WebThere are four ways to convert columns to string 1. astype (str) df ['column_name'] = df ['column_name'].astype (str) 2. values.astype (str) df ['column_name'] = df ['column_name'].values.astype (str) 3. map (str) df ['column_name'] = df ['column_name'].map (str) 4. apply (str) df ['column_name'] = df ['column_name'].apply …

Python Pandas concatenate a Series of strings into one string

WebYou can convert the items to strings by specifying basestring: df.index = df.index.astype (basestring) or if that doesn't work: df.index = df.index.map (str) Refering to the comments from this answer, it might have to do with your pandas/python version. Share Improve this answer Follow edited May 23, 2024 at 12:02 Community Bot 1 1 WebJul 23, 2024 · You seem to have a string "None" in one (or more) of the cells. Try to first replace it with np.nan and then cast to numeric: import numpy as np df = df.replace … ind 690 service mode

pandas.Series — pandas 2.0.0 documentation

Web2. Don't convert to strings in the first place. There's very little reason to convert a numeric column into strings given pandas string methods are not optimized and often get … WebYou can use to_datetime() with a format string to extract the date: date = pd.to_datetime(df.Start_Time, format='%Y, %m, %d').dt.date You can also modify the … Web1. If your index is a PeriodIndex, you can convert it to a str list as the following example shows: import pandas as pd pi = pd.period_range ("2000-01", "2000-12", freq = "M") print … ind 525 rejection