it from daily to monthly using the following code: d
I am a new python user just for finish the homework. But I am willing to dig deeper when I meet questions. Ok the problem is from professor's sample code for d
I have a DF that looks like: date volume open close high low previous close 2022-05-02 1756159.0 118.38 119.57 120.34 116.49 2022-05-03 3217838.0 119.72 122.4
The code used to plot the box plot: import seaborn as sns ax= sns.boxplot(x = "Current_Sim_Az_obj1",y= "RUT_Distance",data = df2,whis = (0,100),meanline= True,s
I'm new to python and trying to learn it on the go, i'm tring to make a data entry phonebook using python with pandas. There is the code I wrote: import pandas
I have a data frame like this data = [['Ma', 1,'too'], ['Ma', 1,'taa'], ['Ma', 1,'tuu',],['Ga', 2,'too'], ['Ga', 2,'taa'], ['Ga', 2,'tuu',]] df = pd.DataFra
I was solving this question on SO and faced a few problems with the methods I was trying. OP has a list which looks like this, a = [[[100, 90, 80, 255],
#i am getting url error how do i resolve it C:\Python\python.exe E:/data_science/Python_basic/module1_eda/EDA.py Traceback (most recent
From the official documentation of pandas.to_datetime we can say, unit : string, default ‘ns’ unit of the arg (D,s,ms,us,ns) denote the unit,