Tag pandas

[Solved] Panda Data Manipulation

If your second dataframe in your upper screenshot is called df, this should do: df.set_index(‘Name’).stack().reset_index(level=0) 2 solved Panda Data Manipulation

[Solved] Validating data with Pandas DataFrame [closed]

After going through the Pandas documentation, found the way to validate the data. Let’s just say you have a custom validation function. def validate_rating(rating): “””” Description: validate if hotel rating is a digit between 0 to 5 Args: rating (str):…

[Solved] Sorting Pandas data by hour of the day

after converting to datetime pd.to_datetime(df[‘date’]) you can create a separate column with the hour in it, e.g. df[‘Hour’] = df.date.dt.hour and then sort by it df.sort_values(‘Hour’) EDIT: As you want to sort by time you can instead of using hour,…

[Solved] how to save sql query result to csv in pandas

You can try following code: import pandas as pd df1 = pd.read_csv(“Insert file path”) df2 = pd.read_csv(“Insert file path”) df1[‘Date’] = pd.to_datetime(df1[‘Date’] ,errors=”coerce”,format=”%Y-%m-%d”) df2[‘Date’] = pd.to_datetime(df2[‘Date’] ,errors=”coerce”,format=”%Y-%m-%d”) df = df1.merge(df2,how=’inner’, on =’Date’) df.to_csv(‘data.csv’,index=False) This should solve your problem. 4 solved…

[Solved] how can I loop to get the list named vlist?

Check this out. List Comprehension import numpy as np import pandas as pd df = pd.read_csv(‘census.csv’) data = [‘SUMLEV’,’STNAME’, ‘CTYNAME’, ‘CENSUS2010POP’] df=df[data] adf = df[df[‘SUMLEV’]==50] adf.set_index(‘STNAME’, inplace=True) states = np.array(adf.index.unique()) vlist=[adf.loc[states[i]][‘CENSUS2010POP’].sort_values(ascending =False).head(3).sum() for i in range(0,7)] 3 solved how can…

[Solved] how to calculation cost time [closed]

I think I understand what you’re asking. You just want to have a new dataframe that calculates the time difference between the three different entries for each unique order id? So, I start by creating the dataframe: data = […